syllabi - aligarh muslim university b.tech. (computer engineering) revised with effect from 2017-18...

SYLLABI

B.TECH. (COMPUTER ENGINEERING)

REVISED WITH EFFECT FROM 2017-18

DEPARTMENT OF COMPUTER ENGINEERING

ALIGARH MUSLIM UNIVERSITY, ALIGARH

2017-2018

DEPARTMENT OF APPLIED CHEMISTRY

B. Tech. (for all branches)

Course Title Applied Chemistry

Course Number : ACS1110

Credits : 4

Course Category : BS

Credits : 04

Contact Hours (L-T-P) : 3-1-0

Type of Course : Theory

Course Assessment : Course Work (Home Assignment & Quizzes (15%)

Midsem Examination (1 Hour) (25%)

Endsem Examination (2 Hours) (60%)

Course Objectives

To impart the knowledge of applications of chemical sciences in the field of engineering and technology.

Course Outcomes

After completion of the course the students shall be able to understand:

1. The basic knowledge of methods of chemical analysis and the instrumentation involved

2. Water treatment procedures for municipal and industrial uses.

3. About solid, liquid and gaseous fuels

4. About lubricants, types and their applications

5. About corrosion and techniques to control corrosion

6. About polymers and their applications

Syllabus

UNIT-I: METHODS OF CHEMICAL ANALYSIS (10 L)

Introduction to chemical analysis, Classification, Qualitative and gravimetric analysis, (quantitative analysis) Principle

of gravimetry. The steps involved in gravimetric analysis, with special emphasis on precipitation, Digestion, Favorable

conditions for precipitation, Von-Wiemarn ratio, Types of precipitates, Impurities in precipitates and their

minimization.Volumetric Analysis, Titration, Titrant, Analyte Basic requirements of titrimetric method. Primary and

Secondary standards, Basic requirements of primary standard. Types of titrations, Acid-Base Titration (strong acid

versus strong base, pH Titration curve) Redox titration (Iodimetry, Iodometry), Precipitation titration (Silver nitrate

versus sodium chloride), Chelometric titration (Ca2+

/Mg2+

versus EDTA). Absorption Spectrophotometry, Beer and

Lambert‘s law (definition and units of terms involved, deviation from Beer Lambert‘s law, numerical problems), block

diagram of single beam UV – Visible Spectrophotometer. Definition of chromatography, Stationary and mobile

phases, Classification of chromatography on the basis of physical mode and mechanism (adsorption, partition, size

exclusion and ion exchange), RF Value.

UNIT-II: TREATMENT OF WATER FOR MUNICI PAL AND INDUSTRIAL USE (10 L)

Uses of water for municipal and industrial purposes, Sources of water, Impurities in water, Requirements of water for

municipal use, Municipal water treatment methods, Plain sedimentation, Sedimentation with coagulation and

filtration. Disinfection, Requirements of a good disinfectant, Types of disinfecting agents (Bleaching powder, Liquid

chlorine, Ozone, UV radiations and Chloramine), Break point chlorination, Advantages of break point chlorination,

super chlorination and dechlorinationRequirements of water for industrial use, Hardness of water, Units of hardness,

Calculation on hardness, Theories of estimation of hardness by soap and EDTA methods.Boiler defects (Sludge and

scale formation, Priming and foaming), Boiler corrosion and caustic embrittlement (Causes and prevention). Removal

of hardness, Lime-soda process, Zeolite process, Ion-exchange process Advantages and limitations of the process,

Calculations based on lime – soda process.

UNIT-III: FUELS AND COMBUSTION (10 L)

Definition of fuels, Classification of fuels, Calorific value and its determination by bomb calorimeter, Dulong‘s

formula. Coal, Coal analysis (Boximate and ultimate analysis), Significance of constituents of coal Petroleum,

Classification and important fractions of petroleum and their uses (Petrol, Diesel, Lubricating oils), Synthetic petrol

(Synthesis by polymerization, by cracking by Fisher Tropsch process by Bergius process) Gaseous fuels (CNG,

LPG), Advantages and disadvantages of gaseous fuels, Combustion calculations based on solid and liquid fuels.

UNIT-IV: LUBRICANTS AND LUBRICATION (10 L)

Definition and classification of lubricants, Functions of lubricants, Lubrication (Types of lubrication and their

mechanisms). Liquid lubricants (Mineral oils, Fatty oils, Compounded oils and Silicone fluids) Greases types of

greases and conditions of their use, Testing of greases, Solid lubricants and conditions of their use. Testing of liquid

lubricants (Viscosity and viscosity index, Flash and fire points, cloud, pour and setting points, Saponification value,

Aniline point), Selection of lubricants (Cutting tools, Internal combustion engine, Transformer, Refrigerators).

UNIT- V: CORROSION AND ITS PREVENTION (10 L)

Definition, Significance (Economic aspect), Classification of corrosion. Dry corrosion, Mechanism of dry corrosion,

Types of oxide film, Pilling Bedworth rule. Electrochemical corrosion, mechanism of electrochemical corrosion,

Factors influencing corrosion rate. Electrochemical series and Galvanic series Corrosion control methods (proper

design, important designing principles, selection materials cathodic protection, metallic coatings (galvanizing, tinning)

Organic Coatings, types, Paints, (Constituents of paints, Drying mechanism of oil).

UNIT-VI: POLYMERS (10 L)

Definition and classification of polymers (On the basis of origin, synthesis, thermal response, physical state,

applications, chemical structure) Polymerization (Addition and condensation), Mechanism of free radical addition

polymerization of vinyl chloride, Difference between thermoplastics and thermosetting. Thermoplastics (Preparation,

properties and uses of PE, PVC, Nylons, PTFE) Thermosetting plastics (Preparation, properties and uses of bakelite,

polyesters) Elastomers (Preparation, properties and uses of NR, BUNA rubbers), vulcanization.

Suggested Readings/Text/References

1. Analytical Chemistry by G.D. Christian, John Wiley and Sons, New York.

2. Quantitative Analysis by R.A. Day and A.L. Underwood.

3. A Text Book of Engineering Chemistry by S.S. Dara, S. Chand & Co., New Delhi (India).

4. Engineering Chemistry by B.K. Sharma, Krishna Prakashan Media (P) Ltd., Meerut (India).

5. Engineering Chemistry by P.C. Jain, Dhanpat Rai Publishing Company, New Delhi.

Course Outcomes Program Outcomes (POs)

a b c d e f g h i j k

1 x x x

2 x x

3 x x

4 x x

5 x x x

6 x x

2017-2018

DEPARTMENT OF APPLIED MATHEMATICS


Course Title : Mathematics -I

Course Number : AMS1110

Credits : 04


Pre-requisite(s) : Nil



Course Assessment : Course Work (Home Assignments) (15%)

Midsem Examination (1 hour) (25%)


Course Objectives

To learn the fundamental concepts of matrices, differential and integral calculus, the theory of differential equations,

applications.

Course Outcomes

After completing this course the students should be able to:

1. apply tools of the theory of matrices to relevant fields of Engineering.

2. understand curve tracing and regions between different curves.

3. expand important mathematical functions in power series and their applications.

4. apply tools of integration to find length, surface area and volume.

5. express real life problems into mathematical models using differential equations and analyse their solutions.

Syllabus

Unit-1 Rank of a matrix with applications to consistency of a system of linear equations, eigen-values and

eigen vectors of a matrix, Caley-Hamilton theorem.

Unit-2 Asymptotes and simple curve tracing. successive differentiation, Leibnitz‘s theorem, Taylor and

Maclaurin series with remainder terms.

Unit-4 Applications of integration to lengths of curves, surfaces and volumes of solids of revolution.

Unit-5 Solution of exact differential equations, linear differential equations of second and higher order with

constant coefficients, homogeneous differential equations, simultaneous linear differential equations,

applications to physical problems.

Text Book(s)/Reference Book(s)

1 Chandrika Prasad , ″A First Course in Mathematics for Engineers″, Pothishala Pvt. Ltd., Allahabad.

2 Chandrika Prasad, ″ Mathematics for Engineers″, Pothishala Pvt. Ltd., Allahabad.

3 Erwin Kreyszig, ″Advanced Engineering Mathematics″, John Wiley & Sons, INC.



1 x x x

2 x x

3 x x

4 x x x

5 x x x x

2017-2018



Course Title : Mathematics –II

Course Number : AMS1120

Credits : 04








Course Objectives

To learn partial differentiation, multiple integration, polar forms of conics, various forms of general equation of

second degree and its tracing, applications.

Course Outcomes


1. understand the the theory of functions of saveral variables and its applications .

2. understand double and triple integrals and use it to find surface area and volume.

3. learn various forms of general equation of second degree and its tracing

4. understand polar forms of conics.

Syllabus

Unit-1 Partial differentiation, Euler‘s theorem, total differential, small errors, change of variables, Jacobians.

Unit-2 Taylor series of functions of two variables, approximate calculations, maxima and minima of functions

of two variables, Lagrange‘s multipliers.

Unit-3 Double and triple integrals, change of variables, change of order of integration, applications to area and

volume.

Unit-4 General equation of second degree, tracing of conics, introduction to polar form of conics.


1 Chandrika Prasad , ″A First Course in Mathematics for Engineers″, Pothishala Pvt. Ltd., Allahabad.


3 Erwin Kreyszig , ″Advanced Engineering Mathematics″ , John Wiley & Sons, INC.

4 Gorakh Prasad, ″ A text book of coordinate geometry″, Pothishala Pvt. Ltd., Allahabad.



1 x x x

2 x x

3 x x

4 x x x

2017-2018

DEPARTMENT OF APPLIED PHYSICS


Course Title Applied Physics

Course Number : APS1110

Credits : 4


Pre-requite(s) : None

Contact Hours : 3-1-0


Course Work : Home Assignments (15%)


Endsem Examination (2 Hourss) (60%)

Course Objective:

To equip the student with a strong understanding of the fundamentals of physics so as to enable him/her to apply it to

his/her field of study.

This course should enable the student to-

1. explain the behaviour of the physical world around him/her

2. apply the concepts of physics in his/her field of study

3. relate the concepts of physics to the advancement of technology.

4. understand and relate the different phenomena in the world.

5. approach problems, predict their results in advance, and solve them in quantitative and qualitative manner.

6. gain a broader understanding of other sciences.

Course Outcomes:

Upon completion of the course, the student will be able to:

1. recognize and present real life examples of the aforementioned concept and interrelate some of them.

2. describe the link between physics and the technology.

3. identify technological applications of some of the aforementioned concepts.

4. describe how he/she can harness the benefits of some of the aforementioned concepts to his /her area of

specialization.

5. understand the professional and ethical responsibilities of the subject.

6. communicate effectively while speaking, employing graphics and writing.

Syllabus

Unit 1 Masers and Lasers: Basic principle, Einstein coefficients for Induced absorption, Spontaneous emission and

Induced emission, Ammonia maser and its applications, Ruby and He-Ne Lasers, Semiconductor laser,

Spatial and temporal coherence, Characteristics of lasers and its applications based on these characteristics

(such as in Industry, Science,

Medicine, Communications, Surveying, Holography, Fusion reactors, Isotope separation, etc.).

Fibre Optics: Basic principle, Fibre construction and dimensions, Light propagation in fibres, Numerical

aperture of the fibre, Step index and graded index fibres, Signal distortion in optical fibres, Transmission

losses, Light wave communication in optical fibres, Fibre optics in medicine and industry.

Unit 2 Semiconductors: Elemental and compound semiconductors, Energy bands, Direct and indirect

semiconductors, Electrons and holes, Effective mass, Intrinsic material, Extrinsic material, Fermi level,

Electron and hole concentration at equilibrium, Temperature dependence of carrier concentrations,

Compensation and space charge neutrality, Conductivity and mobility, Hall effect in semiconductors.

Superconductivity: Zero resistivity, Meissner effect, Type I and Type II Superconductors, High

temperature superconductors, BCS theory (qualitative), Josephson effect, SQUIDS.

Unit 3 Particles and Waves: Mechanism of X- ray production (continuous and characteristic X- rays, Duane- Hunt

limit), Compton effect, Pair production, Phase and group velocities, Uncertainty principle.

Quantum Mechanics: Introduction to quantum mechanics, Wave function, Conditions necessary for

physically acceptable wavefunction, Probability density and probability, Schrödinger equation (Time

dependent form and Steady state or time independent form), Eigenvalues and eigenfunctions, Expectation

values, Particle in a box (Infinite square potential well), Tunnel effect (qualitative).

Unit4 Statistical Mechanics : Statistical distributions, Maxwell–Boltzmann statistics, Molecular

energies in an ideal gas, Quantum statistics, Specific heats of solids, Free electron in a metal,

Electron- energy distribution.

Nuclear Physics : Q-value and threshold energy of nuclear reactions, Cross section of a

nuclear reaction and reaction rate, Breeder reactors, Fusion reactors, Nuclear detectors

(names and general working principle), Gas filled detectors, Scintillation detectors.

Text and Reference Books

1. Ben G. Streetman, ―Solid State Electronic Devices‖ 5th

edition (2000), Prentice-Hall of India Private

Limited, New Delhi.

2. Arthur Beiser, ―Concepts of Modern Physics‖ 6th

edition (2003), Mc. Graw Hills Inc. International Edition.

3. M.R. Wehr, J.A. Richards Jr. and TW Adair III, ―Physics of the Atom‖ 4th

edition (1984), Addison Wesley /

Narosa.

4. M.R. Srinivasan, ―Physics for Engineers‖ 1st edition (1996), New Age International (P) Limited, Publishers.



1 x x x x

2 x x

3 x x x x

4 x x

5 x x x x x

6 x x x

2017-2018

DEPARTMENT OF CIVIL ENGINEERING


Course Title : Environmental Studies Course Number : CEA1110

Department : Civil Engineering

Designation : Required Course (ESA)

Pre-requisites : No Prerequisite required for first Year Course

Contact Hours : Lecture 3- Tutorial 1

Assessment Method : Mid Semester , Home Assignment and End Semester Examination

Course Objectives:

1. To understand the basic concept of ecology, atmospheric structure and its chemistry involved.

2. To have a knowledge about the air quality and its standards and how to control air pollution.

3. To have knowledge about Water Quality: Physical, Chemical and Biological parameters.

4. To understand the Water purification processes in natural systems and introduction to Water Treatment

Technologies.

5. To know about the wastewater characteristics and wastewater treatment technologies.

6. To have a knowledge about the solid waste management.

Course Outcomes:

Upon successfully completing this course in environmental studies, it is expected that student will be able to:

1. Understand fundamental physical and biological principles that govern natural processes.

2. Demonstrate an in-depth understanding of the sub disciplines within environmental studies (i.e. Biology.

Chemistry, Physics etc).

3. Communicate environmental scientific information to both professional and lay audiences.

4. Demonstrate an understanding of current environmental challenges.

5. Develop a basic fundamental background for the higher environmental engineering courses offered in civil

engineering department.

Syllabus

Unit I

Concepts of Ecology: Ecosystem, Energy and nutrient flow in ecosystem, Food chain, Environmental Segments:

Atmospheric Structure, Classification of air pollutants, sources of air pollution and their effects on human health and

property. Atmospheric chemistry, Photochemical Smog, Ozone depletion.

Unit II

Air Quality and Standards, Meteorological phenomena and their influence on Air Quality, Lapse rates, Dispersion of

Pollutants.

Air Pollution Control: Introduction to Particulate and Gaseous pollutant control.

Unit III

Water Quality: Physical, Chemical and Biological parameters. Water quality standards, Biochemical (BOD) and

Chemical Oxygen Demand (COD). BOD/COD Calculations

Environmental Analyses: pH, Alkalinity, Conductivity, Ammonia, Fluoride, Sulphate, Chloride. Analysis and

measurement of gaseous pollutants.

Unit IV

Water purification processes in natural systems: Dissolved Oxygen (DO), Impact of wastewater discharge on streams,

Oxygen Sag Curve.

Introduction to Water Treatment Technologies: Sedimentation, Coagulation and Flocculation, Hardness Reduction,

Filtration and Disinfection.

Unit V

Wastewater Characteristics, Introduction to wastewater treatment technologies. Primary Treatment: Screening, Grit

Removal, Flow measurement, Flow equalization. Secondary Treatment: Microbial growth curve, Suspended and

Attached growth systems.

Unit VI

Solid Waste: Classification, Sources and Characteristics.

Waste Management: Solid Waste Generation, Collection, Processing and Disposal Methods.

Resource Recovery in Waste Management, Biological and Thermal Conversion Processes.

Text Books, Reference Books:

1. Venugopala Rao, P., 2006, Principles of Environmental Science and Engineering, Prentice-Hall of India

Private Limited, New Delhi.

2. Masters, G.M., 1991, Introduction to Environmental Engineering and Science, Prentice-Hall International,

Inc., Englewood Cliffs, NJ.

3. Peavy, H.S., D.R. Rowe and G. Tchobanoglous, 1985, Environmental Engineering, McGraw-Hill Book

Company, New York.

4. Henry, J.G. and G.W. Heinke, 1989, Environmental Science and Engineering, Prentice-Hall International,

Inc., Englewood Cliffs, NJ.

5. Sawyer, C.N. and P.L. McCarty, 1978, Chemistry for Environmental Engineering, 3rd

Edition, McGraw-Hill

Book Company, New York.

6. Tchobanoglous, G., H. Theisen and S. Vigil, 1993, Integrated Solid Waste Management, McGraw-Hill Inc.

Singapore.

Course outcomes- program outcomes relationship matrix



1 x x

x

2 x x

3 x x

4

x x

5 x x

2017-2018

DEPARTMENT OF ENGLISH


Course Number and Title : EZH1110 English

Credits : 3

Course Category : Humanities (HM)

Pre-requisite(s) :



Course Assessment : Home Assignments (15%)



Course Objectives

To develop reading, writing, communication and presentation skills.

Course Outcomes

Upon successful completion of this course, it is expected that students will be able to:

1. Develop reading and writing skills.

2. Develop comprehension and interpretative skills.

3. Communicate one‘s point of view in both written and verbal formats with clarity and grammatically correct

language.

4. Express themselves clearly and appropriately in social and professional fields and strengthen professional

etiquette.

5. Develop effective communication and presentation skills so as to maximize their scope for employability.

6. Enhance attitude for observational and analytical learning.

Syllabus

Unit-I: Comprehensive questions, summary type as well as short answer type and questions on vocabulary for 10

passages of ‘Basic Scientific English‘ by Ewer and Latorre.

Unit-II: Comprehensive questions, summary type or short answer type from ’Animal Farm‘ by G. Orwell.

Unit III: Comprehensive questions, summary type or short answer type from ’Time Machine‘ by H. G. Wells.

Unit IV: Note taking, note making exercises, report and precise writing exercises.

Unit V: Grammar, Composition and Spoken English

Text Book(s)

1. Ewer and Latorre, ―Basic Scientific English‖, Longman Press.

2. George Orwell, ―Animal Farm‖

3. H. G. Wells, ―The Time Machine‖, Macmillan Press

Relationship of COs with Pos



1 x x

2 x x

3 x x

4 x x

5 x

6 x x x

2017-2018

DEPARTMENT OF ELECTRICAL ENGINEERING


Course Title Basics of Electrical Engineering Course number EEA1110

Credit Value 2

Course Category ESA

Pre-requisite Nil

Contact Hours (L-T-P) 2-1-0

Type of Course Theory

Course

Objectives

The objective of this course is to set a firm and solid foundation in Electrical & Electronics

Engineering with strong analytical skills and conceptual understanding of theorems and analysis

methods in electrical and magnetic circuits, electronic devices, circuits, measuring instruments.

The course will familiarize students with various motors, transformers, power generation

system.

Course

Outcomes

After successful completion of this course, the students will be able to:

1. Analyse electrical and magnetic circuits with moderate complexity applying

fundamental laws and theorems in steady-state as well as transient operation.

2. Analyse AC circuits using phasors.

3. Converse with transformers, motors, measuring instruments.

4. Understand various methods of electrical generation

5. Identify schematic symbols and understand the working principles of electronic

devices e.g. Diode, Zener Diode, LED, BJT, JFET and MOSFET etc.

6. Understand the working principles of electronic circuits e.g. Rectifiers, Amplifiers and

Operational Amplifiers etc.

7. understand methods to analyse and characterize these circuits

Syllabus

Part A

Unit I:

Circuit and Transformers: Review of dc circuits and theorems, 1-phase circuits,

superposition theorem, thevenin‘s theorem and norton‘s theorem for ac circuits, RLC series

and parallel circuits, 3-phase balanced ac circuits.

Magnetic circuits, magnetization curve, hysteresis & eddy current effect/losses.

Transformer construction, equivalent circuit, calculation of losses and efficiency.

Unit II:

Introduction to electrical machines, instruments and power system: 3-phase induction

motor and 1-phase induction motors.

Basic elements of an instrument: MC, MI instruments, dynamometer wattmeter, digital energy

meter.

Elements of power system, layout of thermal, hydro, nuclear and gas plants.

Introduction to renewable energy sources and recent trends in generation.

Part B

Unit III:

Diode and BJT: Terminal characteristics of diodes, diodes models; Ideal, constant voltage and

piecewise linear, load line concept, Diode applications; Rectifier, logic gates, Zener diode;

Operation, characteristics, voltage regulation. Bipolar Junction Transistor; Construction,

operation, configurations, characteristics of common emitter configuration, DC load analysis.

Unit IV:

MOSFET and OpAmp: Introduction to MOSFET; Depletion MOSFET construction,

operation, Enhancement MOSFET construction, Operation, amplifiers, Operational

Amplifiers; equivalent circuit, ideal behavior, open loop and closed loop concept, concept of

virtual short, simple Opamp applications; Unity gain amplifier, inverting, non-inverting,

integrator, differentiator, subtractor, summer.

Books/

References

1. Ashfaq Husain*: Fundamentals of Electrical Engineering, 3rd

Edition, Dhanpat Rai & Sons

2. R. Boylestad & L. Nashelsky*: Electronic Devices and Circuits, Prentice Hall, 1995

3. Hughes: Electrical Technology. 7th

edition, Addison Wesley

4. A.K. Sawhney: A course in Electrical & Electronics Meas. & Inst., Dhanpat Rai & Sons

5. B.R. Gupta: Electrical Power Systems, Wiley Eastern

6. Mathur, Chadda and Kulshresta: Electronic Devices, Applications and Integrated Circuits,

Umesh Publications.



1 x x x x x

2 x x x x x x

3

4 x x

5 x x x

6 x x x x x

7 x x

2017-2018



Course Title Principles of Electronics Engineering Course number ELA1110

Credit Value 3

Course Category ESA

Pre-requisite Nil



Course

Objectives

The objective of this course is to set a firm and solid foundation in Electrical & Electronics

Engineering with strong analytical skills and conceptual understanding of theorems and analysis

methods in electrical and magnetic circuits, electronic devices, circuits, measuring instruments.

The course will familiarize students with various motors, transformers, power generation

system.

Course

Outcomes

After successful completion of this course, the students will be able to:

8. Analyse electrical and magnetic circuits with moderate complexity applying

fundamental laws and theorems in steady-state as well as transient operation.

9. Analyse AC circuits using phasors.

10. Converse with transformers, motors, measuring instruments.

11. Understand various methods of electrical generation

12. Identify schematic symbols and understand the working principles of electronic

devices e.g. Diode, Zener Diode, LED, BJT, JFET and MOSFET etc.

13. Understand the working principles of electronic circuits e.g. Rectifiers, Amplifiers and

Operational Amplifiers etc.

14. understand methods to analyse and characterize these circuits

Syllabus

Part A

Unit I:

Circuit and Transformers: Review of dc circuits and theorems, 1-phase circuits,

superposition theorem, thevenin‘s theorem and norton‘s theorem for ac circuits, RLC series

and parallel circuits, 3-phase balanced ac circuits.

Magnetic circuits, magnetization curve, hysteresis & eddy current effect/losses.

Transformer construction, equivalent circuit, calculation of losses and efficiency.

Unit II:

Introduction to electrical machines, instruments and power system: 3-phase induction

motor and 1-phase induction motors.

Basic elements of an instrument: MC, MI instruments, dynamometer wattmeter, digital energy

meter.

Elements of power system, layout of thermal, hydro, nuclear and gas plants.

Introduction to renewable energy sources and recent trends in generation.

Part B

Unit III:

Diode and BJT: Terminal characteristics of diodes, diodes models; Ideal, constant voltage and

piecewise linear, load line concept, Diode applications; Rectifier, logic gates, Zener diode;

Operation, characteristics, voltage regulation. Bipolar Junction Transistor; Construction,

operation, configurations, characteristics of common emitter configuration, DC load analysis.

Unit IV:

MOSFET and OpAmp: Introduction to MOSFET; Depletion MOSFET construction,

operation, Enhancement MOSFET construction, Operation, amplifiers, Operational

Amplifiers; equivalent circuit, ideal behavior, open loop and closed loop concept, concept of

virtual short, simple Opamp applications; Unity gain amplifier, inverting, non-inverting,

integrator, differentiator, subtractor, summer.

Books/

References

7. Ashfaq Husain*: Fundamentals of Electrical Engineering, 3rd

Edition, Dhanpat Rai & Sons

8. R. Boylestad & L. Nashelsky*: Electronic Devices and Circuits, Prentice Hall, 1995

9. Hughes: Electrical Technology. 7th

edition, Addison Wesley

10. A.K. Sawhney: A course in Electrical & Electronics Meas. & Inst., Dhanpat Rai & Sons

11. B.R. Gupta: Electrical Power Systems, Wiley Eastern

12. Mathur, Chadda and Kulshresta: Electronic Devices, Applications and Integrated Circuits,

Umesh Publications.



1 x x x x x

2 x x x x x x

3

4 x x

5 x x x

6 x x x x x

7 x x

2017-2018

DEPARTMENT OF MECHANICAL ENGINEERING


Course Title : Thermal Science

Course Number : MEA1110

Credits : 4

Course Category : ESA

Pre-Requisites : -



Course Work : Home Assignments 15%

Mid-Sem Examination (1 hour) 25%

End-Sem Examination (2 Hourss) 60%

Course Objectives:

At the end of this course the student will

1. Be able to have the basic concepts of thermal sciences and their application to in formulating the thermal

engineering problems.

2. Have a good understanding of first and second laws of thermodynamics and will be in

3. Be a position to fully understand the analysis to be taught at the higher levels.

4. Be in a position to check the feasibility of proposed processes and cycles using the ideas of second law

of thermodynamics and entropy.

5. Have the understanding of basic principles of heat transfer and related simple problems.

Course outcomes:

After taking this course the students shall be able to have:

1. The basic concepts of units and dimensions, systems(open and closed systems and control volumes) and its

boundaries, properties, state, process, cycle, quasi-static process etc.- required as foundation for development

of principles and laws of thermodynamics

2. Intuitive problem solving technique

3. Knowledge of two property rule and hence thermodynamic tables, thermodynamic diagrams and concept of

equation of state; also their simple application.

4. Heat, work and first law of thermodynamics. Application of energy balance

5. Second law of thermodynamics and its corollaries viz. absolute (thermodynamic) temperature scale,

reversibility, entropy, feasibility of a process based on first law and second law, isentropic efficiency of

adiabatic machines.

6. Introductory knowledge of power and refrigeration cycles. Their efficiencies and coefficients of performance.

7. Introductory ideas of heat transfer in conduction, convection and radiation modes. Application of these

concepts to heat transfer in single and combined modes.

Syllabus:

Unit –I

Dimensions and units, system, boundary, types of systems and boundaries, property, cycle , thermodynamic

equilibrium and quasi-static process.Pressure and its measurement, zero‘th law of thermodynamics, temperature

and its measurement, numerical problems.

Unit-II

Thermodynamic and mechanics‘ definition of work, displacement work and its expressions, engine indicator and

indicated work, introduction to 2-stroke and 4-stroke engines, heat, work and heat as energy interactions, Joule‘s

experiment & mechanical equivalent of heat, first law of thermodynamics for cyclic and non cyclic processes,

definition of energy as a property, internal energy, enthalpy, specific heats, first law for a control volume, steady

flow energy Equation ( SFEE ), and it‘s applications, numerical problems.

Unit-III

Pure substance, different phases of pure substance, two-property rule, property diagrams, tables and charts,

equation of state of an ideal gas, t~τ , t~p, p~v, and p~h diagrams, phase boundaries,

S-L-V region, CP and TP, dryness fraction and its measurement using throttling calorimeter, limitation of

throttling calorimeter, separating & throttling calorimeter, numerical problems.

Unit-IV

Limitations of first law , heat engine, heat pump, refrigerator, second law of thermodynamics- Kelvin Planck‘s

and Clausius statements and their equivalence, efficiency of heat engine and coefficient of performance of heat

pump and refrigerator, reversible and irreversible processes, Carnot cycle and its efficiency, corollaries of second

law, the thermodynamic temperature scale. inequality of Clausius, entropy, principle of increase of entropy,

isentropic process, t~s and h~s diagrams ( Mollier chart), second law applications, air standard otto, diesel, dual,

simple Brayton and steam power cycles (Rankine ycle), numerical problems.

Unit V

Modes of heat transfer, Fourier‘s law of steady state heat conduction ( one dimensional conduction), thermal

conductivity and its unit, conduction through slab or plane wall, hollow cylinders and spheres conduction through

composite walls and hollow cylinders and spheres with multi-layers, convective heat transfer, Newton‘s law of

cooling, electrical analogy and overall heat transfer coefficient, combined conductive and convective heat

transfer, radiation and radiation properties of surfaces, black body, emissive power, Stefan Boltzmann‘s law,,

emissivity, monochromatic emissive power and monochromatic emissivity, grey body, Kirchoff‘s law, Wien‘s

displacement law, numerical problems.

Reference Books:

1. Thermodynamics, An Engineering Approach by Yunus A. Cengel and Michael A Boles

2. Engineering Thermodynamics by D.B. Spalding and E. H. Cole.

3 .Engineering Thermodynamics by R. Joel

4. Engineering Thermodynamics by P.K.Nag.

5. Engineering Heat Transfer by C.P.Gupta and R. Prakash.



1 x x x x x

2 x x x x x

3

4 x

5 x x x

6 x x x x x x

7 x x

2017-2018



Course Title : Engineering Mechanics


Credits : 3


Pre-Requisites(s) : None

Contact Hours : 2 – 1 – 0



MidSem Examination (1 Hour) 25%

EndSem Examination (2 Hourss) 60%

Course Objectives:

1. To give students practice in applying their knowledge of mathematics, science, and engineering and to

expand this knowledge into the vast area of Applied Mechanics.

2. To enhance students‘ ability to design by requiring the solution of open ended problems.

3. To prepare the students for higher level courses such as courses in Mechanics of Solids, Mechanical

Design and Structural Analysis.

Course Outcomes:

After taking this course students should be able to:

1. Work comfortably with basic engineering mechanics concepts required for analyzing static structures.

2. Identify an appropriate structural system to study a given problem and isolate it from its environment.

3. Model the problem using good free-body diagrams and accurate equilibrium equations

4. Identify and model various types of loading and support conditions that act on structural systems.

5. Apply pertinent mathematical, physical and engineering mechanical principles to the system to solve and

analyze the problem.

6. Communicate the solution to all problems in an organized and coherent manner and elucidate the

meaning of the solution in the context of the problem.

7. develop concepts of rigid body kinematics and dynamics with an emphasis on the modeling, analysis,

and simulation of how forces produce motion of rigid body systems.

8. Determine simple dynamic variables and solve simple dynamic problems involving kinematics, energy

and momentum.

9. Determine internal actions in statically determinate structures and draw internal action diagrams –Shear

Force (SFD) and Bending Moment Diagrams (BMD) for these structures.

Syllabus:

Unit 1:

Fundamental Concepts and principles of Mechanics. Reduction of a system of forces to a force couple system, Free

body diagrams, equilibrium of rigid bodies in 3 dimensions, reactions, loading indeterminacy and solvability. Friction

forces and laws of dry friction. Principle and application of virtual work.

Unit 2:

Analysis of Multiple particle system: Aplication of Newton‘s laws, linear and angular momentum, kinetic energy and

work energy principle, principle of impulse and momentum to a system of particles.

Unit 3:

Translation and rotation about a fixed axis, general plane motion, absolute and relative velocity in plane motion,

angular momentum of rigid body in plane motion. Problems of motion of rigid bodies and system of rigid bodies,

principle of work and energy, conservation of energy for rigid body and a system of rigid bodies.

Unit 4:

Analysis of stress and strain: Mechanical properties, analysis of simple state of stress and strains, elastic constants,

example of state of tension, compression and shear.

Unit 5:

Bending shear and torsion: Concept of bending and shear forces in simple beams, Relationship between load, bending

moment and shear force. Bending and shear stresses in simple beams, concepts of torsion in circular shafts.

Text Books:

1. Beer Ferdinand P. and Johnston Jr. E Russel, Vector Mechanics of Engineering: Statics and Dynamics, Metric

edition, Mc. Graw Hill, New Delhi.

2. Popov E., Engineering Mechanics of Solids, PHI, Delhi.

Reference Books:

1. Merium, JL, Engineering Mechanics (Volume I and II), 3rd edition, (SI version) John Wiley and sons, Inc, NT.

2. Timoshenko S. and Young DH, Elements of strength of materials, DYNC, New York.



1 x x x x x

2 x x x x x

3

4 x

5 x x x

6 x x x x x x

7 x x

8 x x x x

9 x x

2017-2018



Course Title : Applied Chemistry Lab

Course Number : ACS1910

Credits : 1.5


Pre-Requisites(s) :


Type of Course : Lab

Course Assessment : Evaluation by viva Voce (60%)


Course Objectives

To train the students for the applications of the chemical sciences in the field of engineering and technology.

Course Outcomes


1. The basic methods of chemical analysis and the instrumentation involved.

2. To estimate the hardness of water.

3. To carry out the proximate analysis of coal and grade the coal for indisutrial purposes.

4. To estimate the drop point of grease and its applications.

5. To study and explore the nature of the corrosion and its control.

6. About the determination of the molecular weight by viscometer.

Syllabus

1. Determine total, permanent and temporary hardness of water in ppm by versenate method.

2. To determine the amount of dissolved oxygen in water in ppm units.

3. To determine the cloud point, pour point and setting point of an oil.

4. To determine the percentage of available chlorine in the given sample of bleaching powder.

5. To carry out proximate analysis of the given sample of coal.

6. To determine the saponification value and percentage of fatty oil in the given sample of compounded oil.

7. To determine the aniline point of a given sample of an oil.

8. To determine the relative viscosity of an oil by redwood viscometer and to study the variation of viscosity

with change in temperature.

9. To demaonstrate and explore the electrochemical nature of aqueous corrosion. To study the electrochemical

methods of corrosion control.

10. To determine the flash point of an oil by Abel‘s and Pensky Marten‘s apparatus.

11. Determination of iron in a given sample of water with 1, 10 phenanthroline by spectrophotometry.

Suggested Readings/Text/References

1. Lab Manuals provided by the Department.



1 x

2 x

3 x

4 x

5 x

6 x

2017-2018



Course Title Applied Physics Lab.

Course Number : APS1910

Credits : 1.5




Type of Course : Lab.

Course Work :

Regular Lab. Assignments (42% record book+18% viva-voce) (60%)

Endsem Examination (2 hour) (40%)

Course Objective:

This course should enable the student to-

1. build an understanding of the fundamental concepts with the help of experiments.

2. familiarize the student with the various experiments of the physical world around him/her.

3. apply the concepts of physics in his/her field of study.

4. relate the concepts of physics to the advancement of technology.

5. allow the student to gain expertise in design and maintenance of experiment setup.

Course Outcomes:

Upon completion of the course, the student will be able to:

1. recognize and present real life examples of various experiment performed.

2. describe the link between physics and the technology.

3. understand and explain data analysis and identify technological applications of the experiments.

4. describe how he/she can harness the benefits of some of the experiments to his /her area of specialization.

5. understand the professional and ethical responsibilities of the subject.


Syllabus

List of Experiments

1. To determine the moment of inertia, I of a flywheel about its axis of rotation.

2. To determine resistance per unit length, σ of a Carey Foster‘s Bridge wire and hence to find the difference

between the two nearly equal unknown resistances.

3. To determine the modulus of rigidity of the material of a wire, η by statical (vertical) method.

4. To determine the refractive index, µ of the material of a prism for parrot green line in the mercury

spectrum.

5. To study the variation of semiconductor resistance with temperature and hence to find the energy- gap, Eg

of the semiconductor.

6. a) To study the V-I and power characteristics of a solar cell and also to determine its fill factor.

b) To study the current versus voltage characteristics of two light emitting diodes (LED) and hence to

determine their cut in voltages.

7. To determine the diameters of three thin wires with the help of a He-Ne Laser.

8. To determine the coefficient of thermal conductivity, K of rubber in the form of a tube.

9. To convert a Weston type galvanometer into an ammeter (ranges 5, 10 and 15 A) and a voltmeter (ranges 5, 10

and 15 V).

10. To determine the wavelength, λ of yellow line of shorter wavelength in the mercury spectrum with plane

transmission grating.

11. To determine the specific rotation, αt of cane sugar solution in water using a biquartz polarimeter.

12. To calibrate a given thermo-couple with the help of a potentiometer.

13. To find the operating voltage of a G.M. counter and to determine the absorption coefficient, μ of copper

for gamma rays from 137

Cs source.

14. a) To draw the graph between various values of capacitance and the corresponding frequencies of a given

oscillator and to determine the value of unknown capacitance by using Lissajous Figures.

b) To draw the graph between various values of inductance and the corresponding frequencies of a given

oscillator and to determine the value of unknown inductance by using Lissajous Figures.

15. To determine Hall coefficient, RH and majority carrier concentration of a given semiconductor sample.


1. Prof. D.S. Srivastava & Dr. Ameer Azam, Laboratory Manual of Applied Physics Experiments, AMU,

Aligarh

2. Indu Prakash and Ramakrishna, A Text Book of Practical Physics, Kitab Mahal, New Delhi.

3. D. P. Khandelwal, A Laboratory Manual of Physics for Undergraduate Classes, Vani Publication House,

New Delhi.

4. K. K. Dey, B. N. Dutta, Practical Physics, Kalyani Publishers, 1981, New Delhi.



1 x x x

2 x x

3 x x

4 x x

5 x x x

6 x x x

2017-2018



Course Title : Engineering Graphics Lab


Credits : 2



Contact Hours (L-T-P) : 0 – 1 – 2



EndSem Examination (2 hours) 40%

Course Objectives:

1. To understand and appreciate the importance of Engineering Graphics.

2. To understand the basic principles of Technical/Engineering Drawing.

3. To understand the different steps in producing drawings according to BIS.

4. To learn basic engineering drawing formats.

Course Outcomes:

After taking this course students should be able to:

1. Understand the theory of plane geometric projection and its classifications.

2. Use Plane/diagonal/isometric scales in engineering graphics.

3. Apply various concepts like dimensioning, conventions and standards related to engineering graphics in order

to become professionally efficient.

4. Read and interpret drawings of simple machine parts/ sectional views in first and third angle of projection

systems.

5. Explain the conventions and the methods of orthographic projection and isometric projection.

6. Improve their visualization skills so that they can apply these skills in developing new products.

7. Model simple machine parts in isometric projections.

8. Develop skills to communicate ideas and information through engineering drawing.

Syllabus:

Unit-1:

Introduction to graphic language, Instruments and their use, Conventional Lines and their uses. Printing of letters and

numerals, Methods of dimensioning. Construction and use of scales, Construction of cycloidal curves and involutes.

Unit-2:

Necessity for orthographic projections 1st & 3rd angle methods of projection. Projection of points & lines on three

coordinate planes, Projections of plane surfaces.

Unit-3:

Orthographic projections of simple machine parts on different planes. Choice of view, Hidden lines, Preparation of

multi view drawings. Necessity of sectional views and their drawings.

Unit-4:

Axonometric Projections. Drawing of isometric projection of simple solids; Development of surfaces of simple solids.

Use and methods of drawing.

BOOKS:

1. P.S. Gill, ―A Test Book of Geometrical Drg., Katson Pub. House, Ludhiana.

2. Warren J. Lucadder, ―Fundamentals of Engg. Drg., Pren. Hall, N. Delhi.

3. N.D. Bhatt, Elementary Engg. Drg., Charotar Pub. House, Anand, India.

Web Links : http://nptel.iitm.ac.in/courses.php, www.cognifront.com/engdrawing.html



1 x x x x

2 x x x x x

3 x x

4 x

5 x x x

6 x x x x x

7 x x

8 x x x x

http://nptel.iitm.ac.in/courses.php

2017-2018



Course Title : Manufacturing Process Laboratory


Credits : 1.5




Type of Course : Laboratory

Course Work : Reports/Viva-Voces (60 Marks) &

End Semester Examination (40 Marks)

Course Outcomes:

1. Knowledge and understanding of various types of ferrous and non-ferrous materials used for manufacturing

processes.

2. Understanding and selection of processes based upon jobs drawings used for manufacturing.

3. Basic knowledge of hot and cold working processes.

4. Selection and knowledge of various tools applied for cold and hot working processes.

5. Exposure and understanding of machine tools required for manufacturability.

6. Analyze the job manufactured from practical relevance point of view.

Syllabus:

1. To prepare through tennon and mortise joint.

2. To prepare a funnel of GI sheet.

3. To perform filling, drilling and tapping operations.

4. To perform electroplating.

5. Preparation of green sand mould and to perform casting process.

6. To prepare a square headed bolt.

7. To carry out gear cutting by simple indexing.

8. To prepare a single V-butt joint by arc welding and study of gas welding process.

9. To perform facing, simple turning, taper turning, threading and knurling operations on a lathe machine.

10. To perform plaining and slot cutting operations on shaper and slotter machines.



1 x x x

2 x x x x

3 x

4 x

5 x x x

6 x x x x

2017-2018



Course Title Computer Programming Laboratory

Course Number : COA1910

Credits : 1.5


Pre-requisite(s) : -


Type of Course : Practical

Course Objective

To make students of all branches of B.Tech familiar with the programming concepts and to implement the algorithmic

approach of problem solving in C language to gain working knowledge of C programming.

Course Outcome

Students will be able to:

1. Understand programming concepts and C language constructs such as operators and data types, control

statements, functions etc.

2. Gain algorithm development skills

3. Implement programming problems in C Language

Syllabus

Introduction to Programming Environment, experiments to be conducted in the laboratory consist of, but not limited

to, the following:

Practice of Turbo C as the development environment

Simple introductory algorithms and programs for getting input, printing formatted output etc.

Programs introducing elementary C concepts, like variable and names

Programs using operators

Programs using control structures

Programs for repetitive tasks and iterations

Programs on arrays and strings

Programs introducing the use of function calls

Programs introducing basic concept of file handling and storage classes

Books:

1. Kemighan, Brian W., and Dennis M. Ritchie. "The C programming language."Prentice-Hall, Englewood

Cliffs, New Jersey (I978).

2. Gottfried ―Theory and Problem of Programming with C‖ Schaum‘s Outline Series, TMC (Text book)

3. E. Balagurusamy ―Programming in ANSI C‖, McGraw Hill Education India Private Limited (2016) (Text

Book)



1 x x

2 x x

3 x

2017-2018


B. Tech. (for Computer Engineering)

Course Number & Title : AMS2610, Higher Mathematics

Credits : 04


Pre-requisite(s) : AM-111, AM-112



Course Assessment Course Work (Home Assignments) (15%)



Course Objectives:

To learn mathematical tools in complex variables and functions, complexr integration and vector calculus.

Course Outcomes:

After completing the course the students are expected to be able to

1. Understand and apply the basics of complex variables, functions and contour integration to various

engineering problems.

2. understand vector differentiation and apply it in relevant problems

3. understand and apply vector integration in engineering problems

Syllabus

Unit-1 Functions of a complex variable, analytic functions, Cauchy-Riemann equations, complex integration of

functions of a complex variable, line integrals, Cauchy‘s theorem, and Cauchy‘s integral formula.

Unit-2 Taylor series, Laurent‘s series, zeros and singular points, residues and residue theorem, evaluation of real

integrals by contour integration.

Unit-3 Vector differentiation, gradient of a scalar field and its physical significance, divergence and curl of a vector

field and their physical significance, solenoidal and irrotational fields, determination of potential functions.

Unit-4 Integration of vector functions, line integrals, conservative fields, surface and volume integrals, Gauss

divergence theorem, Stokes‘ theorem, Green‘s theorem, applications.



2 M. K. Venkataraman, ″ Engineering Mathematics″ , Third Year (Part A, B), National Publishing Co. Madras.




1 x x x

2 x x x x

3 x x x

2017-2018



Course Number and Title : AMS2620, Numerical Analysis, Transforms & Probability

Credits : 04








Course Objectives:

To learn tools of Mathematics in Laplace transforms, numerical techniques and theory of probability.

Course Outcomes:

After completing the course the students are expected to be able to:

1. understand and apply Laplace transform methods for solving ordinary differential equations.

2. apply numerical methods for solving system of linear equations, non-linear equations, interpolation

methods in engineering problems.

3. evaluate derivatives , areas, and numerical solutions of differential equations.

4. understand the basic concepts of probability and apply them in engineering problems.

Syllabus:

Unit-1 Laplace transforms of important functions, shifting theorems and other important properties, inverse

Laplace transform, applications to single and system of linear differential equations.

Unit-2 Errors, solution of nonlinear equations by Newton Raphson and general iteration methods and their

convergence, solution of system of linear equations by Gauss elimination and Gauss-Seidel methods;

finite-difference operators, interpolation and extrapolation., Newton‘s divided difference & Lagranges

interpolation formulas and Newton‘s forward and backward difference interpolation formulae.

Unit-3 Numerical differentiation for tabular & non-tabular values and integration by Trapezoidal, Simpson‘s

methods, Gaussian quadrature, solution of first order initial value problems by Taylor‘s , modified

Euler‘s and Runge-Kutta methods, numerical solution of two point boundary value problems.

Unit-4 Probability: sample space, laws of probability, addition and multiplication theorems, solution of simple

problems, conditional probability, Bayes‘ theorem, dependent and independent events, .random

variables, binomial and normal distributions.


1. M. K. Jain, S.R.K. Iyenger and R.K. Jain,″ Numerical Methods for Scientific and Engineering Computations″ ,

New age International Publication (P) Ltd.

2. S. S. Sastry, ″Introductory Numerical Methods″, Prentice Hall India Ltd.

3. Erwin Kreyszig, ″Advanced Engineering Mathematics″, John Wiley & Sons, INC.



1 x x x x x

2 x x x

3 x x x x

4 x x x

2017-2018



Course Number and Title : AMS2630, Discrete Structures

Credits : 04


Pre-requisite(s) : AMS1110






Course Objectives

To learn some discrete algebraic structure such as groups, rings, fields, basics of Graph theory and combinatorics. and

also linear programming problems.

Course Outcomes

After completing this course, the students shall be able to:

1. understand algebraic structures and apply them in the field of computer engineering

2. understand the basics of Graph theory and some optimization problems such as shortest path

problem, max flow problems etc.

3. understand the basics of combinatorics and solve the recurrence relations.

4. solve optimization problems using linear programming and simplex algorithm.

Syllabus:

UNIT –1 ALGEBRAIC STRUCTURE

Relations and functions, monoids, semi groups and groups, rings and fields.

UNIT-II GRAPH THEORY

Formal definition of graphs, directed and unidirected graphs, cycles, chain, path, connectivity,

adjacency and incidence matrices, shortest path algorithm, elements of transport networks, flows in

networks.

UNIT-III COMBINATORICS Introduction to permutations and combinations, recursion. introduction to some common recurrence

relations, generating functions, solution of recurrence relations using generating functions.

UNIT-IV LINEAR PROGRAMMING

Formation of linear programming problem and its solution by graphical methods and simplex

algorithm, duality.


1. Narsingh Deo, Graph Theory with applications to engineering and computer science, Prentice-Hall of India,

New-Delhi

2. B. Kolman etal, Discrete Mathematical Structures, Pearson Education

3. Kanti Swaroop etal, Operations Research, Sultan Chand and Sons, Educational Publishers, New-Delhi



1 x x x x x

2 x x x x

3 x x x x

4 x x x

2017-2018


B. Tech.

Course Title OBJECT ORIENTED PROGRAMMING

Course Number : COC2030

Credits : 4

Course Category : DC (Departmental Core)

Pre-requisite(s) : COA1910 Contact Hours (L-T-P) : 3-1-0


Course Objective

The objective of this course is to have students learn basic concepts of object-oriented programming and its difference

from procedural programming, implementation of OO concepts and techniques and writing simple application, in both

C++ and JAVA. Practice the concepts of OOD (Object Oriented Design) with UML (Unified Modeling Language).

Course Outcome


1. Describe the principles of Object Oriented Programming (OOP).

2. Explain the model of OOP: abstraction, encapsulation, inheritance and polymorphism.

3. Apply the concepts of abstraction, encapsulation, inheritance and polymorphism in C++ and JAVA.

4. Distinguish between Procedural programming and Object Oriented Programming.

5. Apply accepted good practices related to the construction of object oriented programs.

6. Develop simple applications in C++ and JAVA.

7. Develop applications with GUI.

8. Explain association, aggregation and generalization in UML.

9. Design UML based designs (based on Use Case, class, sequence and, state diagrams).

SYLLABUS:

UNIT-I Object Oriented Concepts

Encapsulation, Data Hiding, Procedure Oriented Programming vs Object oriented Programming, Objects, Classes,

Polymorphism, Inheritance, Abstract Classes, Constructor, Destructor, Class Members, Overloading, Exception

Handling, Virtual Function

UNIT-II Object Oriented Programming in C++

Program structure, Class, Derived class, Overloading, Template, Exception handling, Scope operator, Virtual function

UNIT-III Object Oriented Programming in Java

Program Structure, Java Architecture, Statements, Classes, Inheritance, Polymorphism, Arrays, API and Packages,

GUI in Java

UNIT-IV UML

Class diagram, Representing association, Generalization, Aggregation, State diagram, Use case diagram, Scenario,

Sequence diagram, Activity Diagram etc.

Reference:

1. Robert Lafore; ―Object Oriented Programming in C++; Pearson Education

2. Rumbaugh and Blaha; ―Object Oriented Modeling and design with UML‖, Pearson Education

3. Bruce Eckel; ―Thinking in Java‖; Prentice Hall



1 x x

2 x

3 x x

4 x

5 x

6 x x x

7 x x x x

8 x x

9 x x x

2017-2018


B. Tech.

Course Title DATA STRUCTURES AND ALGORITHMS


Credits : 4


Pre-requisite(s) : COA1910



Course Objective

To introduce the concept of data structures including arrays, linked lists, stacks, queues, binary trees, heaps, binary

search trees, and graphs etc, and apply these data structures in problem solving. To introduce applications of various

data structures and its use in a manner that adds to the efficiency of an algorithm in writing effective programs.

Course Outcome

The student will be able to

1. Learn how the choice of data structures and algorithm design methods impact the performance of programs.

2. Analyze the importance and use of Abstract Data Types (ADTs)

3. Design and implement elementary Data Structures such as arrays, trees, Stacks, Queues, and Hash Tables.

4. Identify algorithms as a pseudo-code to solve some common problems.

5. Explain best, average, and worst-cases of an algorithm using Big-O notation.

Syllabus:

UNIT I : INTRODUCTION

Concept of Data Structures, Basic Terminologies related to data structures, linear and non-linear data structure.

Concept and properties of algorithms, How to develop an algorithm, Complexity, Time-Space Tradeoff, Algorithm

analysis, Rate of growth: Big Oh notation, other asymptotic notations for complexity of algorithms.

UNIT II: ARRAYS

Arrays, one-dimensional arrays: traversal, selection, searching, insertion and deletion. Sorting: Bubble sort, selection

sort, insertion sort, merge sort, quicksort, other sorting methods and their analysis. Multi-dimensional arrays,

Representation of arrays in physical memory, Application of arrays.

UNIT III: Abstract Data Types (ADTs)

Abstract Data Types, Stacks, Applications of Stacks - prefix and postfix notations, Queue, Circular Queue, Priority

Queue, Dequeue, Linked Lists, Operations on Linked Lists, Circular linked lists, doubly linked lists, concept of

dummy nodes.

UNIT IV: Trees & Graphs

Basic terminologies, Binary Tree, representation and traversal of binary tree; in-order, preorder, and post-order

traversal. Different types of binary trees: binary search tree, Heap trees and its application to sorting. Graph,

representation and its applications. Other related topics.

Books:

1. A.K.Sharma, ―Data Structure using C‖, Pearson, 2011

*2. Lipschutz, ―Data structures‖ Tata McGraw Hill.

3. Goodrich M. Tamassia R., ―Data Structures and Algorithms in Java‖, 3rd

ed. Wiley

* Text Book



1 x x x

2 x x

3 x x

4 x

5 x

2017-2018


B. Tech.

Course Title DIGITAL LOGIC AND SYSTEM DESIGN


Credits : 4


Pre-requisite(s) : AMS1110



Course Objective

Provide introduction to Fundamentals of digital systems in terms of both computer organization and logic level design.

Provide understanding of design and implementation of digital circuits, Organization of digital computers, Boolean

algebra, Analysis and Synthesis of combinational and sequential circuits.

This course includes Boolean algebra, combinational circuits, sequential circuits and Architecture and organization of

digital computer.

Course Outcome


1. Explain Boolean logic operation and minimization of a Boolean function.

2. Utilize the digital gates to implement a Boolean function.

3. Explain and classify the digital circuit and its behaviour.

4. Design of digital circuits for general functions like counter, sequence generator, parity checker, shift

register with different functioning, ALU, Decoder, Multiplex, etc

5. Visualize, explore, design, and build combinational and sequential digital logic solutions to general

problems.

6. Identify and explain the components, and their interaction, in a typical modern day processor and its

architecture.

Syllabus

UNIT I. BOOLEAN ALGEBRA AND LOGIC GATES

Introduction, Binary numbers, Base-conversions, Octal and hexadecimal numbers, complements, binary

codes, Basic Theorems and properties, Boolean functions and representation in canonical and standard

forms, SOP and POS forms, other logic operations, Digital logic gates, Function minimization:

Karnaugh map methods, Limitations of K-maps for larger variables, POS-simplification, NAND/NOR

implementation, other 2-level implementations, Don‘t-care conditions, Tabular method.

UNIT II. COMBINATIONAL SYSTEMS

Hardware aspect of arithmetic logic functions, Half-Adder, Full-Adder, Binary Adder/Subtractor,

Parallel Adder, Magnitude, Comparator, Demultiplexer, Multiplexer, Parity Checker/Generator, ROM.

UNIT III. SEQUENTIAL SYSTEMS

Definition and state representation of Flip-Flops, RS, D, JK-M/S, their working characteristics, State

Tables, Excitation Tables and triggering, Asynchronous and Synchronous Counters-Design and

Analysis, Counter Applications, Description and Operations of Shift Registers, Shift Register/Counters.

UNIT IV. COMPUTER ORGANIZATION

Introduction to Architecture and organization of digital computer, ALU, I/O-Unit, Control Unit, CPU,

Microprocessor and Microcomputer, Data and Instruction Formats.

Books:

*1. M. Morris Mano, ―Digital Logic and Computer Design‖, PHI.

*2. A.P. Malvino, ―Digital Computer Electronics‖, McGraw Hill.

3. W. I. Fletcher. ―An Engineering Approach to Digital Design‖, PHI.

4. R.J. Tocci, ―Digital Systems: Principles, and Applications‖, PHI.

5. T.C. Bartee, ―Digital Computer Fundamentals‖, McGraw Hill,

*Text Book

Table: Mapping of Program Outcomes and Course Outcomes for CO-207



1 x x

2 x x

3 x x

4 x x x

5 x x

6 x x

2017-2018


B. Tech.

Course Title COMPUTER ARCHITECTURE


Credits : 4


Pre-requisite(s) : COC2070



Course Objective

To know the theory of components of a computer and its operation, and to learn applying the knowledge for designing

a minimal computer system.

Course Outcome


1. Explain the philosophy of digital systems

2. Interpret the micro-operations

3. Explain and design arithmetic and logic unit

4. Classify various storage devices

5. Design the control and execution unit to execute a binary instruction

6. Acquire the knowledge of advanced concepts of performance measure and speeding-up of computing

Syllabus

UNIT I INTRODUCTION TO BASIC COMPUTER ARCHITECTURE

Philosophy of digital computers, Method of register, bus and memory transfer, Micro-operations:

Arithmetic, Logic and Shift, Introduction to execution of unit-register, ALU design and shift register

design, division of unsigned integers, IEEE 754 standard of floating point numbers, Floating point

arithmetic operations.

UNIT II MEMORY AND PROCESSOR ORGANIZATION

Introduction to main, cache, auxiliary and virtual memory, concept of address mapping, Instruction and

Interrupt cycles, Timing and Control, Design of accumulator logic, Central Processing Unit (CPU):

Single accumulator, General register and Stack organization, assembly language, RISC and CISC

characteristics.

UNIT III HARDWIRED & MICROPROGRAMMED CONTROL LOGIC DESIGN

Hardwired control design: Computer instruction execution, Design of computer registers, Design of

basic computer, PLA Controller. Microprogrammed control design: Basic concepts of

Microprogrammed Control Design, Microprogrammed Control design of an example computer,

Microprogram sequencer.

UNIT IV ADVANCED CONCEPTS IN COMPUTER ARCHITECTURE

CPU performance measures and Benchmarks, Introduction to pipeline and parallel processor,

Parallelism in conventional computers, classification of parallel computers, Pipelining: general

consideration and speedup, pipeline structures: arithmetic and instruction pipeline, Introduction to

different types of available computers.

Books:

1. *M. Morris Mano ―Computer System Architecture‖ Third edition, Pearson Education India, Pvt.

Ltd, reprint 2007

2. *David A. Patterson and John. L. Hennessey ―Computer Organization and Design, The

Hardware/Software Interface‖, 3rd

Edition, Morgan Kaufmann Publishers.

3. *Mohamed Rafiquzzaman and Rajan Chandra ―Modern Computer Architecture‖, Galgotia

publication Pvt. Ltd.



1 x x

2 x x x x

3 x x x

4 x x x

5 x x x x

6 x x x x

2017-2018


B. Tech.

Course Title Software Engineering


Credits : 4

Course Category : DC

Pre-requisite(s) : COA1910



Course Objectives

This course covers practices which are applied during software development. These practices help in developing large

size and complex software. With concepts and knowledge gained from this course, one can easily become part of

industrial software production.

Course Outcomes

Upon completing the course, the student will:

1. be familiar with software development process model, metrics, requirement specification, design, coding,

testing and object oriented development

2. be able to apply software engineering practices to software development

3. be able to estimate effort in software development

4. be able to do requirement analysis, design, coding and testing of software

5. be able to quantify, analyze and improve upon software development

6. be able to develop software cooperatively in a team

Syllabus

UNIT I INTRODUCTION TO SOFTWARE ENGINEERING AND SOFTWARE PROCESS

Program Vs Software; Characteristics of Software; Evolution of Software Engineering, Software categories; Software

Development life cycle; Software Quality; Software Development Processes; Waterfall model, Prototyping

Incremental Methods, Evolutionary Models - Spiral Model, Component Based Development; Fourth Generation

Techniques, Unified Process

UNIT-II SOFTWARE PROJECT PLANNING AND SOFTWARE METRICS

Software measurement and metrics, Size oriented metrics, Function oriented metric; Function Point and Feature Point;

Planning a software project; Software Requirement specification; Team Structure, Software Cost Estimation and

Evaluation techniques.

UNIT-III SOFTWARE DESIGN

Software Design Objectives and Principles, Module level concepts Coupling and Cohesion, Design notation and

specification; Architectural Design, Component Level Design, Interface Design; Structured Design Methodology,

Design Heuristics, Verification, Concepts of Object Oriented Design.

UNIT-IV CODING, TESTING AND OTHER TOPICS IN SOFTWARE ENGINEERING

Programming practice, Programming Style, Code verification; Testing fundamentals, Test cases and test criteria,

Black box testing, White box testing; Cyclomatic complexity, Structural testing. Software Risk Management;

Configuration Management; Software Re-Engineering.

BOOKS:

1. Roger S. Pressman, ―Software Engineering: A Practitioner's Approach‖, 7th International edition, Mc Graw

Hill, 2009

2. Pankaj Jalote, ―An Integrated Approach to Software Engineering‖, Narosa publishing House, New Delhi, 1995.

3. Fairley, R.E. ―Software Engineering Concepts‖, McGraw Hill, 1992.



1 x x x x x

2 x x x x x

3 x x x

4 x x x x x

5 x x x x

6 x x

2017-2018


B. Tech.

Course Title DESIGN AND ANALYSIS OF ALGORITHMS


Credits : 4





Course Objective

After taking this course the students should be able to:

1. Design algorithms for the problems that are encountered in the area of Computer Engineering.

2. Analyze the time and space complexity of algorithms.

3. Use different paradigms for designing algorithms depending on the problem to be solved.

4. Design an algorithm that is efficient and decide which algorithm may result in a better solution for a given

problem.

Course Outcome

Students who completed the course have demonstrated the ability to:

1. Argue about the correctness of algorithms using inductive proofs and invariants.

2. Analyze running times of algorithms using asymptotic analysis.

3. Use different paradigms such as divide-and-conquer, greedy, dynamic programming, etc.

4. Decide whether a solution to the problem exists in a reasonable amount of time. If no such solution exists, one

can consider algorithms that try to solve the problem approximately.

5. Develop efficient algorithms for the problems in the area of Computer Engineering and other engineering

disciplines.

Syllabus

UNIT I INTRODUCTION

Review of algorithmic analysis, Asymptotic Notations; Solving Recurrences: Substitution methods,

Recursion-Tree method and Master method.

UNIT II ALGORITHM DESIGN TECHNIQUES

Divide and Conquer Approach, Dynamic Programming, Greedy Algorithms, Greedy versus

Dynamic Programming.

UNIT III GRAPH ALGORITHMS

Breadth First Search, Depth First Search; Minimum Spanning Trees, Shortest Path Algorithms,

Dijkstra‘s Algorithm, The Bellman-Ford Algorithm, The Floyd-Warshall‘s Algorithm; Maximum

Flow; Flow Networks, The Ford-Fulkerson Algorithm.

UNIT IV NP COMPLETENESS

P and NP classes, Unsolvable problems, NP Completeness and Reducibility, Circuit Satisfiability,

Examples and Proofs of NP-Complete problem.

Books:

*1) Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein, ―Introduction to Algorithms‖,

Third Edition, September 2009, MIT Press USA.

2) Alfred V. Aho, John E. Hopcroft, Jeffery D. Ullman, "The Design and Analysis of Computer Algorithms",

Addison-Wesley, 2001.

3) Ellis Horowitz, Sartaj Sahni, "Fundamentals of Computer Algorithms", Galgotia Publications, 2001.

*Text Book



1 x x

2 x

3 x x x

4 x

5 x x x

2017-2018

DEPARTMENT OF ELECTRONICS ENGINEERING


Course Title ELECTRONIC DEVICES AND CIRCUITS

Course number ELA2110

Credit Value 4

Course Category ESA

Pre-requisite ELA1110



Course Objectives The objective of this course is to help the student to understand the fundamental devices

of electronics engineering such as diode, transistor, amplifier and oscillators etc. Further

this course discusses the characteristics of amplifiers at low frequencies and high

frequencies.

Course

Outcomes


1. Understand the behaviour of fundamental electronic devices.

2. Understand different applications of electronic devices.

3. Understand and analyse different types of transistor based circuits at low and

high frequencies.

Syllabus

Unit 1. Devices: Varactor diode, Schottky barrier diode, Tunnel diode, review of BJT

characteristics and parameters, minority carrier profile in BJT, base-width

modulation, BJT as a switch, review of MOSFEET and its operation,

MOSFET as a resistor and as a switch, channel length modulation.

Unit 2. Biasing and Stabilization: Operating point, Bias stability of BJT and MOSFETs, Biasing circuits of BJT

and MOSFETs, Stabilization against various parameters, Bias compensation.

Unit 3. Small signal and low frequency amplifiers:

Low frequency models for BJT‘s and MOSFETs, Small signal-low frequency

analysis of BJT and MOSFET amplifiers in various configurations and their

compensation.

Unit 4. Frequency response of amplifiers: Frequency response, Effects of coupling

and bypass capacitors, Introduction to high frequency response using hybrid

models of BJT‘s and MOSFETs, high frequency response of common source

amplifier.

Unit 5. Feedback amplifiers and Oscillators:

Feedback concept, Negative feedback and its effect on various amplifier

characteristics, Positive feedbacks, Principle of oscillator circuits, Popular BJT

and FET oscillators, Colpitt and Hartleys oscillator, Crystal oscillators,

Negative resistance oscillators.

Books*/References

1. *A.S. Sedra and K.C. Smith, Microelectronic Circuits, Oxford University

Press, Vth

Edition, 2004.

2. J. Millman and C.C. Halkias, Integrated Electronics, McGraw Hill, 2005

3. R. Boylested and L. Nashelsky, Electronic Devices and Circuits, PHI, 1996.

*Text Book



1 x x x x

2 x x x x

3 x x x

2017-2018



Course Number &Title : ELA2410 Signals and Systems

Credits : 4


Pre-requisite(s) :



Course Assessment : Home Assignments (including MATLAB based problems and

Quizzes) (15%)



Course Objectives

To understand basics of signals and systems, classifications of signals and systems; time and frequency domain

analysis of signals and systems using various transforms.

Course Outcomes


1. Independently evaluate parameters of signals such as energy, power, period etc.

2. Identify various properties of signals and systems and classify them on the basis of these properties.

3. Compute convolution of continuous and discrete-time signals.

4. Evaluate Fourier series and (Forward and Inverse) Fourier transforms of signals and therefore plot frequency

(magnitude and phase) response of LTI systems.

5. Compute Laplace and Z-transform of continuous and discrete-time signals respectively and identify their region

of convergences.

6. Use Nyquist sampling theorem to choose adequate sampling rate.

7. Evaluate transfer function of complex systems using block diagram reduction technique and Mason‘s gain

formula.

8. Understand the concept of random signals and random process and Evaluate statistical properties, correlation

functions and power spectral densities of random signals.

Syllabus

Unit 1: Introduction to Signals and Systems

Definition and examples of signals and Systems; Mathematical modeling; Classification of Signals and Systems;

Singularity functions; Representation of signals using basis functions; Exponential Fourier series and its application in

signal theory; Concept of Frequency spectra; Convolution integral and its applications; Concept of system impulse

response and its properties

Unit 2: Transform Techniques

Frequency domain representation of continuous time signals; Fourier transform and its properties; Hilbert Transform;

Bandpass signals and their mathematical description; Laplace transform and its relationship with Fourier transform;

Overview of sampling; Z-transform and its properties; Inverse z-transform; Discrete-time Fourier transform; Discrete

Fourier Transform

Unit 3: Analysis using Transforms System representation using transfer function; Feedback and stability of system; Block diagram reduction techniques;

Signal flow graph and Mason‘s gain formula; Time and frequency response of I and II order systems; Discrete-time

system representations; Analysis of discrete-time systems

Unit 4: Random Signals Review of random variables; Probability distribution and probability density functions; Classification of random

variables (according to their distribution); Statistical Averages; Functions of random variables; Introduction to random

process; Stationarity, mean, correlation and covariance function; Ergodicity and central limit theorem; Power spectral

density; Gaussian random process and its properties; Analysis of LTI systems with random inputs; Noise and its

representation

Text Book(s)

4. A. V. Oppenheim and A. S. Willisky, ―Signals and Systems‖, 2nd

Edition, Prentice Hall India, 2010.

5. B. P. Lathi, ―Linear systems and Signals‖, Oxford University Press, India, 2010.

Reference Book(s)

1. B. P. Lathi, ―Signal Processing and Linear Systems‖, Oxford Univ. Press, 2000.

2. M. Mandal and Amir Asif, ―Continuous and Discrete Time Signals and Systems‖, Cambridge Univ. Press, 2007.

3. S. Haykin, ―Communication Systems‖, 4th

Edition, John Wiley, 2001.

4. G. R. Cooper and C D McGillen, ―Probabilistic methods of signals and system analysis‖, Oxford Univ. Press,

1998.



1 x x

2 x x x

3 x x x x

4 x x x

5 x x x

6 x x x

7 x x x x

8 x x x

2017-2018

DEPARTMENT OF ENGLISH


Course Number and Title : EZH2910 Communication Skills Laboratory

Credits : 2

Course Category : Humanities (HM)

Pre-requisite(s) :



Course Assessment : Course works, viva voce (60%)


Course Objectives

To develop communication and presentation skills using modern tools.

Course Outcomes

Upon successful completion of this course, it is expected that students will be able to:

1. Analyze and apply the basic concepts of communication effectively.

2. Develop written and spoken communication skills.

3. Able to present their ideas rationally and logically.

4. Use modern communication tools for effective communication and presentation.

5. Describe the importance of constructive feedback for consistent self-development.

6. Communicate one‗s point of view with clarity duly attributing courtesy and formality to their conveying.

7. Engage in debates, group discussions and personal interviews.

8. Deliver oral presentation, and seminars confidently.

Syllabus

Unit I. Writing Official Letters: Basic principles, format and type: employment letters, placing orders enquiry

and response letters, letters of complaint and apology, persuasive letters, curriculum vitae.

Unit II. Business Working:

(a) Glossary of business terms

(b) Drafting business messages: memos, telexes, e-mails, press notice references, tenders and bids,

employment advertisements.

Unit III. Academic Writing:

(a) Note-making and note-taking, abstracting, use of graphics (tables and free diagrams) preparing

bibliography.

(b) Writing academic papers and reports

Unit IV. Oral Communication in Business Setup: Attending interviews, telephonic conversation, reception of

visitors, holding meetings.

Unit V. Oral Communication in Academic Setup: Participating in group discussions, Presenting prepared papers

and reports, Seminar Strategies.

Relationship of COs with POs



1 x

2 x

3 x

4 x

5 x x

6 x x

7 x x

8 x x x

2017-2018


B. Tech.

Course Title DATA STRUCTURES AND OOP LABORATORY


Credits : 2


Pre-requisite(s) :



Course Objective

The objective of this course is to teach the students about the core C programming concepts.

1. Familiarize the students with programming environments- TurboC, DosBox, Linux GCC etc.

2. Explain the main concepts of C language- Data Types, Operators, Functions, I/O, File handling, Graphics etc.

3. Explain the syntax and semantics of major C Construct

4. Familiarize the students with main in-built C library functions

5. Develop the problem-solving ability using C in students

Course Outcome

Upon successful completion of this course, the student will be able to:

1. Design, implement and debug programs in C

2. Understand how to write and use functions, how the stack is used to implement function calls, and parameter

passing options

3. Understand and use the common data structures typically found in C programs — namely arrays, strings,

structures, union etc

4. Use all the main C constructs in their programs

5. Use pointers, File concepts and C graphic concepts in their programs

Syllabus:

List of Experiments conducted in the Lab

1. Given a word and a sentence, find the location(s) (index of sentence where the word starts) of word in the

sentence.

2. Using array of structure pointers, prepare a set of questions. Each question has a question ID, question text,

four possible answers and one correct answer. Implement following operations:

I. Store a new question

II. Display a stored question by Question ID

3. Simulate the movement of a ball if it is set free on an inclined plane (see figure).

4. Find the number of days between two give dates. Assume that every month except February has 30 days and

February always has 29 days.

5. Write a program to implement a dictionary which stores words in alphabetical order. Program takes input a

word, if that word exists in the dictionary show the message ‗duplicate entry‘ otherwise save that word at its

correct position.

6. Construct a telephone diary using structures. The diary contain name of person, phone number (s), Nickname,

group, email address, postal address. A person can have more than one phone numbers. Perform the

following operations on the telephone diary:

I. Store a new person detail

II. List the person details belonging to a given group

III. List all the phone numbers of a given person name

7. Simulate the functioning of an analog clock.

8. There are 16 players in a knockout tennis tournament. Players are numbered 1 though 16. In the first stage,

each odd number player n plays with player number n+1. In the later stages, winner of a match plays with the

winner of the next match. Simulate the tournament. Use random number generator to identify the winner in a

match.

9. Write a program to merge two arrays and restricting common elements to occur only once.

10. Write a C function that compare and concatenate two user input strings, using pointers. It will return 0, if

strings are same; -1, if string1 is smaller than string2 otherwise +1.



1 x x

2 x x

3 x x

4 x x

5 x x x

2017-2018


B. Tech.

Course Title DIGITAL DESIGN AND SIMULATION LAB


Credits : 2





Course Objective


Experiment with the concepts of data structures learned in theory.

Implement data structures in a programming language.

Implement different types of sorting and searching algorithms.

Use appropriate data structures to solve a problem.

Course Outcome


1. Apply different data structures in real-life problems.

2. Use appropriates sorting and searching algorithms in programming problems.

3. Enhance their problem solving approaches.

4. Gain insight and improvement of programming skills.

Syllabus

Students are expected to implement various data structures and algorithms. The outlines of the course are as follows.

Arrays, Linked Lists, Stacks, Queues, Heaps,

Binary Tree, Tree Traversals, Binary Search Trees, Graphs,

Searching: Linear Search, Binary Search,

Sorting: Bubble Sort, Quick Sort, Heap Sort, Merge Sort, Radix Sort



1 x x

2 x x

3 x

4 x

2017-2018


B. Tech.

Course Title DIGITAL ELECTRONICS


Credits : 4


Pre-requisite(s) : ELA1110, ELA2110



Course Objective

This course is designed to teach students the theory of digital electronics, the logic and the implementation of modules

required for digital systems. The course will also discuss the industry specifications for the digital integrated circuits

and using it for building digital systems. It includes the description and the structure of various fundamental

components of digital systems like logic gates, memory cells, interfacing units etc.

Course Outcome

Upon successful completion of this course, students should be able to:

1. Understand the functionality of logic gates and simplifying digital circuits.

2. Explain the structure and fundamental components of digital systems.

3. Demonstrate a clear understanding of important concepts in TTL, CMOS technology.

4. Design an IC of any given arbitrary logic function at the transistor-level.

5. Design and explain of different types of memory: RAM, ROM, PLA, PAL etc.

6. Describe the fundamental architecture of analog-digital interfacing units such as data converters, data

acquisition system etc.

Syllabus:

UNIT I: IC LOGIC FAMILIES

Digital IC Terminology and Logic Circuit Families; MOS and CMOS Logic Circuits and Characteristics; CMOS

Inverter, NAND, NOR, X-OR, X-NOR Gates; CMOS Complex Gates; CMOS Transmission Gate; CMOS Clocked S-

R and D-Flip-Flops; Pseudo NMOS Logic Circuits; Pseudo NMOS Inverter and other Gates; Pass Transistor Logic

(PTL) and Complementary Pass Transistor Logic (CPTL); Realization of Different Gates in PTL and CPTL; Bi-

CMOS Digital Circuits; Bi-CMOS Inverter and Logic Gates; Comparison of various Logic Families.

UNIT II: MEMORY DEVICES

Memory Terminology, General Memory Operation; CPU Memory Connections; Semiconductors Memories; Types

and Architecture; Memory Chip Organization; ROM -- Architecture, Addressing and Timing; MOS ROM; PROM,

EPROM EEPROM (EAPROM), CD-ROM; ROM Applications; Programmable Logic Device Arrays (PAL and PLA);

ROM/PLD Based Combinational Design; Semiconductor RAM -- RAM Organization; Static RAM, Dynamic RAM;

DRAM Structure and Operation; Read/Write Cycles; DRAM Refreshing; Expanding Word Size and Capacity;

Sequential Memories.

UNIT III: DYNAMIC LOGIC CIRCUIT AND MEMORY CELLS

Dynamic Logic Circuits; Basic Structure of Dynamic-MOS Logic Circuits; Cascading Dynamic Logic Gates;

Dynamic CMOS Ratio-Less Shift Register Stage; Domino CMOS Logic; CMOS SRAM Memory Cell; One Transistor

Dynamic RAM Cell; Differential Voltage Sense Amplifier and Address Decoders for SRAM and DRAM; Charge

Coupled Device (CCD); Basic Operation of 3-Phase and 2-Phase CCD, CCD Memory Organization.

UNITIV: INTERFACING WITH THE ANALOG WORLD

Principal of operation of Digital-to-Analog Converters (DACs); Basic Circuits Using Binary Weighted Resistors and

R/2R Ladder; DAC specification; DAC Applications; Analog to Digital converters (ADCs); Digital Ramp ADC;

Up/Down Digital Ramp ADC, (Tracking ADC), Successive Approximation ADC; Flash ADC, Dual Slope Integrated

ADC, Data Acquisition, Sample and Hold Circuits: Multiplexed ADC.

Books:

*1. Ronald. J. Tocci, And Neal. S. Widmer, ―Digital Systems – Principles And Applications‖, Eighth Edition,

Pearson Education, New Delhi, 2001.

2. A.S. Sedra and K. C. Smith, ―Microelectronic Circuits‖, Oxford University Press, Vth

Edition, 2004.

3. J. Millman and Grabel, ―Microelectronics‖, McGraw Hill, 1987.



1 x x x

2 x x x x

3 x

4 x

5 x x x

6 x x

2017-2018


B. Tech.

Course Title MICROPROCESSOR THEORY AND APPLICATION


Credits : 4


Pre-requisite(s) : COC2070, COC2080



Course Objective

To have a knowledge of some actually implemented computing systems, and to know how theory applies on these

practically.

Course Outcome

Students will perform a case study of Intel's 8085 microprocessor architecture and will be able to:

1. interpret the literature supplied with microprocessors for designing MP-based systems

2. write and analyze machine level programs

3. interface memory and I/O devices with the help of interfacing devices

4. express the features of, and extend the programming skills to, microcontrollers

5. explain extended microprocessors

Syllabus

UNIT 1 INTRODUCTION & ORGANIZATION Review, Organization and architecture of 8085 Microprocessor, Instruction Set of and programming

techniques, Machine Language vs. Assembly Language, Basic Concepts of Timing and Control

Unit, Timing Diagrams of 8085.

UNIT II INTERFACING MEMORY AND I/O DEVICES, AND DATA TRANSFER SCHEMES Minimal System, Necessity for interfacing, Address Space Partitioning- Memory mapped I/O & I/O

mapped I/O, Advantages & Disadvantages, Types of interfacing devices- I/O ports, 8255 PPI, Brief

discussion of 8251 USART & 8253 Timer, Coprocessors. Hardware schemes for data transfer-

Programmed data transfer, Interrupt data transfer, Various Interrupt schemes, 8259 PIC, DMA data

transfer scheme DMA Controller.

UNIT III MICROPROCESSOR BASED APPLICATIONS Some popular 8085 based applications, Introduction to Microcontroller, Brief discussion of some

popular microcontrollers, Study of some important 8-bit microprocessors and their comparison.

UNIT IV ARCHITECTURE OF ADVANCED MICROPROCESSORS Introduction to 16-bit microprocessors-8086/88, 80186, 80286, Introduction to 32-bit

microprocessors-80386, 80486, Pentium etc., RISC philosophy.

BOOKS:

*1. R.L Gaonkar- ―Microprocessor Architecture, Programming and Applications‖, Wiley Eastern Ltd.

*2. K.L Short- ―Microprocessor and Programmed Logic‖- PHI Ltd.

3. A.P Mathur- ―Introduction to Microprocessors‖,- Tata McGraw Hill.

4. B.Ram- ―Fundamentals of Microprocessors and Microcomputers‖,- Dhanpat Rai and Sons.

5. Barry B. Brey- ―The Intel Microprocessors, Architecture Programming and Interfacing‖,- PHI Ltd.

* Text Book



1 x x x x x

2 x x x x x x x

3 x x x x x x x x

4 x x x x x x x x

5 x x x x x x x

2017-2018


B. Tech.

Course Title OPERATING SYSTEMS


Credits : 4



Contact Hours (L-T-P) : 4 (3-1-0)


Course Objective

Consider and address the issues in the design of modern operating systems. The course explains the main components

of modern operating system and their organization schemes. It discusses various issues and problems in the design and

implementation of main components-process management, Main Memory Management, File System management,

Secondary Storage Management; and methods, algorithms to solve them efficiently. Students will learn modern OS

concepts through examples of Linux and Windows XP Operating Systems.

Course Outcome


1. Grasp a fundamental understanding of goals, components and evolution of operating systems

2. Explain the concepts and creation of processes and threads

3. Learn the scheduling policies of modern operating systems

4. Understand critical section problem and various synchronization schemes

5. Understand Paging, segmentation and virtual memory concepts in modern OSs

6. Understand the concepts of data input/output, storage and file management

7. Understand the main design concepts of Linux and Windows XP OSs

Syllabus:

UNIT I INTRODUCTION

Evolution of Operating Systems- Simple Batch Systems, Multiprogramming system, Time-sharing systems, Parallel &

Distributed systems, Real Time system; Operating System Structure: System components, Services, Interface to user

& programs, concept of virtual machines, System Structure.

UNIT II PROCESS MANAGEMENT

Process states, control block, operations on process, Cooperating process, Concepts of Threading, IPC, Process

Scheduling- Basic concept, Type of schedulers, Scheduling criteria, scheduling algorithm, Multiple processor

scheduling, Real time scheduling; Process Synchronization: Critical section problem, synchronization hardware,

Semaphores, classical problem of synchronization, Monitors.

UNIT III DEADLOCK AND MEMORY MANAGEMENT

Deadlock- Characterization, Methods of handling: Deadlock prevention, Deadlock avoidance, Deadlock detection &

Recovery; Memory Management- Contiguous allocation, Swapping, Non Contiguous allocation: Paging,

Segmentation, Virtual Memory- Basic Concepts, page allocation & replacement policies, Thrashing.

UNIT IV STORAGE MANAGEMENT & CASE STUDIES

File System- Concept, Access Methods, Directory, Protection, Implementation of File systems; Storage Structure-

Overview, Disk Scheduling, Disk Management, Swap Space Management, Case Studies- Linux, Windows XP.

Books:

*1. Peterson: Silberschatz, Galvin ―Operating System Concepts‖, Addison Wasely, Vth Addition.

2. William Stallings, ―Operating Systems‖

3. Milenkovic, Milan: Operating system concepts and Design, McGraw Hill.

*Text Book



1 x x x x

2 x x x x x

3 x x x x x

4 x x x x x

5 x x x

6 x x x x x

7 x x

2017-2018


B. Tech.

Course Title THEORY OF COMPUTATION


Credits : 4


Pre-requisite(s) : AMS2630, COC2070



Course Objective

To build a strong theoretical background for computer science, and to know practical implications of the theory

Course Outcome


1. Explain and classify mathematical models for representing finite state systems

2. Explain and anlayze state diagrams for finite automata

3. Design various types of automata and write regular expressions for regular languages, and interconvert

automata and regular expressions

4. Explain, analyze, and design context free grammars for context free languages

5. Design and analyze Turing machines

6. Interpret and explain the limits of computing

Syllabus

UNIT I INTRODUCTION TO FINITE AUTOMATA & REGULAR LANGUAGES Strings, Alphabets and Languages, Graphs & Trees, Sequential machine, State tables & diagram,

Mealy & Moore machines, State and Machine equivalence. Deterministic and Non-deterministic

Finite Automata, Regular Expressions, Regular grammar, Minimization of DFA, Pumping Lemma

for Regular sets, Properties of Regular Languages.

UNIT II CONTEXT FREE GRAMMARS & LANGUAGES Context free Grammar, Chomsky Normal form and Greibach Normal form, Pushdown Automata,

Context Free languages, Chomsky Classification of languages, Pumping Lemma for context free

languages, properties of context free languages.

UNIT III TURING MACHINES Turing Machines, Computing with Turing Machines, Nondeterministic Turing Machines, Church's

Thesis, Universal Turing Machines.

UNIT IV UNCOMPUTABILITY & COMPUTATIONAL COMPLEXITY Halting Problems, Unsolvable Problems about Turing Machines, Time bound Turing Machines, The

Class P and NP Languages, NP Completeness, Some NP Complete Problems.

Books:

* 1. J.E. Hopcroft, Motwani & J.D. Ullmann, "Introduction to Automata Theory, Languages and Computation",

Narosa Publications

2. H.R. Lewis & C.H. Papadimitrou, "Elements of the Theory of Computation", PHI

3. John C. Martin, "Introduction to Languages and the Theory of Computation", McGraw-Hill International

4. Michael Sipser , "Introduction to the Theory of Computation ",Thomson Learning, PWS publishing company

5. D.A. Cohen , "Introduction to Computer Theory", John Wiley

6. Zvi Kohavi, "Switching and Finite Automata Theory" , Tata McGraw-Hill

(*Text Book)



1 x x x x x x

2 x x x x x x

3 x x x x x x x

4 x x x x x x x

5 x x x x x x

6 x x x x x x

2017-2018


B. Tech.

Course Title DATA BASE MANAGEMENT SYSTEM


Credits : 4





Course Objective

Though we may not recognize them in our everyday activities, databases are everywhere. They are hidden behind

your online banking profile, airline reservation systems, medical records, and even employment records. This course

will provide students with a general overview of databases, introducing you to database history, modern database

systems, the different models used to design a database, and Structured Query Language (SQL), which is the standard

language, used to access and manipulates databases. Many of the principles of database systems carry to other areas

in computer science, especially operating systems. Databases are often thought of as one of the core computer science

topics, since many other areas in the discipline have been derived from this area.

Course Outcome


1. Compare and contrast the database approach and the file system approach.

2. Explain what a database management system is as well as the various components.

3. Identify the various people involved in database management systems.

4. Explain the various database models: entity-relationship and relational model.

5. Explain the three-schema database architecture.

6. Describe what tables, indexes, and views are as well as discuss the differences among them.

7. Explain the process of normalization.

8. Convert an entity-relationship diagram to a set of normalized relations.

9. Identify how relational algebra is used to construct queries.

10. Describe and use of data definition commands and data manipulation commands in SQL.

Syllabus

UNIT I INTRODUCTION TO DATA BASE CONCEPTS

Data Base Systems and their needs, Components of DBS, DBS architecture, Data Base Administrator and his

role, DBMS and its Components, Data Models – Classification, Physical Model- Storage structure, Indexing

Techniques; Conceptual Modeling- E/R Model.

UNIT II RELATIONAL MODEL

Relational Model – Definitions, Relational algebra and calculus, Integrity; SQL, Database Programming-

Embedded SQL, Dynamic SQL, PL/SQL.

UNIT III NORMALIZATION, RECOVERY & CONCURRENCY

Concept of Normalization- Functional Dependencies (FD), First, Second and Third normal forms, BCNF,

Fourth & Fifth normal forms; Recovery- Transaction, Commit and Rollback, Sync. Points, Systems and Media

recovery; Concurrency- problems, Locking, Serializability, Deadlock.

UNIT IV FURTHER TOPICS IN DATABASES

Security- General considerations, Security in SQL, Views, Grant and Revoke mechanism; Query optimization,

Relational Database System Design, Data Mining, Data Warehousing, Parallel & Distributed Data Bases.

Books:

1. Date, C. J. : "Introd. To Data Base Systems", Addison Wesley 6th ed.

2. Elmasri & Navathe ―Fundamentals of Database Systems‖ 5th Edition

3. Abraham Silberchatz, "Data Base System Concepts", McGraw Hill Int.

4. Ullman, "Principles of Database Systems". Galgotia Pub.

5. Ivan Bayross. "Oracle Developer 2000", B. P. B. Publication

* Text Book



1 x x x

2 x x

3 x x x

4 x x x

5 x x

6 x x

7 x x

8 x x

9 x x x

10 x x

2017-2018


B. Tech.

Course Title Computer Networks


Credits : 4


Pre-requisite(s) : COC2080, ELA3400



Course Objectives

Data communications, network architectures, communication protocols, data link control, medium access control;

introduction to local area networks metropolitan area networks and wide area networks; introduction to Internet and

TCP/IP.

Course Outcomes


1. be familiar with the basics of data communication

2. be familiar with various types of computer networks

3. have experience in designing communication protocols

4. be exposed to the TCP/IP protocol suite

Syllabus

Unit-I Introduction

Introduction to Computer Networks, , ARPANET, Protocol Layers and Their Service Models, OSI Model,

TCP/IP Model, LAN, WAN, MAN, PAN, Network Topologies

Unit-II Physical Layer, Data Link Layer

Circuit Switching and Packet Switching, Multiplexing, Transmission Media, Connectors, Virtual Circuit and

Datagram Networks, Error Detection and Correction Techniques, Go-Back-N ARQ, Selective Repeat ARQ,

HDLC, PPP, Multiple Access Protocols, CSMA/CD, CSMA/CA, MAC Addresses, Ethernet, Wireless LAN,

Hubs and Switches, Routers

Unit-III Network Layer, Transport Layer

IPv4 Addressing, CIDR, IPv6, Internet Protocol, ARP, RARP, DHCP, Routing Algorithms: IGP, EGP, Link-

State Routing, Distance Vector Routing, Path Vector Routing, RIP, OSPF, BGP. Connectionless and

Connection-Oriented Transport, UDP and TCP, Congestion Control, QoS

Unit-IV Application Layer, Emerging Technologies

DNS, DHCP, DDNS, Telnet, www & HTTP, FTP, email, SMTP, SNMP, Audio & Video Streaming, VoIP,

Wireless and Mobile Networks, GSM, CDMA, Cellular Internet Access and Mobility Management, Internet

Phone, etc.

Books

1. Behrouz Forouzan, Data Communications and Networking, 5th

edition, McGraw Hill, 2012

2. J.F. Kurose, K.W. Ross, Computer Networking: A Top-Down Approach Featuring the Internet, 5th

Edition,

Pearson, 2012

3. A.S. Tanenbaum, Computer Networks, 5th

Edition, Pearson, 2012.



1 x x x x

2 x x x x x

3 x x x x x x

4 x x x x x x x

2017-2018


B. Tech.

Course Title Computer Graphics


Credits : 4


Pre-requisite(s) : AMS1110, AMS1120



Course Objectives

This objective of this course is to introduce the fundamentals of computer graphics and its underlying principles. The

course aims to explain a number of algorithms that are employed to create the most basic objects in order to render a

graphical scene.

Course Outcomes:

At the end of this course, the student can be expected to:

1. Define what is computer graphics, plotting techniques, geometric and viewing transformations and

projections, object and surface rendering.

2. Be aware of the evolution of comptuer graphics technology over the past decades

3. Understand various graphics packages and standards

4. Explain the alogorithms that form the foundation of computer graphics

5. Analyse various point and line drawing algorithms

6. Classify transformation techniques

7. Interpret parallel and oblique projections and their applications

8. Differentiate between object representation techniques

9. Design an illumination scene based on ambient, diffused and specular lighting

Syllabus

UNIT I INTRODUCTION TO COMPUTER GRAPHICS & GRAPHICS HARDWARE

A Survey of Computer Graphics, Video Display Devices – raster scan and random scan displays, Display

processing units, graphics input devices, Graphics Software packages and standards.

UNIT II POINT PLOTTING TECHNIQUES

Coordinate systems, Line drawing algorithms: DDA, Bresenham‘s line drawing Algorithm, Mid Point Circle

Algorithm, Maintaining geometric properties of displayed objects, Fill area primitives, polygon fill areas,

output primitives in OpenGL, point, line and character attributes, colour models, antialiasing

UNIT III GEOMETIRC & VIEWING TRANSFORMATIONS

Basic 2-D Geometric Transformation: Translation, Rotation and Scaling, Matrix representation of

transformation in homogenous co-ordinates, Composite transformations, Reflection, Shear, Geometric

transformations in 3-D space. 2-D viewing, Clipping window; Normalization and viewport transformation,

Clipping algorithms: Cohen-Sutherland line clipping algorithm etc; Sutherland-Hodgman Polygon clipping

algorithm, Weiler and Atherton‘s algorithm etc., 3-D viewing Concepts: Projection Transformations,

Orthogonal, Oblique parallel and Perspective projections.

UNIT IV OBJECT REPRESENTATION AND SURFACE RENDERING

Polyhedra, Curved surfaces, spline representations, Cubic spline interpolation methods, Bezier and B-Spline

Curves, Visible surface detection algorithms: depth buffer, A- Buffer Scan-Line, depth sorting, Ray casting

methods etc. Basic illumination models, Diffuse Reflection, Specular Reflection, Gouraud and Phong

Surface Rendering, Ray Tracing Methods, Interactive Picture construction techniques: dragging, rubber

banding etc.

Books:

1. Hearn & Baker, ―Computer Graphics with OpenGL‖ 3rd

Ed., Pearson education *

2. Foley, Dam, Feiner and Hughes ―Computer Graphics: Principle and Practice‖, 2nd

Ed., Pearson

Education

3. Edward Angel, ―Interactive Computer Graphics: A Top-Down Approach Using OpenGL, 5/E,

Addison-Wesley.

4. Neuman & Sproull, ―Principle of Interactive Computer Graphics‖, McGraw Hill Int.

*Text Book


a b c d e f g h I j k

1 x x x

2 x x x

3 x x

4 x x x

5 x x

6 x x x

7 x x x

8 x x x

9 x x x x

2017-2018



Course Number and Title : ELA3400 Communication Engineering

Credits : 4


Pre-requisite(s) : ELA2410



Course Assessment : Home Work (assignments and Quizzes) (15%)



Course Objectives

To understand the principles of communication engineering and apply them in practical communication systems;

Course Outcomes


1. Understand the concept and need of modulation.

2. Use modulation as a tool to facilitate transmission of signals.

3. Convert analog signals into digital signals through the process of sampling and quantization.

4. Understand the effect of noise on the performance of communication systems

5. Understand the design challenges of the cotemporary communication systems.

Syllabus

Unit 1

Overview of Communication System; Channels and Their Characteristics; Modulation and its Benefits; Amplitude

Modulations: AM, DSBSC, SSB, and VSB modulation; Frequency and Phase Modulation; Frequency Division

Multiplexing (FDM), Radio Receiver Principle.

Unit 2

Introduction to Pulse Modulation; Digital Pulse Modulations: Pulse Code Modulation (PCM), Differential PCM, and

Delta Modulation (DM); Time Division Multiplexing (TDM); Overview of Baseband Communication.

Unit 3 Overview of Digital Modulation; Modulation Techniques: Amplitude Shift Keying (ASK), Phase Shift Keying (PSK),

Frequency Shift Keying, Quaternary PSK (QPSK); Quadrature Amplitude Modulation (QAM); Comparison of

Different Modulation Techniques.

Unit 4 Source Coding and Data Compression; Channel Capacity; Error Detection and Correction; Cyclic Redundancy Check

(CRC) Codes; Overview of Spread Spectrum Communication and Code Division Multiple Access (CDMA);

Introduction to Mobile Communication.

References:

1. Simon Haykin, Communication Systems, 4th

Edition, John Wily & Sons Asia Pte. Ltd., 2001.

2. B. P. Lathi and Z. Ding, Modern Digital and Analog Communication Systems, OUP, India, 4th

Edition, 2010.

3. R. Blake, Electronic Communication System. Thomson Asia Pte. Ltd., 2002.



1 x x x

2 x x x x x

3 x x x x x

4 x x x x x

5 x x x

2017-2018



Course Title : Economics and Management

Course Number : MEH3110

Credits : 4

Course Category : HM






Course Objectives:

1. Prepare engineering students to analyze cost/revenue data and carry out economic analysis for decision

making and to justify or reject alternatives/projects on an economic basis.

2. To familiarize the student with the basic concepts of management issues related to the management of

contemporary organizations.

Course Outcomes:

At the end of this course, the student will be able to

1. Make technically and financially sound decisions by comparing and analysing alternative projects.

2. Optimise the resources available in a given situation.

3. Develop a working knowledge of money management.

4. Learn and apply techniques, skills and modern engineering tools necessary for engineering management

practice in contemporary organizations.

5. Utilise and manage resources using different operation strategies with a view to stay ahead in offering

competitive products/services

6. Understand and exercise social responsibility and ethics in the practical context.

Syllabus:

Unit 1:

Introduction to Engineering economics; Time value of money; Present worth, future worth and annual worth

comparisons

Unit 2:

General replacement studies; Benefit cost analysis; Depreciation-purpose and use; Inflation and its effects

Unit 3:

Introduction to management; Environmental and ethical issues in decision making; Management of information

Unit 4:

Planning and strategic management; Organising; Leadership and motivation; Controlling

Unit 5:

Operations management; Marketing management; Financial management; Human resource management;

Management of international business

Suggested Text books:

1. DeGarmo, E. P., Sullivan, W. G. and Bontadelli, J. A., 1988, Engineering Economy, ed.viii, Macmillan.

2. Riggs, J. I., Bedworth, D. B. and Randhawa, S. U., 1996, Engineering Economics, ed. iv, TMH.

3. Stoner, J. A. F., Freeman, R.E. and Gilbert, D. R., 2003, Management, ed. vi, PH



1 x x x x x x

2 x x x x

3 x x x x

4 x x x x

5 x x x

6 x x x

2017-2018



Course Title Atmospheric Chemistry

Course Number : AC-308

Credits : 4

Course Category : OE

Credits : 04



Course Assessment : Course Work (Home Assignment & Quizzes (15%)

Midsem Examination (1 Hour) (25%)


Course Objectives

To impart knowledge about atmospheric structure, pollutants and their hazardous effects.

Course Outcomes


1. About the basic composition of the atmosphere, atmospheric structure and photo oxidants

2. About the air pollutants and their sources

3. About the significance of PM2.5 and PM10

4. About sampling and monitorring of gaseous pollutants

5. About control devices for particulate matter

6. About Green House effects and its control

Syllabus

Unit-I: Atmosphere Structure (8 L)

Basic atmospheric properties, composition of the atmosphere. Physical, thermal and electrical state of the atmosphere

(Troposphere, Stratosphere, Mesosphere and ionosphere). Photochemical oxidants and formation of photochemical

smog. Alternative fuels. Indoor air quality.

Unit-II.: Air Pollutants (8 L)

Classification of air pollutants. Clean Air Act. Criteria pollutants CO, oxides of nitrogen, oxides of sulphur and

hydrocarbons. Particulate matter; physical, chemical and biological characteristics of particulates. Significance of

PM10 and PM25.

Unit-III.: Monitoring of Air Pollutants (8 L)

Sampling and monitoring of gaseous pollutants: Grab sampling, condensation, adsorption and absorption techniques.

Methods of air pollution analysis. Chemical methods (volumetric and gravimetric methods). Instrumental methods:

Principle of spectrometry. Infrared absorption and molecular structure. Principle and instrumentation. Fourier

Transform infrared spectrometers. Atomic absorption spectrometry: principle and instrumentation. Quantitative

estimation of CO, CO2, SO2, H2S, O3 and NH3.

Unit-IV: Air Pollution Control (8 L)

Source correction method, diffusion, vegetation and zoning. Control devices for particulate pollutants: Gravitational

settling chamber, cyclone separators, fabric filters and electrostatic precipitator. General Principle of wet collectors

(scrubbers): spray tower, venture scrubber and cyclone scrubber.

Unit-V: Natural cycles (8 L)

Hydrologic cycle, nitrogen cycle oxygen cycle and carbon cycle.

Unit-VI Global Atmospheric Change (8 L)

Green house effect, regional impacts of temperature change. Changes in stratospheric zone, catalytic destruction of

Ozone, impacts of increased exposure to UV radiations.

Books Recommended:

1. N. Manivasakam. Environmental Pollution. National Book Trust, India.

2. S.M. Khopkar, Environmental Pollution Analysis. Wiley Eastern Limited.

3. S.S. Dara, A Text Book of Environmental Chemistry and Pollution Control. S. Chand and Company Ltd.

4. Suresh K. Dhameja, Environmental Engineering and Management. S.K. Kataria and Sons.

5. Gilbert M. Masters. Introduction to Environmental Engineering and Science. Prentice Hall of India, New

Delhi.

6. A.K. De, Environmental Chemistry, New Age International Publishers, New Delhi.

7. Howard S. Peavy, Donald R. Rowe, George Tchobanoglous, Environmental Engineering. McGraw Hill

International, New York.



1 x x x

2 x x

3 x

4 x x

5 x

6 x x

2017-2018



Course Number and Title AM-351, Numerical Techniques

Credits : 04

Course Category : OE (Open Elective)




Course Asseeement : Course Work (Home Assignments) (15%)



Course Objectives

To learn advanced numerical methods in system of equations, interpolation, approximation and study linear

programming problem

Course Outcomes

After completing this course the students should be able to

1 solve linear equations and eigen value problems

2 understand the interpolation techniques of different kind

3 approximate data, functions by least square methods

4 formulate linear programming problem and solve it

Syllabus

Unit-1

Matrices and linear equations: LU factorization & pivoting, singular value decompoutions. Numerical approach to

eigen value problems.

Unit-2

Interpolation: Polynomial, Rational function & spline interpolation with error analysis.

Unit-3

Least square approximations for discrete and continuous data. Minimax techniques for approximations. Randam

number generations.

Unit-4

Formulation of linear programming problem. Solution by graphical simplormethod. Duality. Introduction to nonlinear

programming.

Books:

1 M. K. Jain, S.R.K. Iyenger and R.K. Jain,″ Numerical Methods for Scientific and Engineering Computations″ ,

New age International Publication (P) Ltd.

2 S.S. Sastry, ″Introductory Numerical Methods″, Prentice Hall India Ltd.




1 x x x

2 x x x

3 x x x

4 x x x

2017-2018



Course Title Bio- Physics

Course Number : AP-304

Credits : 4

Course Category : Open Elective

Pre-requite(s) :



Course Assessment : Course Work (Home Assignments & Quizzes) (15%)

Mid-Sem. Examination (1 hour) (25%)

End-Sem. Examination (2 Hours) (60%)

Course Objective

To put on an understanding of the fundamental concepts of biological systems and in turn the basic life phenomena. It

tends to be studied by those who have a background in physics and engineering, and who may thus be bringing useful

expertise to the investigation of living things.

Course Outcomes


1. Understand a qualitative account of the processes which occur on a number of different size scales, which

lead to the overall functioning of the body.

2. Design building and spaces which create, support, and enhance life and living systems (BioArchitecture).

3. Identify and establish a synergy between electronics and biology (Bioelectronics).

4. Design and construction of unit processes that involve biological organisms or molecules (Biochemical).

5. Identify the different ways of crafting biocomputers, biosensors and biochips.

6. Development of effective written and oral communication skills.

Syllabus

Unit 1. Energies, Forces and Bonds: Interactive Potentials for strong and Weak Bonds, Non central forces, Bond

Energies and Spring constants.

Techniques and Methods : X-ray diffraction and Molecular structure, Nuclear Magnetic Resonance,

Scanning Tunnelling Microscopy, Atomic Force Microscopy, Optical Tweezers.

Unit 2. Biological Polymers & Biological Membranes: Nucleic Acids, DNA and RNA, Proteins, Proteins folding

Biological Membranes, Membrane Chemistry and Structure, Membrane Physics, Excitable Membranes,

diffusion and Mobility of ions, Resting Potential

Nerve Signals: Passive Response, Nerve impulses, Nervous System Memory

Vertebrate heart: Role of the vertebrate circulatory system, blood pressure and veocities, the veretebrate

heart, the heart sequence, Electrocardiography, Heart as a pump.

Unit 3. Chemical Spectroscopy: Absorption, spectroscopy and Molecular structure, Atomic and Molecular energy

levels, vibration of polyatomic molecules, Raman spectra, characteristics bond frequency, Electronic energy

level, Electronic energy spectra of polyatomic molecules, UV absorption by proteins and nucleic acids.

Photoacoustic spectroscopic technique and its application to Biomolecules. Laser and its applications.

Unit 4. Radiation, Health and Traces : Absorption of radiation by body tissues, Damage because of neutrons, Radio

dose units, Relativge Biological Effectiveness ( RBE), Radiation detection and measurements.

Radioactive Traces, Requirements of a Tracer, Application of Traces, Chemical applications : Tracer method

and its limitations, Rate of chemical exchange reaction, Analytical applications : Neutron activation analysis,

Analysis with ion beams, PIXE technique.


1. Biophysics- An Introduction by Rodney Cotterill, John Wiley & Sons Ltd (Ed. 2002).

2. Nuclear and Radiochemistry, Gerhart Friedlander, Joseph w. Kenedy, Ed ward S. Macias and J.M.

MillerJones, Wiley & Sons



1 x x x

2 x x x

3 x x x

4 x

5 x x

6 x x

2017-2018



Course Title Engg. Materials & Material Science

Course Number : AP-308

Credits : 4


Pre-requite(s) :



Course Work : Home Assignments (15%)



Course Objective

1. To know the fundamentals and engineering principles relevant to the materials.

2. Understand the relationship between characterization, properties and processing and design of materials.

3. Be able to have the experimental and theoretical skills for a professional career or graduate study in materials.

4. Possess knowledge of the significance of research, the value of continued learning and environmental/social

issues surrounding materials.

5. Be able to communicate effectively, to work in teams and to assume positions as leaders.

Course Outcomes Upon completion of the course, the student will be able to:

1. apply general math, science and engineering skills to the solution of engineering problems.

2. apply core concepts in Materials Science to solve engineering problems and possess the skills and techniques

necessary for modern materials engineering practice.

3. knowledgeable of contemporary issues relevant to Materials Science and Engineering and to select the

materials for design, construction, conduct experiments and to analyze data.

4. aware of the social, safety and environmental consequences of their work, and be able to engage in public

debate regarding these issues.

5. understand the professional and ethical responsibilities of a materials scientist and engineer.


Syllabus

Unit 1. Dielectrics (D.C. Field): Polarization & Dielectric Constant, Atomic interpretation of dielectric

constant of monoatomic gases, Electronic & ionic polarization, Orientational polarization and dielectric

constant of polyatomic gases, Permanent electric dipole moment of polar gases, Internal field in solids

& Lorentz field, Static dielectric constant of solids, Ferroelectric materials & Curie Law,

Piezoelectricity.

Unit 2 (a). Dielectric (Alternating Fields): Behaviour of dielectrics in alternating fields – frequency dependence

of polarization, Complex nature of polarizabilities, Variation of polarizabilities with frequency of A.C.

field, Dipolar Relaxation, Dielectric Losses.

Unit 2(b). Semiconductor (p-n junction): Drift & diffusion currents and continuity equation for minority carriers,

Einstein‘s equation Potential barrier, Thickness and capacitance of depletion layer, Display devices.

Unit 3. Magnetic Materials: Origins of magnetism in solids, Classification of magnetism materials, Theories

of para-, ferro-antiferro- and ferrimagnetic materials, Ferrites – composition, properties and

applications, Soft and hard magnetic materials – composition properties and applications.

Unit 4. Superconductivity: Thermal properties of superconductivity, Energy gap and temperature dependence

of energy gap Thermodynamics of the superconducting transition, London equation, Superconducting

ring, Coherence length Single particle tunneling, Expressions for current across Josephson junction in

different situations, High temperature superconductors- compositions, properties & applications.


1. Kittel C., Introduction to Solid State Physics (Wiley Eastern Pvt. Ltd.)

2. Streetman Ben G. & Banerjee, S., Solid State Electronic Devices (Prentice Hall of India)

3. Dekker A.J., Electrical Engg. Materials (Prentice Hall of India)

4. Dekker A.J., Solid State Physics (Macmillan & Co.)



1 x x

2 x x x

3 x x x

4 x x

5 x x

6 x x

2017-2018

DEPARTMENT OF CHEMICAL ENGINEERING


Course Number and Titile CH 337 Solid Waste Management

Credit : 4

Course Type : OE (Open Elective)

Pre-requisite : CE 111



Course Assessment : Course Work ( Home Assignments & Quizzes ) (15%)

Midsem Examination ( 1 hr) (25%)

Endsem Examination (3 hr) (60%)

Course Objectives

To get an understanding of the basics of solid waste management. To gain an insight in Various state of art

technologies and its application in solid waste management.

Course Outcomes

After completing this course the students shall be able to:

1. Understand the scope and challenges of solid waste management in present scenario.

2. Learn and apply Engineering Principles in analyzing quantities of solid waste.

3. Understand and analyze waste collection system

4. Analyze and quantize landfill gas generation.

5. Analyze and quantize leachate generation, analysis of landfill cover.

6. Application and design of various thermal technologies.

7. Application and design of various Biochemical conversion technologies.

Course Syllabus:

UnitI : Functional Elements of Solid Waste Management, Sources and Types of Waste, Composition of MSW,

Integrated Solid Waste Management, Physical, Geotechnical, Chemical & Biological Properties of

MSW, Material Balance Analysis, Load Count Analysis, Legal Frame work, Hazardous Waste in MSW.

UnitII : Waste Collection. Types of Collection Systems, Equipment & Personnel Requirements, Analysis of

Collection Systems, Collection Routes and Their Layout

UnitIII : Landfills, Types of landfills. Components of a Landfill, Landfill Gas, Various Phases of LFG- Generation

and Volume of gas Produced, Variation of Gas Production with Time, Movement of Landfill Gases,

Landfill Area Requirements.

Leachate Management: Leachate Characteristics, Old & fresh Leachate, Leachate Management System.

Determination of Leachate Quantities, Water Balance Method and HELP Model.

Cover : Various Layers of final Cover. Main Elements in the design of Final Cover.

UnitIV : Thermal Technologies: Combustion, Stoichiometric Combustion, Excess Air Combustion, Combustion

Systems, Heat Recovery Systems. Pyrolysis, Operational Problems with Pyrolysis Sytems. Gasification

Systems, Types of Gasifiers.

Biochemical Conversion Technologies: Nutritional Requirements, Types of microbial Metabolism,

Aerobic Biological transformations, Anaerobic Biological transformations.

Textbook(s)/ Reference Book(s):

1. Tchobanoglous G, Theisen H.,Vigil, S A ‗Integrated Solid Waste Management‘, ‗International Edition,

1993,McGraw- Hill International Editions.

2. Wentz, C.A., ‗Hazardous Waste Management, 2nd

Edition, 1995, McGraw Hill International.

3. Solid Waste Management Source Book/Asia (2002) Prepared by UNEP(United Nations Environment Program.

4. White Paper on Delhi Pollution (2002) Released by the Parliament of India.

5. I. H. Khan & N Ahsan, ―Textbook of Solid Wastes Management‖, CBS Publishers & Distributers, 2003.



1 x x x x

2 x x

3 x x

4 x x

5 x x x

6 x x x

7 x x

2017-2018



Course Title Power Electronics

Course number EE-301 Credit Value 4 Course Category OE

Pre-requisite EE-111



Course Objectives To introduce the basic concepts of power electronics, types of converters, their

characteristics, turn-on of SCR, gate characteristics, AC-DC Converters, DC - DC

Converters, AC-AC and DC-AC Converters.

Course

Outcomes

At the end of the course the students will be able to

1. Articulate the basics of power electronic devices

2. Express the design and control of rectifiers, inverters.

3. Design of power electronic converters in power control applications

4. Ability to express characteristics of SCR, BJT, MOSFET and IGBT.

5. Ability to express communication methods.

6. Ability design AC voltage controller and Cyclo-Converter.

7. Ability to design Chopper circuits.

8. Ability to design Inverter circuit.

Syllabus Unit I Power Semiconductor Devices: Applications of power electronics; types of converters,

ideal switch; power diodes, SCR, Triac and their characteristics, di/dt, dv/dt limitations

and snubber circuits, other power semiconductor devices and their characteristics.

Unit II Gate Drive Circuits: Methods of turn-on of SCR, gate characteristics, simple R, RC and

UJT trigger circuits, driver and isolation circuits, cosine and ramp control circuits, simple

digital trigger circuit, commutation of SCR

Unit III AC-DC Converters: Principle of ac phase control, circuit configurations, waveforms for

1-ph mid-point and bridge converters, full and semi converters, analysis of single phase

ac-dc converter with R and RL loads, performance evaluation of phase controlled

converters, introduction to three phase converters: semi and full converter topologies,

dual-converters.

Unit IV DC - DC Converters: Basic principle of d.c. choppers: TRC and CLC methods;

switching regulators: buck and boost converters, basic principles of SMPS and UPS,

Introduction to resonant converters.

Unit V AC-AC and DC-AC Converters: Introduction to AC voltage regulators, integral cycle

control and phase control, cyclo-converters. Series, parallel and bridge inverter circuits,

PWM inverters: types of control and harmonic reduction.

Books*/References

1 *M.H. Rashid Power Electronics; PHI, Learning

2 *G.K.Dubey,

S.R.Doradla, A.Joshi and

R.M.K.Sinha

Thyristorised Power Controllers; New Age International,

New Delhi

3 M.H. Rashid (Ch. Editor) Power Electronics Hand Book, Acedemic Press, California

4 Jai P Agarwal Power Electronics Systems, Pearson.

5 M. S. Jamil Asghar Power Electronics, PHI Learning



1 x x x x

2 x x x x x

3 x x x

4 x x

5 x x x

6 x x x x

7 x

8 x x

2017-2018



Course Title New and Renewable Energy Sources

Course number EE-325/472

Credit Value 4

Course Category OE

Pre-requisite EE-111



Course Objectives To introduce fundamentals of various renewable energy source and their technologie used

to harness usable energy from solar, wind, ocean and Biomass energy sources.

Course

Outcomes

At the end of the course the students will be able to

1. Identify renewable energy sources.

2. Understand the mechanism of solar, wind and ocean energy sources.

3. Demonstrate the understanding of various technologies involved in power

generation from renewable energy sources.

4. Understand the methods to handle the biomass in a productive way.

Syllabus UNIT-1

Introduction: Energy resources and their classification, oil crisis of late 20th

century and

its impacts on energy planning, consumption trend of primary energy sources, world

energy future, energy audit and energy conservation, energy storage.

UNIT- 2

Solar Energy Conversion: Solar resources, passage through atmosphere, solar thermal

energy conversion: solar energy collectors, solar thermal power plant, solar PV

conversion: solar PV cell, V-I characteristics, MPPT, Solar PV power plant and

applications.

UNIT-3 Biomass Energy Conversion: Usable forms of Bio Mass, Biomass energy resources,

biomass energy conversion technologies, ethanol blended petrol and diesel, biogas plants.

Energy farming.

UNIT-4

Wind Energy Conversion: Wind Power: Energy estimation, Power extraction, lift and

drag forces, horizontal axis wind turbine, vertical axis wind turbine, wind energy

conversion and control schemes, environmental aspects.

UNIT-5

Other Alternate Energy Sources/Technologies: Geothermal Energy: geothermal fields,

types, geothermal energy generation systems, ocean tidal energy systems, fuel cell: basic

operation and classification, principle of MHD generation, output voltage and power,

environmental aspects.

Books*/References

1. *B.H. Khan Non conventional Energy Resources, 2nd

edition, 2009.

2. G.D. Rai Non Conventional Sources of Energy, (Khanna Publishers).

3. J.W. Twidell& A.D. Weir Renewable Energy Resources, (ELBS / E. & F.N. Spon., London).

4. Godfrey Boyle Renewable Energy, Oxford, 2nd

edition 2010.

Edition.



1 x x x

2 x x x

3 x x

4 x x x

2017-2018


B. Tech.

Course Title ALGORITHMS AND OPERATING SYSTEMS LAB


Credits : 2


Pre-requisite(s) :



Course Objectives

This course is helpful in making students learn the basic building blocks of software such as data structures and logic

development. This course also provides them with an opportunity to apply software engineering techniques when

building software.

Course Outcomes


1. Design basic algorithms using data structures

2. Understand the procedures defined under software engineering

3. Apply various programming concepts to create simple software

4. Analyse programs in order to understand their functioning

5. Interpret various errors when developing software and to trace their causes.

Syllabus/ List of experiments

1. Implement the Bubble Sort algorithm with early detection for termination

2. Implement a linked list and perform the following operations on it: (i) Insert a node (ii) Delete a node ( iii)

Search for a node

3. Write a program to implement the Breadth First Search (BFS) algorithm.

4. Write a program to create a Binary Tree and perform inorder, preorder and postorder traversal on it.

5. Write a program to implement the Heapsort algorithm.

6. Minimize a given Boolean expression using the K-map method

7. Implement the insertion sort algorithm

8. Write a program to implement the Depth First Search (DFS) algorithm.

9. Write a program to insert and delete a given node in a Binary Search Tree (BST).

10. Write a program to implement the Mergesort algorithm and use it to implement merging.

Text Book(s)/ Reference Book(s)


2. M. Morris Mano, ―Digital Logic and Computer Design‖, PHI.

3. W. S Jawadekar, Software Engineering- Principles and Practices, Tata McGraw Hill, 5th

Edition



1 x x x x x

2 x x x x x

3 x x x

4 x x x x x

5 x x x x

2017-2018


B. Tech.

Course Title MICROPROCESSOR LABORATORY


Credits : 2





Course Objective

To develop a practical understanding of machine- and assembly-language programming 8085 and 8086

microprocessors and interfacing external systems with the 8085.

Course Outcome


1. Design device-independent algorithms for machine language programs

2. Implement and execute machine language programs

3. Interface various digital devices with 8085

4. Implement assembly language programs on 8086 and later microprocessors from Intel

5. Develop the skill of working within a limited capacity processing environment and explain the efficiency-related

issues

Syllabus

Experiments to be conducted in this lab include, but are not limited to, writing and executing programs, and

interfacing if necessary, for:

1. 8085: to find minimum in given list of ‗n‘ numbers.

2. 8085: to find square of a number.

3. 8085: to find a square root of a number.

4. 8085: to convert given HEX number into DECIMAL and vice versa.

5. 8085: to evaluate n!/7, where the result can be up to 16-bits, using subroutines for multiplication and

division.

6. 8085: to find third largest in given list of ‗n‘ numbers.

7. 8085: to glow alternate LEDs using Digital I/O card.

8. 8085: to perform multi-byte addition on two given byte strings.

9. 8085: to remove multiple occurrences of numbers in a given list of numbers.

10. 8085: to determine the frequencies of distinct numbers in a given list of numbers.

11. 8085: to evaluate the value of ab

for given values of a and b.

12. 8085: to generate Tribonacci series for a given value of n. The Tribonacci series is defined as: fn=fn-1+fn-2+fn-3

for n≥3 and f0=0,f1=1,f2=1.

13. 8085: to generate a square wave using SOD line of 8085 and display it on a CRO.

14. 8086: to perform multi-byte addition on two given byte strings.

15. 8086: to remove multiple occurrences of numbers in a given list of numbers.

16. 8086: to determine the frequencies of distinct numbers in a given list of numbers.

17. 8086: to evaluate the value of ab

for given values of a and b.

18. 8086: to add two 3x3 matrices.

19. 8086: to multiply two 3x3 matrices.

20. 8086: to implement bubble sort.

21. 8086: to implement selection sort.

BOOKS:

*1. R.L Gaonkar- ―Microprocessor Architecture, Programming and Applications‖, Wiley Eastern Ltd.

*2. K.L Short- ―Microprocessor and Programmed Logic‖- PHI Ltd.

3. A.P Mathur- ―Introduction to Microprocessors‖,- Tata McGraw Hill.

4. B.Ram- ―Fundamentals of Microprocessors and Microcomputers‖,- Dhanpat Rai and Sons.

5. Barry B. Brey- ―The Intel Microprocessors, Architecture Programming and Interfacing‖,- PHI Ltd.

* Text Book



1 x x x x x

2 x x x x x x x

3 x x x x x x x x

4 x x x x x x x x

5 x x x x x x x

2017-2018


B. Tech.

Course Title Minor Project Lab


Credits : 3





Course Objective

The objective of this lab is to make the students understand the software engineering paradigm by working on a minor

project.

1. Familiarize the students with software development life cycle stages

2. Learn to apply the design methodologies

3. Learn to implement, test and deploy the project efficiently

4. Develop the understanding and use of some application development environment like .Net, JVM, Eclipse etc

5. Gain in-depth knowledge on some specific concept

6. Develop the ability to work in a team

Course Outcome


1. Apply software development practices in projects

2. Express project requirements in IEEE SRS format

3. Design using standard design methodologies

4. Implement the project using a programming language and platform

5. Test and debug the project

Syllabus:

List of Minor projects conducted in the Lab

Implementation of MOST architecture for neural network design optimization

Online examination system

Auto Sync Utility

Social networking website for information sharing

Social network analysis using NetworkX

Identify trends in data using HADOOP

Auditing software for database

Gadget review website

Promotional website for small scale business

Online job search website

Network communication on Android

Audio/video file splitter

Adaptive e-test

TPO Management

Mobile application for course management

Dynamic news alert application on android

Development of 'skyset' mobile game

Blog website for AMU

An improved Steganography scheme

Adaptive CPU scheduling algorithm

Game for PC 'Beware of Balls'



1 x x x x

2 x x x x x x x x

3 x x x x x x

4 x x x

5 x x x x

2017-2018


B. Tech.

Course Title ADVANCED COMPUTING LAB


Credits : 2


Pre-requisite(s) :



Course Objectives

This course is helpful in making students learn advanced tools for software development. The student is expected to

learn programming and debugging tools on windows and non-windows platforms such as Linux/Unix.

Course Outcomes


1. Be comfortable with programming on the Linux platform

2. Understand programming tools for software development

3. Apply software development tools to debug software

4. Develop algorithms that satisfy various constraints

5. Analyse software behaviour to isolate anomalies

Syllabus/ List of experiments

1. Implement the Least Frequently Used (LFU) CPU scheduling algorithm

2. Implement the Least Recently Used (LRU) CPU scheduling algorithm

3. Implement the Round Robin (RR) CPU scheduling alogrithm

4. Implement the Shortest Job First (SJF) CPU scheduling alogrithm

5. Write a shell script in Linux to print the operating system environment variables

6. Write a shell script determine if a given number is a magic number based on certain conditions

7. Write a program to create three threads to manipulate a shared global array

8. Write a program to synchonise mulitple threads to avoid data inconsistency

9. Write a program to implement the producer-consumer problem

10. Set up a simple web server in Java to support HTTP

11. Extened the server developed in the previous experiment to a multi-threaded (or concurrent) Web server.


1. Abraham Silberschatz, Peter Baer Galvin and Greg Gagne, Operating System Concepts, 7th

Edition, Wiley

2. Richard Blum, Linux Command Line And Shell Scripting Bible 2nd Edition, Wiley India, 2011

3. Elliot Rusty Harold, Java Network Programming: Developing Networked Applications, 4th

Edition, O‘Reilly

Media, 2013



1 x x x x

2 x x x

3 x x x x

4 x x x

5 x x x

2017-2018


B. Tech.

Course Title COLLOQUIUM


Credits : 2


Pre-requisite(s) : EZH1110, EZH2910


Type of Course : Seminar

Course Objective

To promote students for research and innovative work and to develop skills to present technical topics in front of high

technical audience.

Course Outcome

On successful completion of the course the students will be able to

1. Demonstrate, present and discuss core technical topics

2. Expose to current researches in various fields of computer science & engineering

3. Develop teaching and research skills

4. Learn professional development skills and professionalisms

5. Be a practicing professional and sustain in academic and corporate world.

Syllabus

The colloquium is structured in manner that there is a suitable mix of presentations of the students on diversified areas

of computer engineering. The colloquium will be coordinated by a faculty of the department.



1 x x

2 x x

3 x x

4 x

5 x

2017-2018


B. Tech.

Course Title DISTRIBUTED AND PARALLEL SYSTEMS

Course Number : COE4590

Credits : 4

Course Category : DE (Departmental Elective)




Course Objective

This course will introduce students to fundamentals parallel and distributed programming. The course will cover the

current parallel and distributed architecture, basic issues in parallel/distributed application development,

parallel/distributed algorithms, data-structures and programming methodologies, and current technologies. The course

will be a "hands-on" course with programming assignments and a final project.

Course Outcome

Upon successful completion of this course, the student will be able to know the following topics:

1. Limitations of sequential computers.

2. SISD, SIMD, MIMD and networked computers

3. Shared memory and distributed memory computers

4. Static and dynamic interconnections

5. Message passing schemes

6. Performance and scalability: speedup, granularity, cost-optimality, Amdahl's law and its suitability

7. Different Parallel Algorithms.

Syllabus:

UNIT I INTRODUCTION

Need for high performance computers; Limitations of Von Neumann Architecture, Pipelining, Interleaved memory

Organizations, cache, Flynn's and other Classifications; Amdahls Law; Gustufson-Barsis Law; Comparison of two

laws, efficiency and speed up Curves; performance measures & metrices.

UNIT II SIMD MODELS

SIMD configurations, Shared memory and mesh- Connected models, Processor organizations - mesh, shuffle, inverse

shuffle, butterfly, Hypercube; Inter connection networks & performance parameters, Sorting Algorithm on SIMD

models.

UNIT III PIPELINED VECTOR PROCESSOR & MULTIPROCESSORS

Vector Operations; General pipelines, concept of reservation tables; Pipelining of Vector operations; Vectorizing

Compilers, case study of Vector Computers- CRAY -1, CRAY –XMP, VP 200, IRAM etc. Tightly coupled and

Loosely Coupled Systems; Shared memory and message, Passing models; Properties & Characteristics of

Multiprocessors, UMA and NUMA models, Task scheduling, deadlock, cache coherency/ consistency, and their

solutions.

UNIT IV PARALLEL ALGORITHMS

Abstract m/c Models; RAM & PRAM Models Analysis of Parallel, Algorithms, Cost Optical algorithms, Concepts of

Complexity of algorithms; NP- hard Problem etc, Searching & Sorting algorithms on PRAM Models, Practical models

of parallel Computation; BSP, Log GP models, Heterogeneous processing, Parallel programming environments,

concept of Grid & Cloud computing.

Books:

*1. Hwang and Briggs, "Computer Architecture and Parallel Processing", McGraw Hill International.

2. Kai Hwang , "Advanced Computer Architecture", McGraw Hill International

3. Quinn M. J., "Designing Efficient Algorithms for Parallel Computers", McGraw-Hill International

4. Saing Soo, YL. Ching, ―Parallel processing and parallel Algorithms, springs Publications.

*Text Book



1 x x

2 x x

3 x

4 x

5 x

6 x

7 x x x x

2017-2018


B. Tech.

Course Title Compiler Design


Credits : 4





Course Objectives

This course aims to familiarize students with compiler techniques. It covers how to build compiler of programming

languages. It discusses important language issues, their syntax verification and translation to machine language. But

these techniques also find application in several other problems such as string parsing, translator etc.

Course Outcomes


1. be familiar with the techniques used in lexical analysis, syntax analysis, semantic analysis, intermediate code

generation, code optimization and code generation

2. be able to build compiler

3. be able to apply compiler techniques in other domain such as in building translator, parser etc.

Syllabus

UNIT-I Introduction to Compiler & Lexical Analysis

Introduction, Structure of Compiler, Elements of Programming Language, Grammar, Derivation, Syntax Tree, Parse

Tree, Ambiguous Grammar, Symbol Table, Lexical Analysis – Specification and Recognition of Tokens, Lookahead

Operator, Lexical Errors.

UNIT-II Syntax Analysis and Syntax Directed Translation

Syntax Analysis – Top Down Parsing, Predictive Parser, Bottom Up Parsing, SLR, Canonical and LALR Parsing,

Error Handling in Top Down and Bottom Up Parsing, Syntax Directed Definition, Synthesized and Inherited

Attribute, S-Attributed Definition, L-Attributed Definition.

UNIT-III Intermediate Code Generation

Type Checking, Intermediate Code Forms, Intermediate Code Generation for Arithmetic Expression, Boolean

Expression, if-then-else, goto, while statements etc. Run-Time Environment

UNIT-IV Code Generation & Code Optimization

Issues in the design of Code Generator, Basic Blocks and Flow Graph, Register Allocation and Assignment. Sources

of Optimization, Optimization of Basic Blocks, Global Data Flow Analysis – Reaching Definition, Available

Expression, Live Variable etc. Loops in Flow Graph.

REFERENCES

1. Aho, Lam, Sethi, Ullman, ―Compilers : Principles, Techniques and Tools‖, Pearson Education.

2. Aho, Ullman, ― Principles of Compiler Design‖, Narosa Publising House.

3. Steven S. Muchnick, ―Advanced Compiler Design Implementation‖, Harcourt Asia Pte Ltd.



1 x x x

2 x x x x x

3 x x x

2017-2018


B. Tech.

Course Title Design of Prgoramming Languages


Credits : 4

Course Category : DE




Course Objectives

The objectives of this course are the following:

1. To increase capacity of expressing ideas

2. To improve background for choosing appropriate languages

3. To increase ability of learning new languages

4. To better understanding of the significance of implementation

5. To overall advancement of computing

Course Outcomes

On completion of this course, the student will be able to:

1. Explain the different categories of programming languages

2. Remember the history of few well known programming lanugages

3. Analyze semantic issues associated with language implementations

4. Determine basic constructs of designing a programming language

5. Differentiate the imperative, functional, and object oriented languages

6. Describe key features of abstract data types and object oriented paradigms

7. Illustrate the essential for scripting and logic programming languages

Syllabus

UNIT I PROGRAMMING LANGUAGE CONCEPTS

Programming languages design concepts and trade-offs; Evolution of major PLs: functional, object oriented

and scripting languages; Basic building block of PLs: constants, variables, expressions and statements;

Names, binding, type checking, scope rules, syntax and semantics of PLs

UNIT II BASIC CONSTRUCTS OF PROGRAMMING LANGUAGES

PLs primitive, character, array, record, union, pointer and reference type data types; PLs expressions,

Selection and Iterative statements; Unconditional branching; Guarded commands; Subprograms, Parameter

passing methods, Subprograms Implementation

UNIT III OBJECT ORIENTED AND MODERN PROGRMMING LANGUAGES

Characteristics of object-oriented programming; Abstraction and Encapsulation constructs; Support for

object-oriented programming in Smalltalk, C++, JAVA and Ruby; Concurrency levels, Java and C# Threads,

Exception & Event handling in C++ and in Java

UNIT IV FUCNTIONAL AND LOGIC PROGRAMMING LANGUAGES

Fundamental of Functional programming languages: lambda expression; An introduction to LISP, Scheme,

ML and Haskell, Introduction to predicates calculus and logic programming; PROLOG and its elements;

Application of logic programming.


1. *Robert W. Sebesta, ―Concepts of Programming Languages‖ Ninth edition, Pearson Education India, Pte.

Ltd, 2010.

2. M. Morris Mano and Charles Kime, ―Logic and Computer Design Fundamentals‖, Fourth edition, PHI, Pvt.

Ltd. 2007.

3. W William Stalling, ―Computer Organization and Architecture Designing for Performance‖, Seven edition,

Pearson education, Ltd, 2006.

4. Mohamed Rafiquzzaman, ―Fundamentals of Digital Logic and Microcomputer Design‖, Fifth edition, Wiley

Interscience, A John Wile & Sons Inc. publication, 2005.

*Text Book



1 x x x

2 x x x x

3 x x

4 x x

5 x x

6 x x

7 x x x x

2017-2018


B. Tech.

Course Title Soft Computing


Credits : 4


Pre-requisite(s) :



Course Objectives

The objectives of this course are the following:

1. To construct computational intelligence

2. To develop intelligent machines

3. To provide solutions to real world problems

4. To exploit the tolerance for approximation, uncertainty, imprecision, and partial truth

Course Outcomes


1. Define & describe the soft computing and its approaches

2. Design & construct the roles of soft computing in building intelligent machines

3. Identify and select a suitable Soft Computing methodology to solve the problem

4. Understand & define fuzzy sets and represent these sets by membership functions

5. Describe the relation between real brains and simple artificial neural network models

6. Design genetic algorithms for single and multiple objective optimization problem

7. Combine atleast two soft computing approaches for the advancement in computing

Syllabus

UNIT I INTRODUCTION

An overview of Soft Computing, Constituents of Soft Computing and conventional Artificial Intelligence,

Introduction to Artificial Neural Networks, Perceptron, Neural Networks Learning Rules, Activation

Functions, Derivation of generalized delta learning rule (backpropagation) for Multilayer perceptron.

UNIT II FUZZY LOGIC

Fuzzy Sets, Basic Definitions and Terminology, membership function Set-theoretic operation. Fuzzy union,

intersection and complement, various T-norm and T-conorm operators, Fuzzy Relations.

Fuzzy Logic, Approximate Reasoning, Compositional Rule of Inference, Mamdani Fuzzy model, Sugeno

Fuzzy model, Fuzzy decision making, Fuzzy Control.

UNIT III GENETIC ALGORITHMS

Fundamentals of Genetic Algorithm, Encoding, Reproduction, Roulette Wheel, Tournament Selection, Rank

Selection etc. Cross over and mutation operators, Introduction to Simulated Annealing. Recent Trends

UNIT IV HYBRID SYSTEMS

Hybrid Systems, GA based Fuzzy Systems and Neural Networks Training, Any other applications of soft

computing.


Books:

1. *Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and Applications, S. Rajasekaran and G.

A. Vijayalakshmi Pai, Prentice Hall India

2. *Fuzzy Logic and its Engineering Applications, T.J. Ross, Mc Graw Hill

3. *Introduction to Artificial Neural Networks, J.M. Zorada, Jaico Publishing House

4. Neuro-Fuzzy and Soft Computing, Jang, Sun and Mizutani, Pearson Education Asia

5. Genetic Algorithms, D. E. Goldberg, Pearson Education Asia

*Text Book



1 x x x

2 x x

3 x

4 x x x x

5 x x

6 x x

7 x x x

2017-2018


B. Tech.

Course Title EMBEDDED SYSTMS


Credits : 4

Course Category : DE (Department Elective)

Pre-requisites :



Course Objective

1. Provide Basic terminology and concepts of Embedded system.

2. Introduce FPGA and CPLD and UML in embedded system design.

3. Introduce Microprocessor/microcontroller architectures and instruction sets.

4. ARM and SHARC processors and Programming concepts.

5. Provide explanation of Design constraints: low power, speed, memory size, real-time behavior.

6. Introduction to real-time operating systems

7. Provide understanding of Basic network and communication protocols.

Course Outcome


1. Comprehend important embedded system terminology

2. describe the special requirements that are imposed on embedded systems

3. Compare RISC and CISC architectures.

4. sketch a design of an embedded system around a microprocessor or microcontroller.

5. Compare ARM and SHARC processor.

6. explain how microprocessor, memory, peripheral components and buses interact in an embedded system.

7. Interface to peripherals, knowledge of general interfacing standards.

8. evaluate how architectural and implementation decisions influence performance and power dissipation.

9. Describe requirement for a real-time embedded system.

Syllabus

UNIT I. INTRODUCTION TO EMBEDDED SYSTEMS

Overview of Embedded systems, Design model for Embedded systems, Design description with Unified

Modeling Language (UML), Introduction to FPGA and CPLD.

UNIT II. SMALL SCALE EMBEDDED PROCESSOR Embedded systems Architecture: RISC/CISC Architecture, Von-Neumann and Harvard Architecture,

PIC Microcontroller: Architecture, Instruction Set and Interrupt Logic.

UNIT III. ADVANCED EMBEDDED PROCESSORS Study of ARM and SHARC processors: Architecture, Programming Concepts, CPU performance, CPU

power consumption, CPU buses, ARM bus, SHARC bus, Some other Embedded systems processors.

UNIT IV. EMBEDDED SYSTEMS SOFTWARE

Program Design and Analysis, Control and Data Flow graphs, Embedded Operating Systems,

Scheduling, Networks for Embedded systems, Various network protocols.

Books:

*1. Computers as Components: principles of embedded computing system design, Wayne Wolf, Morgan

Kaufman (Harcourt India).

2. Design with PIC Microcontrollers, John B. Peatman, Pearson Education.

*3. Programming for Embedded Systems by Prasad, Gupta, Das and Sharma, Wiley DreamTech India

Pvt Ltd.

4. Embedded System Design: a unified hardware/software by Vahid and Givargis, John Wiley.

5. The design of small-scale embedded systems, Tim Wilmhurst, Palgrave.

*Text books.




1 x

2 x

3 x

4 x x

5 x

6 x

7 x x

8 x

9 x x

2017-2018


B. Tech.

Course Title COMPUTER NETWORK DESIGN


Credits : 4


Pre-requisite(s) : Contact Hours (L-T-P) : 3-1-0


Course Objective


1. Understand principles of network services and applications.

2. Identify and analyze delays and losses in networks.

3. Design reliable data transfer protocols.

4. Understand how to analyze of congestion control and flow control mechanisms.

5. Design and develop applications that run over networks.

Course Outcome


1. Understand principles of network services and applications.

2. Compute and analyze delays and losses in networks.

3. Design protocols for reliable data transfer.

4. Analyze mechanisms of congestion control and flow control.

5. Design and develop network applications.

Syllabus

UNIT I INTRODUCTION

Introduction to Computer Networks, Circuit Switching and Packet Switching, Protocol Layers and

Their Service Models, Introductory Concepts of Queuing Theory: Queuing Delays and Losses,

Introduction to Application Layer, Application Layer Services and Protocols: The Web and HTTP,

FTP, Electronic Mail, DNS.

UNIT II TRANSPORT LAYER

Introduction and Transport Layer Services, Connectionless Transport, Principles of Reliable Data

Transfer: Go-Back-N and Selective Repeat, Connection-Oriented Transport, Principles of

Congestion Control, TCP Congestion Control.

UNIT III NETWORK LAYER

Introduction, Virtual Circuit and Datagram Networks, The Internet Protocol: Forwarding and

Addressing, What is Inside a Router?, Routing Algorithms: Link-State Routing, Distance Vector

Routing, Hierarchical Routing, Routing in the Internet: RIP, OSPF, BGP.

UNIT IV LINK LAYER

Introduction to Link Layer Services, Error Detection and Correction Techniques, Multiple Access

Protocols, Link-Layer Addressing: MAC Addresses, ARP, DHCP, Ethernet, Interconnections: Hubs

and Switches, The Point-to-Point Protocol.

Books:

*1. J.F. Kurose, K.W. Ross, Computer Networking: A Top-Down Approach Featuring the Internet, 6th Edition,

Pearson Education, 2012.

2. Andrew S. Tanenbaum, David J. Wetherall, Computer Networks, 5th Edition, Pearson Education, 2012.

3. K.S. Trivedi, Probability and Statistics with Reliability and Queuing and Computer Science Applications,

Second Edition, John Wiley, 2002.

*Text Book



1 x x

2 x x

3 x x

4 x x x

5 x x

2017-2018


B. Tech.

Course Title Mobile Computing


Credits : 4


Pre-requisite(s) : CO-313, EL-340



Course Objectives

Mobile computing and wireless networks is a young and dynamic field. Ubiquitous access to information, anywhere,

anyplace, and anytime, will characterize whole new kinds of information systems in the 21st century. These are being

enabled by rapidly emerging wireless communications systems such as Cellular transmissions, Personal

Communications Systems, Mobile IP, Wireless Local Area networks (LANs). Moreover, the next generation

communication systems are expected to provide a range of services to mobile users to support voice, video,

multimedia, conventional data, and Internet access in an integrated fashion.

Course Outcomes

At the end of this course students will be able to:

1. examine the area of wireless networking and mobile computing,

2. looking at the unique network protocol challenges and opportunities presented by wireless

communications and host or router mobility.

3. give a brief overview of fundamental concepts in mobile wireless systems and mobile computing,

mobile IP, as well as issues associated with small handheld portable devices and new applications that

can exploit mobility and location information.

Syllabus

Unit-I INTRODUCTION

Introduction to Wireless Communication Systems: Evolution of mobile radio communications,

examples of wireless communication systems, PCS Architecture, Cellular Telephony, 2G, 3G and 4G

Networks, AMPS, D-AMPS, GSM, CDMA

Unit-II MOBILITY MANAGEMENT

Handoff, Inter-BS Handoff, Intersystem Handoff, Roaming Management, Handoff Management,

MCHO, NCHO, MAHO, Hard Handoff, Soft Handoff

Unit-III 2G/2.5G/2.75G NETWORKS

D-AMPS, Cellular Digital Packet Data, CDPD Architecture, GSM System Overview, GSM Short

Message Service (SMS), GPRS Architecture, GGSN, SGSN, EDGE, Mobile Number Portability, VoIP

service for Mobile Networks

Unit-IV 3G AND 4G NETWORKS

UMTS, W-CDMA, CDMA2000, Field Trials, IP for 3G, HSDPA, HSUPA, WiMAX, LTE, Advanced

LTE, Circuit Switched Fallback (CSFB)

Text Book(s)/ Reference Book(s)References:

1. T.S. Rappaport, ―Wireless Communication: Principles and Practice‖, 2nd

ed, Pearson, 2002

2. Yi-Bing Lin, ―Wireless & Mobile Network Architectures‖, John Wiley & Sons, 2001

3. Jochen Schiller, ―Mobile Communication‖, Pearson Education

4. Dave Wisely, Philip Eardley and Louise Burness ―IP for 3G - Networking Technologies for Mobile

Communications‖, John Wiley & Sons, 2002

5. Andreas Molisch, ―Wireless Communications‖, 2nd

ed, Wiley, 2005



1 x x x x

2 x x x x

3 x x x x x

2017-2018



Course Title SELECTED TOPICS IN COMPUTER ENGINEERING-I

Course Number : COO4600

Credits : 4


Pre-requisite(s) : Contact Hours (L-T-P) : 4 (3-1-0)


Course Objective

The objective of this course is to develop a basic understanding of cryptography, how it has evolved, and some key

encryption techniques used today, concept of processes in operating system and basic idea of wireless and mobile

communication also a brief idea about pervasive computing.

Course Outcome


1. Learn how the choice of data structures and algorithm design methods impact the performance of programs.

2. Analyze the importance and use of Abstract Data Types (ADTs)

3. Design and implement elementary Data Structures such as arrays, trees, Stacks, Queues, and Hash Tables.

4. Identify algorithms as a pseudo-code to solve some common problems.

5. Explain the process concept and various process scheduling algorithms in operating system.

6. Explain the concept of memory management like swapping, paging, segmentation, page replacement algorithms

etc in a given constraints.

SYLLABUS:

UNIT I INTRODUCTION

Concept of Data Structures, Basic Terminologies related to data structures, linear and non-linear

data structure. Concept and properties of algorithms, How to develop an algorithm, Complexity,

Time-Space Tradeoff, Algorithm analysis, Rate of growth: Big Oh notation, other asymptotic

notations for complexity of algorithms.

UNIT II ARRAYS

Arrays, one-dimensional arrays: traversal, selection, searching, insertion and deletion. Sorting:

Bubble sort, selection sort, insertion sort, merge sort, quicksort, other sorting methods and their

analysis. Multi-dimensional arrays, Representation of arrays in physical memory, Application of

arrays.

UNIT III ABSTRACT DATA TYPES (ADTs)

Abstract Data Types, Stacks, Applications of Stacks - prefix and postfix notations, Queue, Circular

Queue, Priority Queue, Dequeue, Linked Lists, Operations on Linked Lists, Binary Tree,

representation and traversal of binary tree.

UNIT IV OPERATING SYSTEM & MEMORY MANAGEMENT

Introduction, Process Concept, Process States, Process Control Block, Process Scheduling,

Scheduling Algorithms, Memory management: swapping, paging, segmentation, virtual memory,

page replacements algorithms.

References:

*1. Aho, Hopcroft, Ullman, ―Data Structures and Algorithms‖, Pearson Education

*2. Lipschutz, ―Data structures‖ Tata McGraw Hill.

*3. Silberschatz, Galvin ―Operating System Concepts‖, 7th

ed, Addisson Wesley, 2006


5. Goodrich M. Tamassia R., ―Data Structures and Algorithms in Java‖, 3rd

ed. Wiley

* Text Books



1 x x

2 x x x

3 x x x

4 x x

5 x x

6 x x

2017-2018



Course Title SELECTED TOPICS IN COMPUTER ENGINEERING-II

Course Number : COO4470

Credits : 4


Pre-requisite(s) :



Course Objective

The objective of this course is to study the fundamental concepts of Computer networking and Database Management

Systems. in this course, students will learn about protocols governing various layers of OSI and TCP/IP models like

flow control, techniques for routing information in packets and data organization in relational databases and

maintaining its atomicity, consistency, isolation, durability.

Course Outcome


1. Define computer network concepts and vocabulary.

2. Describe the layers of OSI and TCP/IP Model.

3. Explain the protocols of various layers.

4. Explain data link layer emphasizing on multiple access of media and collision detection.

5. Explain network layer emphasizing on routing algorithm.

6. Explain transport layer emphasizing on connection creation, management and crash recovery.

7. Describe architecture and fundamental elements of Relational Database management system.

8. Recognize a bad database design and improve it using Normalization Techniques.

9. Tell how to ensure atomicity, consistency, isolation, durability.

SYLLABUS:

UNIT I COMPUTER NETWORKS

Protocol and Protocol Structure, Layered Architecture, ISO-OSI Reference Model, TCP/IP

Reference Model, Physical and Data Layer Concepts: Transmission Media, MAC Layer, Flow

Control , CSMA/CD

UNIT II TCP/IP PROTOCOLS & ROUTING ALGORITHMS

Networks Layer : IP, Family & Protocol, Routing Algorithms Transport layer : QOS, Connection

Management; Flow Control, Buffering and Crash Recovery Introduction to Telnet, FTP, SMTP,

SNMP, PPP, SLIP

UNIT III DATA BASE MANAGEMENT SYSTEM

Data Base Systems and their needs, Components of DBS, DBS architecture, Data Base

Administrator and his role, DBMS and its Components, Relational Model: Domains, Attributes &

keys, Extension, Intension, Integrity Rules and Constraints, SQL

UNIT IV NORMALIZATION, RECOVERY AND CONCURRENCY

Normalization & Functional Dependencies, Introduction to Recovery, Transaction, Commit,

Rollback, Sync, Concurrency control problems

https://www.google.co.in/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&ved=0CDUQFjAB&url=http%3A%2F%2Fwww.lightwolftech.com%2Findex.php%3Fpage%3Dbackgrounders&ei=kmjCUqSWGsjArAfEsYCQDQ&usg=AFQjCNF1cOBqscZR-fbNdmqqEP_2nwvofQ&bvm=bv.58187178,d.bmk

https://www.google.co.in/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&ved=0CDUQFjAB&url=http%3A%2F%2Fwww.lightwolftech.com%2Findex.php%3Fpage%3Dbackgrounders&ei=kmjCUqSWGsjArAfEsYCQDQ&usg=AFQjCNF1cOBqscZR-fbNdmqqEP_2nwvofQ&bvm=bv.58187178,d.bmk

References:

*1. A.S. Tanenbaum , ―Computer Networks‖ 4th edition,

*2. Abraham Silberchatz, ― Data Base System Concepts‖, McGraw Hill

3. Forouzan, ―Data Communication and Networking‖, Tata McGraw Hill

4. Willian Stalbings , ―Data Communication and Networks‖,

5. Date, C.J.: ―Introduction to Data base System‖, Addison Wesley

6. Elmasri & Navathe ―Fundamentals of Database Systems‖ 5th

Edition

*Text Books



1 x x x

2 x x x

3 x x

4 x x

5 x x

6 x x

7 x x x

8 x x x x

9 x x x x

2017-2018



Course Title Water Resources and Watershed Management

Course No. : CE – 483

Course category : OE

Contact Hours : 4

Course Assessment : Continuous and Semester End Assessment

Objectives

1. To develop an appreciation of Water as a vital commodity for survival of mankind, and of Land for sustainable

watershed management: (a) Hydrologic cycle and its effect on man‘s activity (b) characteristics of watersheds

(c) Erosion process, erosion control and sediment yield (d) soil conservation practices.

2. To develop an understanding of the maintenance of fresh water resources and optimal water use for sustainable

development of the country.

3. To understand and experience physical, chemical and pathological properties of water for the health survival

and health hazard mitigation.

4. To understand and be able to apply the project economics in cost benefit analysis, Economic evaluation, project

implementation and management, problems of execution and management.

5. To understand rain water harvesting, river Interlinking, Water rights, Water disputes and legislation.

Course Outcomes:

After the completion of this course the students will be able to:

1. Apply fundamental concepts of Water and Land resources management to the solution water shortage

problems. The knowledge gained by the students will benefit in understanding the importance of the

water resources.

2. Understand the importance of optimal water use. The society will keep the water resources afresh and

will use water resources optimally.

3. Apply collection and storage of water through rainwater harvesting for sustainable development in the

perspective of increasing population and changing life styles of the people.

4. River interlinking studied in this subject will solve the dual problems i.e. shortage of water in drought

prone areas and safety of area against floods due to flood prone rivers. The flood mitigation studied in

this subject will safeguard the people and minimize the flood damages.

5. To be able to apply the knowledge in the management and development the water resources and to be

able understand the importance of water quality and water born diseases to solve the health and

environmental hazards problems.

Syllabus

Unit 1: Types of watershed and their characteristics, Purpose of planning of watershed projects, Guidelines for

project formulation, Management strategies, system concept, systems components.

Unit 2: Hydrologic cycle and its effect on man‘s activity, surface and sub - surface runoff, erosion process,

erosion control and sediment yield, sediment transport, Soil conservation practices.

Unit 3: Water resources and environmental problems, water quality management Design of water resources

systems, Water management, rain water harvesting, river Interlinking, Water rights, Water disputes and

legislation.

Unit 4: Flood and its mitigation, Environmental impact assessment, adverse effects of dams and reservoir on

environment, watershed management with multiple use concepts.

Unit 5: Project economics: pattern of financing and credit, cost benefit analysis, Economic evaluation, project

implementation and management, problems of execution and management.

Text / Reference Books:

1. K.C. Patra, ―Hydrology and water Resources Engineering‖

2. Wurbs & James ―Water resources Engineering‖

3. S. K., ―Garg Irrigation Engg. and Hydraulic Structures‖

4. K.C. Patra, ―Hydrology and water Resources Engineering‖

5. K G Ranga Raju, ―Flow through open channel‖

6. K.Subramanya‖Engineering Hydrology.‖



1 x x x x x x

2 x x x x x

3 x x x x x

4 x x x x x x

5 x x x

2017-2018



Course Title DISASTER MANAGEMENT

Course No. : CE – 444 N

Course category : OE

Contact Hours : 4

Course Assessment : Continuous and Semester End Assessment

Objectives

1. To create awareness amongst students to basic issues of natural and manmade disasters.

2. To ensure the understanding of the disaster management cycle and relationship amongst vulnerability,

preparedness, prevention and mitigation.

3. To invoke minimum ability and sensitivity amongst students to respond to disasters in their area of living and

working.

4. To develop technical prowess and to mitigate the effects of disasters by capacity building amongst

engineering fraternity towards formulation and implementation of disaster management strategies.

5. To relate amongst the basic approaches adopted in disaster risk reduction and institutional mechanism

adopted in country towards creating resilient society.

Course Outcomes:

After the completion of this course the students will be able to:

1. Understand genesis and causes of natural and manmade disaster within the framework of fundamental concepts of

basic sciences and engineering.

2. Perceive the vulnerability of their living and working places and level of preparedness within the existing setup of

disaster management.

3. Analyze and critically examine the vulnerability of a region and to employ adequate strategy and tools of

intervention.

4. Build capacity to use specialized problem solving skills, methodologies and technology.

5. Setup priorities to develop coherent and adaptable disaster management plan.

6. To produce technical reports and database for effective communication amongst stakeholders to comprehend the

problems of disaster management and to device improved technologies for future interventions.

Syllabus:

UNIT I - Natural and Man Made Disasters:

Meaning and nature of natural disasters, their types and effects. Floods, drought, cyclone, earthquakes, landslides,

avalanches, volcanic eruptions, Climatic change and extreme climate. Global warming, Sea level rise, ozone depletion.

Nuclear disasters, chemical disasters, biological disasters, building fire, coal fire, forest fire, oil fire, Pollution and

environmental degradation. Road, rail, sea and air accidents.

UNIT II - Earthquake and Cyclone:

Understanding dynamics of earth‘s interior and plate tectonics. Causes and classification of earthquakes. Seismology

and methods of earthquake measurement. Concept of seismic zonation and micro-zonation. Earthquake and associated

hazards. Preparedness, mitigations and civil engineering interventions.

Climatology, Cyclones and tropical cyclones, Naming and radius of cyclone, monitoring of cyclone, Categories of

Cyclonic disturbances, Causes of disaster during cyclone, damage and vulnerability assessment due to cyclone.

UNIT III - Landslide and Flood:

Understanding mass wasting and movement. Causes and classification of landslides. Landslide monitoring and

landslide hazard zonation. Slope stability analysis and stabilization methods. Preparedness, mitigations and civil

engineering interventions.

Understanding hydrosphere and hydrologic cycle. Causes and classification of floods. Preparedness, mitigations and

civil engineering interventions.

UNIT IV - Disaster Preparedness and Mitigation: Human behavior and response. International and National

Strategies for disaster reduction. Concept of disaster management. National disaster management framework. Central,

state, district and local administration; Armed forces, police, NDRF in disaster response, rescue and relief. Role of

NGOs, community based organizations and media. Role of different engineering disciplines in preparedness, response,

rescue, rehabilitation recovery, prevention and mitigation.

Books and Reading Material:

1. Bryant Edwards (2005): Natural Hazards, Cambridge University Press, U.K.

2. Carter, W. Nick (1991): Disaster Management – A Disaster Manager‘s Handbook, A.D.B., Manila.

3. Goel, S.L. (2006): Encyclopedia of Disaster Management, Deep & Deep Publications, New Delhi.

4. Government of India (2009): National Disaster Management Policy, New Delhi.

5. Gupta et. al. (2001): Manual of Natural Disaster Management, IIPA, New Delhi.

6. Harsh Gupta (2003): Disaster Management, Universities Press.

7. Kapur, Anu (2010): Vulnerable India: A Geographical Study of Disasters, Sage Publishers, New Delhi.

8. Monappa, K.C. (2004): Disaster Preparedness, Akshay Public Agencies, New Delhi.

9. Narayan, B. (2000): Disaster Management, Asia Publishing House, New Delhi.

10. Sahni, Pardeep et. al. (2002): Disaster Mitigation Experiences and Reflections, Prentice Hall of India, New

Delhi.

11. Turner, B. & Andnick, F. (1997): Man Made Disasters, Betterworth Heinemann, Oxford.

12. Vinod K. Sharma (ed.) (2010): Disaster Management, IIPA, New Delhi.

Web Resources

1. https://www.ndma.gov.in

2. https://www.nidm.gov.in

3. https://www.nicee.org

4. http://nptel.iitk.ac.in/



1 x

2

3 x x x

4 x x

5 x x x

6 x x x

https://www.ndma.gov.in/

https://www.nidm.gov.in/

https://www.nicee.org/

2017-2018



Course Title Air Pollution Technology

Course No. : ME-425 (OE)


Credits : 4

Pre-requisites : None

Contact hours : 3-1-0

Course Work : Home Assignment/quiz - 15%

Mid-sem Exam. (1 hour) - 25%

End-sem Exam (2 Hourss) - 60%

Course Objectives:

1. To impart complete knowledge of causes, effects and control of Air Pollution due to combustion systems.

2. To discuss pollutant monitoring techniques and control strategies.

3. To analyze the automotive emissions, their reduction technologies and emission standards.

Course Outcomes:

After taking this course the students should be able to

1. Understand and explain the global consequences of air pollution, effect of meteorological conditions on

pollutants dispersion and vice versa.

2. Calculate the air pollution severity in terms of PINDEX

3. Understand the formation mechanism and control strategies of combustion generated pollutants

4. Carry out sampling and analysis of combustion generated pollutants using modern on-line

techniques/instruments.

5. Identify the type and extent of emissions from mobile sources.

6. Select and design pollutant control devices for various applications.

Syllabus: NO. OF PERIOD

Unit 1: Introduction

-Introduction, Theories on the Global Consequences of Pollution 2

-Global Oxygen-Carbon Dioxide Balance 2

-Atmospheric & Meteorological effect, Lapse rate & Stability considerations 3

-General Characteristics of Stack Plume 2

-Assessment of Air Pollution Severity (PINDEX Scheme) 2

Unit 2: Pollutant Formation & Control

-General considerations of Combustion Generated Pollutants & their Control 2

-Formation & Control of Oxides of Nitrogen (Thermal, Prompt and Fuel Bound) 2

-Formation & Control of Oxides of Sulphur 1

-Formation & Control of Carbon Monoxide 1

-Formation & Control of UHC, soot/Particulate 2

-Photochemical Smog 2

Unit 3: Sampling & Analytical Techniques

-Methodology for Sampling and Analysis of Combustion Generated Pollutants 4

- Emission instrumentation used for NOx, CO, SOx, CO2 UHC and O2 analysis 4

Unit 4: Pollution from Mobile Sources

-Emission Standards for Automobiles 1

-Emission from Gasoline Engines 2

-Crank case & Evaporative Emissions 1

-External (Catalytic) Reactors 2

-Emissions from Diesel Engines 2

-Emissions from Gas Turbines & Jet Engines 1

-Emissions Reduction Technologies 3

Unit 5: Air Pollution Control Techniques -Types of Air Pollution Control Equipment & Source Correction 2

-Mechanical Fabric Filters 1

-Wet Scrubbers 2

-Electrostatic Precipitators 1

-Afterburners / Incinerators 2

-Catalytic Combustion 1

-Flare System

1

Extra Topics:

- The effect of Air Pollution on Weather and Climate Changes 1

- An assessment of the fact that ―Clean Air Costs Money-Dirty Air Cause 1

More Money

-Ambient Air Quality Standards 1

-Indoor Air Quality 1

Text Book: ―Air Pollution Control Engineering― by Noel de Nevers. Mc Graw Hill Int. Edition

References: 1. ―Air Pollution‖, by Wark & Warner, Harper & Collins Publishers

2. ―Air Pollution‖, by Rao and Rao, Tata Mc Graw Hill

3. ―Air Pollution Control Theory‖, by Crawford , Tata Mc Graw Hill



1 x

2 x x

3 x x x x

4 x x

5 x x

6 x x

2017-2018



Course Title : FINITE ELEMENT METHODS

Course Number : ME-435

Credits : 4








Course Objectives:

The objectives of this course are to:

1. Equip the students with the Finite Element Analysis fundamentals.

2. Enable the students to formulate the design problems into FEA.

3.Enable the students to perform engineering simulations using Finite Element Analysis software (ANSYS &

ABAQUS).

4. Enable the students to understand the ethical issues related to the utilization of FEA in the industry.

Course Outcomes:

Upon completing this course, the students should be able to:

1. Identify mathematical model for solution of common engineering problems.

2. Formulate simple problems into finite elements.

3. Solve structural, thermal, fluid flow and impact problems.

4. Solve complicated 2D structural problems for stress analysis under various loads.

5. Solve Fluid Structure Interaction problems.

6. Appreciate the importance of ethical issues pertaining to the effective utilization of FEA.

Syllabus:

Unit 1:

Basic concept of finite element method, approximate solution; Basic principle of structural dynamics, boundary, initial

and eigen value problems, Integral relations, functional, the variational symbols; Weak formulation of boundary value

problems; Rayleigh-Ritz method, Galerkin‘s method and method of weighted residuals.

Unit 2:

Finite element analysis of one dimensional problems-second order boundary value problems, basic steps of finite

element analysis

e.g. modeling of boundary value problems, Discretisation of domain, derivation of element equations, connectivity of

elements, imposition of boundary conditions, solution of equations; Application of finite element analysis to heat

transfer, fluid mechanics and solid mechanics.

Unit 3:

Bending of beams, Finite element error analysis, approximation errors, various measures of errors, conversions of

solutions, accuracy of solutions, problems based on error analysis, Eigen value and time dependant problems.

Unit 4:

Isoperimetric formulations and numerical integration, natural coordinates, approximation of geometry, Preprocessor,

calculation of element matrices, assembly of element equations, imposition of boundary conditions, solution of

equations and post-processing.

Unit 5:

Finite element analysis of two dimensional problems, Interpolation functions, numerical integration and modelling

considerations, Application of finite element 2-D analysis to heat transfer, fluid mechanics and solid mechanics.

BOOKS:

1. Tripathi R. Chandrupatla & Ashoke D. Belegundu; Introduction to Finite Element in Engineering, Prentice Hall of

India,Pvt. Ltd.

2. O.C. Zienkiewiez & K. Morgan; Fnite Elements & Approximations, John Willey & Sons, New York.

3. C.S. Krishnamorthy, Finite Element Analysis, Theory & Programming, Tata McGraw Hills.

4. J.N. Reddy; An introduction to Finite Element Methods 2nd



1 x

2 x x

3 x x x

4 x

5 x x

6 x x

2017-2018



Course Title : Pumps, Blowers and Compressors

Course Number : ME-437

Credits : 4








Course Objectives:

1. The students will be able understand the basics working of rotodynamics machines

2. The will be able to undertsand the design of positive displacement pumps.

3. They will learn the basic design analysis of axial flow compressors and their performance characteristics.

4. They will learn the design principles of blowers, both centrifugal and axial type.

Course Outcomes:

1. The students understand the basics working of single and multi-stage centrifugal pumps and blowers.

2. The undertsand the performance and design of positive displacement pumps.

3. They learn the basic design analysis of axial flow compressors and their performance characteristics.

4. They understand the physics of the internal rotating flows.

5. They are able to appropriately select the turbomachines based on their applications.

Syllabus:

Unit 1:

Pumps: Classification, Centrifugal and Axial Flow Pumps, Working Principle, Heads, Efficiencies, Cavitations,

Performance; Multi-stage Pumps; Applications.

Unit 2:

Positive Displacement Pumps: Reciprocating Pump, Gear Pump, Vane Pump, Screw Pump; Industrial & General

Applications of Pumps.

Unit 3:

Blowers: Centrifugal Blowers, Single & Multi-stage theory, adiabatic efficiency, performance; Applications.

Unit 4:

Compressors: Axial Flow Multi-stage compressors, Overall efficiency stage efficiency, symmetrical blading, aerofoil

blades; surging, choking and stalling, performance; Applications.

Unit 5:

Similarity Laws : Specific Speed, Model Testing of Pumps and Compressors in Laboratory, Predicting Performance of

Prototype, Scale Effect.

BOOKS:

1. Jagdish Lal; Hydraulic Machines.

2. Cherkarsky; Pumps, Fans, Compressors, Mir Publishers.

3. Vasandani; Heat Engineering.

4. Govinda Rao, T.M.H.; Fluid Flow Machines.

5. Stepanoff; Turboblowers, John Wiley / Chapman & Hall



1 x

2 x x

3 x x x

4 x x

5 x x x

2017-2018



Course Title : Heating Ventilation and Air Conditioning

Course Number : ME 461

Credits : 4


Pre- Requisites : ME 101- Basic Thermal Science, ME 221- Applied

Thermodynamics, ME423- Heat and Mass Transfer


Course Type : Theory

Course Work : Home Assignment 15%

Mid Sem. Examination ( 1 Hour) 25%

: End Sem. Examination (2 Hourss) 60 %

Course Objectives:

At the end of this course, the students

1. Will understand well, the importance of maintaining the thermal environment for human comfort which

ultimately enhances the working efficiency.

2. Will be in a position to understand the necessity of maintaining the temperature and humidity for various

processes in process and pharmaceutical industries.

3. Will become fully aware of the techniques for controlling the contamination of environment which is a must

for modern A C systems.

Course Outcomes:

After taking this course, the student shall be capable of

1. Understanding the need and importance of HVAC, handling of different HVAC systems.

2. Understanding thermal comfort its principles and practices, clothing and activities and their impact on

comfort and productivity

3. Understanding ventilation-its impact on human comfort, productivity and health.

4. Understanding psychrometry and its application to HVAC engineering, design of different HVAC systems.

5. Understanding of air and water/refrigeranr flow in ducts and pipes, duct and piping design, air distribution in

rooms.

6. Understanding control of HVAC systems- automatic and manual, different control systems used.

Syllabus:

Unit 1:

Human Comfort, requirements of comfort, comfort chart applied psychrometrics of air conditioning systems,

components of A.C. System, Central and Unitary A.C. Systems, Industrial and human comfort air conditioning,

Cogeneration of power and refrigeration.

Unit 2:

Heat transmission in buildings, building survey and locations of equipment, considerations for heating and cooling

loads, load calculation procedures

Unit 3:

Air Transmission and distribution systems, fans, pressure losses in ducts and duct sizing methods, Natural supply and

extraction systems of ventilation and their combinations, Selection of Air distributions and extraction systems for

ventilation, Air Cleaners and Scrubbers.

Unit 4:

Fluid distribution System; open loop & close loop, pipe sizing and layout, Hot water and Steam Heating Systems.

Unit 5:

A.C. Controls: Elements of basic control system, pneumatic, electric and electronic control, Thermostats and

humidistat, Building-up of control system, Summer-Winter Changeover, Dampers, freeze protection, sequencing of

operations, Temperature reset based on zone load.

BOOKS:

1. W.F. Stocker & J.w. Jones; Refrigeration & Air Conditioning, McGraw Hills Inc. Intl. Student’s Edition.

2. F.C. Quiston & Jerald J. Parker; HVAC Analysis & Design, John Wiley & Sons.

3. HVAC Systems & Equipment, 1992, ASHRAE Handbook.

4. HVAC Fundamentals, 1993, ASHRAE Handbook.

5. Carrier’s Handbook of A.C. System, Design, Carrier D/c Co.

6. C.P. Arora; Refrigeration and Air Conditioning, Tata McGraw Hill, New Delhi



1 x

2 x x

3 x x x

4 x

5 x x

6 x x

2017-2018

DEPARTMENT OF PETRO CHEMICAL ENGINEERING


Course Title Structure Property Relationship

Course Number : PK-428(E)

Credits : 4





Course Objective

Build-up of fundamental understanding about the properties of polymer

Course Outcomes

1. Build-up of fundamental understanding about the properties of polymer such as (i). Mechanical properties

(ii). Rheological properties (iii). Thermal properties (iv). Chemical properties (v). Electrical properties of

polymers.

2. To develop the understanding about the relationship between the structure and properties of polymer. The

students are expected to understand the effect of various structural factors that affects the properties of

polymers.

3. At the of this course students will be equipped with knowledge to customize the properties of polymer as per

requirement by varying the structural factors.

4. The students will be equipped with knowledge to select the most appropriate polymeric material for a given

application.

Syllabus

Linear, branched, cross linked and other polymer structures, Homochain and heterochain polymers, random,

alternate, block and graft copolymers. Pressure volume temperature (PVT) relationship. Prediction of

polymer properties.

Mechanical and Rheological properties - Stress-strain relationship in polymer. Introduction to modulus,

tensile strength, yield strength, percentage elongation, toughness, creep, fatigue and stress relaxation. Effect

of additives on mechanical properties of polymers. Flow Behaviour of non – Newtonian fluids. Rheological

models like power law, truncated power law, Bird – Carreau model etc. Effect of structure on viscometeric

plot (shear rate vs. true viscosity). Introduction to Rheometers.

Thermal and Chemical Properties – Transition temperature in polymers, glass transition (Tg), melt transition

(Tm), relationship between Tg and Tm. Heat Deflection Temperature (HDT) and its significance. Thermal

characterization techniques like DSC, TGA, etc. Effect of polymer structure on thermal properties of

polymer. Cohesive energy, cohesive energy density, solubility parameter, Prediction of solubility parameter -

Effect of polymer structure on solubility of polymer. Influence of structure in prediction of flame retardancy,

water repellency.

Electrical properties - Effect of polymer structure on dielectric constant, power factor, dissipation factor, and

loss factor - effect of frequency of voltage and temperature on dielectric properties. Effect of additives on

electrical properties of polymers


1. Norbert M. Bikales, “Mechanical Properties of Polymers” Encyclopedia Reprints, Wiley Interscience, New

York , ISBN: 0-471-07234-6.

2. Johan J. Aklonis, William J. Macknights, M. Shen, “Introduction to Polymer Viscoelasticity” Wiley

Interscience, New York , ISBN: 0-471-01860-0.

3. W. Van Krevelen And P.J. Hoftyzen, "Properties Of Polymer , 3rd Edition Elsevier Scientific

PublishingCompany Amsterdam - Oxford - Newyork. 1990.

4. D.A. Seanor, ed., Electrical properties of polymers, Acadamic press, Newyork, 1982.



1 x x x

2 x x x

3 x x x

4 x x x

2017-2018


B. Tech.

Course Title B.Tech. Project Part-I


Credits : 4





Course Objectives

1. An opportunity to apply the acquired knowledge into practical.

2. Ability to get hands on experience and exposure.

3. Ability to acquire writing and presentation skills.

4. Ability for project planning and execution.

Course Outcomes

1. Implement innovative ideas.

2. Prepare good technical project reports.

3. Write technical papers for journals and conferences.

4. Work and show a good team spirit.

Syllabus:




1 x x x x x x

2 x x x x x x

3 x x x

4 x x x x x

2017-2018


B. Tech.

Course Title Project


Credits : 6





Course Objectives

1. An opportunity to apply the acquired knowledge into practical.

2. Ability to get hands on experience and exposure.

3. Ability to acquire writing and presentation skills.

4. Ability for project planning and execution.

Course Outcomes

1. Implement innovative ideas.

2. Prepare good technical project reports.

3. Write technical papers for journals and conferences.

4. Work and show a good team spirit.

Syllabus




1 x x x x x x

2 x x x x x x

3 x x x

4 x x x x x

2017-2018


B. Tech.

Course Title ARTIFICIAL INTELLIGENCE AND NEURAL NETWORKS


Credits : 4


Pre-requisite(s) :



Course Objective

Introduce students to artificial intelligence and neural network concepts and foster their abilities in designing and

implementing solutions for AI problems. Emphasis on intelligent systems - problem solving, logic, reasoning, decision

making, learning, and knowledge representation. The main goal is to achieve a thorough understanding of the

foundations of these paradigms, and also to experiment with their use and practical application in a number of

problems.

Course Outcome


1. Explain underlying AI concepts and its achievements.

2. Understand neural networks and its role in computation for target results and apply it for particular problem

like pattern classification and recognition problems.

3. Discuss problem solving methods and strategies.

4. Develop an ability to write programs for AI problem solutions.

5. Deal with prepositional and predicate logic.

6. Address the basic issues of knowledge representation. Extending it to the understanding of some of the more

advanced topics of AI such as learning, natural language processing, agents and expert systems, and planning.

Incorporation of all these techniques for extending the capabilities of the technologies to more effective and efficient

problem solving methodologies.

Syllabus

UNIT I INTRODUCTION TO ARTIFICIAL INTELLEGENCE

Introduction, Problem Solving, Problem definition as a State Space Search, Production Systems, Control

strategies, Heuristic Search, Basic problem solving method, Search strategies-BFS, DFS, Hill Climbing

etc., Problem Reduction, Mini-Max Search, Alpha-Beta Pruning.

UNIT II PREPOSITIONAL, PREDICATE LOGIC AND KNOWLEDGE REPRESENTATION

Preposition and Predicate Logic, Knowledge representation using predicate logic, Interpretation of

formula in predicate logic, Resolution Principle-conversion to Clausal form, Resolution in predicate

logic, Unification, Resolution Refutation System.

Structure representation of knowledge techniques, Introduction to expert Systems.

UNIT III FUNDAMENTALS OF ARTIFICIAL NEURAL NETWORK

Fundamentals of ANN, Artificial Neuron Vs Biological Neuron, Activation Function, Single layer

ANN, Multi-Layer ANN, Perceptrons, XOR problem.

UNIT IV AI APPLICATIONS AND BACKPROPAGATION

Study of AI Languages such as PROLOG and LISP to design and implement AI Techniques.

Backpropagation, Training Algorithms, Hopfield Networks, Applications-ALVINN, Pattern

Recognition, Handwritten Character Recognition, Travelling Salesman Problem.

Books:

*1. Elaine Rich and Kevin Knight ―Artificial Intelligence‖, Tata McGraw Hill

2. D.W. Patterson ―Artificial Intelligence and Expert Systems‖, PHI Ltd.

*3. N.K. Bose and P. Liang ―Neural Network Fundamentals with Graphs, Algorithms‖, Tata McGraw

Hill.

* Text Book



1 x x x

2 x x

3 x x

4 x x x

5 x x

6 x x

2017-2018


B. Tech.

Course Title INTERNET TOOLS


Credits : 4


Pre-requisites :



Course Objective

1. Basic terminology and concepts of the World Wide Web.

2. Give a sound understanding of the impact the Internet has had on communication.

3. Topics include how to connect to the Internet, how to communicate with others, how to find and share

information productively

4. Introduces the Internet from a user's perspective, with emphasis on productive, professional access.

5. Access information on the Internet and search for, identify, download, decompress and view useful

information using web browsers, search engines, FTP, telnet and other internet tools.

6. Communicate with others asynchronously using electronic mail, attachments, newsgroups and in real time

using chat, talk, video conferencing and other software.

7. Introduction of JAVA, HTML and Databases.

Course Outcome


1. Use the Internet efficiently, productively and professionally.

2. Connect to the Internet, communicate with others, find and share information.

3. Install of INTERNET services, Netscape, Mosaic, create Mail boxes.

4. Use JAVA , HTML and Database to create basic web pages.

Syllabus

UNIT I. Retrieving Files Via E-mail: Archive Servers, FTP by Mail Services, E-mail, FTP, Basic Commands, Use

Net News.

Telnet Publishing Accessible Library Hytelnet. Database Directories. Databases and other Resources.

UNIT II. Internet: Origin, history, growth and significance, Basic operations on web surfing and downloading, Internet

Tools, Finger, Ping, Talk.

UNIT III. JAVA & HTML Language, Designing web pages, Electronic Journals. Clarinet News, BUNYIP information

Services Commercial Databases, On Line Services.

UNIT IV. Installation of INTERNET services, WWW browser like Netscape, Mosaic, e-mail installation including

creating Mail boxes, future trends.

Books :

*1. Comer, D: ―Internetworking with TCP/IP‖, PHI, 1997. Vol. I, II & III.

2. Breudans P.Kehoe: Zen and Art of Internet-A Beginner‘s Guide: PTR Prentice Hall (1994).

3. H.M. Deital: ―Java How to Program‖, McGraw Hill, 1998.

4. Rennie: CC: ―Mail Plain & Simple‖, Ist Ed., B.P.B., 1992.

* Text Book




1 x x

2 x x x

3 x x

4 x x

2017-2018


B. Tech.

Course Title Image Processing


Credits : 4


Pre-requisite(s) :



Course Objectives

The primary objective of this course is to introduce basic principles of digital images, image data structures, and image

processing algorithms.

Course Outcomes


1. Understand the basic fundamental of digital image processing

2. Cover the essential theory and algorithms that are usually used in image processing

3. Apply image processing techniques in both the spatial and frequency domains

4. Expose technologies and issues that are specific to image processing systems

5. Develop hands-on experience in using computers to process images

6. Write image processing programs in a high-level language such as C++, Java, Matlab

7. Perform image manipulations and analysis in many different fields

8. Develop significant thoughts about lacks of the modern in image processing

Syllabus

UNIT I FUNDAMENTAL OF IMAGE PROCESSING

Basic Image Models and Definitions, image perception, image representation, operations, perspective

transformation; Image Transformation: 2-D Fourier Transform and spectral analysis, Discrete Cosine

Transform, Discrete Wavelet Transform

UNIT II IMAGE ENHANCEMENT & COMPRESSION

Image enhancement: histogram processing, spatial-filtering, frequency-domain filtering; image restoration:

linear degradation model, inverse filtering, Wiener filtering; image compression: lossy and lossless

compression, entropy coding, transform coding, subband coding, image compression standards

UNIT III IMAGE SEGMENTATION, REPRESENTATION & ANALYSIS

Derivative of Gaussian, Line & Canny edge detection, Edge linking & boundary detection, Border Tracing,

Region based segmentation, , Image representation Schemes: AR, MA and ARMA representation, Image

decomposition, Feature extraction, Image texture analysis

UNIT IV ADVANCED TOPICS IN IMAGE PROCESSING

Morphological image processing: binary morphology- erosion, dilation, opening and closing operations,

applications; Basic gray-scale morphology operations; color models and color image processing, Case

Studies and experimentation


Books:

1. *Rafael C. Gonzalez and Richard E. Woods, ―Digital Image Processing‖, 3/E, Prentice Hall Publisher, 2008.

2. Maria Petrou and Costas Petrou, ―Image Processing The Fundamentals‖, Second Edition, John Wiley & Sons

Ltd, 2010.

3. Dwayne Philips, ―Image Processing in C‖, Second Edition, R & D Publication, Electronic Edition, 2000.

*Text Book



1 x x x

2 x x x

3 x x

4 x x x

5 x x

6 x x x

7 x x x

8 x x x

2017-2018


B. Tech.

Course Title INFORMATION TECHNOLOGY


Credits : 4


Pre-requisite(s) :



Course Objective

The objective of this course is to have students learn the importance of information system, information privacy and

security and also identify trends in the world of IT; Interacting with computer systems and cultivate skills in

development and implementation of information system.

Course Outcome


1. Define Information, its need and quality value.

2. Understand the basic concepts and technologies used in the field of information systems.

3. Describe how information technology is used in business and the trends of the technologies.

4. Use various input and output devices of computer systems.

5. Analyze performance of drives and its interface standards.

6. Do system analysis.

7. Explain the need of information security and various techniques for the same.

8. Use current techniques, skills and tools necessary for computing practice.

SYLLABUS:

UNIT I INTRODUCTION

Information concepts and processing, definition of Information, need of Information. Quality, value,

concept of Information, Categories and levels of information, Introduction to Information Technology,

Technological convergence, developments in Comp. & Communication technology. Practical uses of

communication & connectivity.

UNIT II INTERACTING WITH THE COMPUTER Standard methods of input, Alternative methods of input, Optical I/p devices, Output devices-Monitors,

Sound systems, Printers & Plotters, CPU's used in personal computers, Types of storage devices –

Magnetic & Optical storage devices. Measuring drive performance, drive interface standards.

UNIT III DESIGN AND ANALYSIS OF INFORMATION SYSTEM System planning, Approaches to system planning. Role of a system Analyst, File design – Type of file,

file structure & organization, structure method, design considerations, Management Information

Systems.

UNIT IV INTERNET

Principles of data security, Maintenance and troubleshooting, security concepts, security software,

Failure & recovery, security on the Internet or Network, Viruses & the Internet, Firewall, Web

Techniques: WAP, ASP, Sampling.

UNIT V APPLICATIONS OF INFORMATION TECHNOLOGY Introduction to information representation in digital Media, Graphics, Animation, audio, video,

Introduction to JPEG, MPEG, Office Automation, CAD, Business data processing, Scientific

computations, Application packages, Use of computers in Entertainment and Education, Multimedia,

Multilingual Applications, Railway Reservation Systems, E-Commerce, Major IT Projects in India, E-

governance, Nicnet, Ernet.

REFERENCE:

*1. Peter Norton's "Introduction to Computers.", Tata Mc Graw Hill 2001.

2. J. Kanter, "Management Information Systems", Prentice Hall, 1995.

3. Curtin, Foley, Sen, Morin "Information Technology – The breaking wave".

Tata Mc Graw Hill 1999.

* Text Book



1 x x

2 x x

3 x

4 x

5 x x

6 x

7 x

8 x

2017-2018


B. Tech.

Course Title ADVANCED MICROPROCESSOR SYSTEMS AND DESIGN


Credits : 4


Pre-requisite(s) :



Course Objective

This course aims to develop background knowledge as well as core expertise in microprocessor and microcontroller.

Topics covered are 16 bit microprocessors, 32 bit microprocessors and some modern microprocessors.

Course Outcome

Students will be able to

1. Explain the concepts and basic architecture of 8086 family.

2. Understand the differences between 16 bit and 32 bit microprocessors.

3. Write assembly language program in 8086 for various application.

4. Explain the use of a memory hierarchy to reduce effective memory access times.

5. Discuss the problems of using caches in a multiprocessor environment, know the operation of several cache

coherency protocols and be able to predict the bus traffic given a sequence of CPU "memory" accesses.

6. Know about the different computer architectures SISD, MISD, SIMD, MIMD.

7. Design new microprocessor based systems.

Syllabus:

UNIT I 16 BIT MICROPROCESSOR

Introduction to 16 bit microprocessors-the 8086 family; 8086 architecture, instruction set, simple

programming examples, interrupts and interfacing; 8086 architecture, addressing modes, memory

management, protection mechanisms and interrupt handling.

UNIT II 32 BIT MICROPROCESSOR SYSTEMS

Introduction to 32 bit microprocessors, architectures-conventional, unconventional, memory and

storage devices; communications interfaces; software options and development systems,

applications.

UNIT III INTRODUCTION TO ARCHITECTURES

Conventional computer architectures-the Von Neumann architectures, alternative computer

architectures-Dataflow architectures, SIMD, MIMD, Classifications-control flow program

organization, Dataflow program organization, reduction program organization, Machine

organization-centralized, packet communication, expression manipulation, Multiprocessing systems;

systolic and wavefront arrays, pipelines, cache memory inter leaving, virtual memory management,

extended processing sets, reduced instruction set computers, High integrity processors, digital signal

processing chips-Harvard architecture, Hypercube architectures for supercomputers.

UNIT IV SURVEY OF ADVANCED MICROPROCESSORS

Survey of advanced microprocessors like MC68020, Z80000, Intel 80386, Inmos T414, Am29300,

NCR/32-000, Fairchild clipper and TMS 34010 Graphics system processor.

BOOKS:

*1. Yu-Ching liu and G.A. Gikson ―Microcomputer Systems; The 8086/8088 Family‖, Prentice

Hall,1994.

2. Ed. Titus and Laurson, ―16-bit Microprocessors‘, Howard & Co., 1995.

*3. A.P. Mathur, ―Introduction to Microprocessors‖ , McGraw Hill, 1996.

*Text Book



1 x x x x

2 x

3 x

4 x

5 x

6 x x x

7 x x x x

2017-2018


B. Tech.

Course Title PATTERN RECOGNITION AND COMPUTER VISION


Credits : 4


Prerequisites :



Course Objective

1. introduce basic concepts of Pattern recognition

2. present various feature extraction and classification methods

3. Illustrate the fundamental concepts, theories, and algorithms for pattern recognition and machine learning,

which are used in computer vision.

4. Illustrate different pre and post image processing Techniques and Transformations.

5. Introduction to Bayesian decision theory, Feed Forward Neural Nets and Recurrent Networks, nearest

neighbor indexing and hashing and some transformation techniques.

Course Outcome


1. Explain basic theories and techniques in computer vision and pattern recognition

2. Identify various approaches of computer vision and pattern recognition and design the components of the

systems for computer vision and pattern recognition

3. Describe and discuss the basic functions and methods for image processing.

4. Design simple systems for computer vision and pattern recognition which can handle certain problem.

5. Gain skills in evaluating, experimenting with, and optimizing the performance of the systems for computer

vision and pattern recognition

Syllabus

UNIT I. Introduction to Pattern Recognition and concept learning from examples, Features, Feature spaces, Pattern

classes / concepts, Decision Regions and decision boundaries, Bay‘s decision theory.

UNIT II. Maximum likelihood estimation, Supervised learning in Feed Forward Neural Nets and Recurrent Networks

Unsupervised learning – Self – organizing feature extraction. Adaptation rename theory, Theory of feature

mapping, Application to character and image pattern recognition.

UNIT III. Image formation and image acquisition, Edge deletion, Image segmentation and feature extraction, Hough

transform, Reflections map, Photometric stereo, shape for shading, Extended Gaussian image, Shape from

contours, Stereo vision – Imaging geometries, Camera calibration, matching and interpolation Range image

analysis techniques.

UNIT IV. Motion field and Optical Flow, Structure from motion, Image sequence analysis, Shape descriptions and

recognition of 2 – D and 3 – D objects, Applications – Inspection systems, Document image understanding.

BOOKS:

*1 T. Mitchall, ―machine Learning‖, Tata McGraw Hill, 1997.

2 Fukunaga K. ―Introduction to Statistical Pattern Recognition‖, (2nd

edition), Academic Press, Boston,

1990.

* Text Book




1 x

2 x x

3 x x

4 x x x x

5 x x x

2017-2018


B. Tech.

Course Title VLSI DESIGN TOOLS & TECHNIQUES


Credits : 4




Course Objective

This course is designed to teach students the theory of VLSI, the logic and the implementation of modules required for

digital systems. The course will also discuss the industry specifications for the digital integrated circuits and using it

for building digital systems. It includes the description and the structure of various fundamental components of digital

systems like logic gates, memory cells, interfacing units etc.

Course Outcome

Upon successful completion of this course, students should be able to:

1. Understand the functionality of logic gates and simplifying digital circuits.

2. Explain the structure and fundamental components of VLSI design.

3. Demonstrate a clear understanding of important concepts in Logic Gate Design, Combinational Logic

Network, Layout Design Methods, and Standard Cell Layout Design.

4. Design an IC of any given arbitrary logic function at the transistor-level.

5. Design and explain of different types of digital component: Adder, Multiplier etc.

6. Describe the fundamental architecture of physical design portioning system level, board level and chip level.

Syllabus

UNIT I Introduction to VLSI Design; ― Design Abstraction, Design Hierarchy, Design Flow, Tools foe VLSI

Design, Introduction to VLSI Technology, Layout Design Rules, Stick Diagram, Transistor

Parasitic, Wires and Vias‖.

UNIT II Logic Gate Design, Combinational Logic Network, Layout Design Methods, Standard Cell Layout

Design, Combinational network Delays, Power Optimization, Sequential machines, Sequential

system and Clocking Disciplines, Sequential System Design, design Validation.

UNIT III Subsystem Design, Adder, Multiplier, Graph Algorithms for Physical Design – Classes of Graph in

Physical Design, Graph Problems in Physical Design, Algorithm For interval Graphs.

UNIT IV Physical Design – Partitioning- System level, board level and chip level Partitioning Floorplanning

Methods, Block Placement, Routing- Global Routing and Detailed Routing.

BOOKS:

*1. Wayne Wolf, Modern VLSI Design System on Silicon, Second edition ―PHI‖.

2. N Sherwani Algorithm for VLSI Design Automation ―Springer‖.

3. Sabih H Gerez, Algorithm for VLSI Design Automation ―J Wiley‖.

* Text Book



1 x x x

2 x x x x

3 x x

4 x x

5 x x x

6 x x x

2017-2018


B. Tech.

Course Title NETWORK SECURITY


Credits : 4


Pre-requisite(s) :



Course Objective

To develop an understanding of information assurance as practiced in computer operating systems, distributed

systems, networks and representative applications. Develop a basic understanding of cryptography, how it has

evolved, and some key encryption techniques used today. Develop an understanding of security policies (such as

authentication, integrity and confidentiality), as well as protocols to implement such policies in the form of message

exchanges.

Course Outcome

After completion of this course, the student shall be able to:

1. Describe computer and network security fundamental concepts and principles.

2. Describe the inner-workings of popular encryption algorithms, digital signatures, certificates and anti-

cracking techniques.

3. Demonstrate the ability to select among available network security technology and protocols such as IDS,

IPS, firewalls, VPNs etc.

4. Describe Operating system security models E.g. UNIX, LINUX WINDOWS security and methods for web

application and database security.

5. Identify ethical, professional responsibilities, risks and liabilities in computer and network environment, and

best practices to write a security policy.

Syllabus

UNIT I CONVENTIONAL ENCRYPTION:

Conventional Encryption: Classical and Modern Techniques, DES, AES, Contemporary Symmetric

Ciphers, Public-Key Cryptography RSA, Key Management Deffie-Hellman Key exchange algorithm.

UNIT II PUBLIC-KEY ENCRYPTION & HASH FUNCTIONS:

Elliptic Curve Cryptography, Message Authentication and Hash Functions, Security of hash functions,

Digital Signatures.

UNIT III NETWORK SECURITY FOUNDATIONS:

Network Security overview, Security Methodology, Risk Analysis, Defense models: Lollipop, Onion

Model, Sample Security Policy Topics, Security Organization, Security Audit, Physical Security,

Authentication and authorization Controls.

UNIT IV NETWORK ARCHITECTURE AND OPERATING SYSTEM SECURITY:

Network Design Consideration: Design, performance, Availability, Network Device security, Firewalls,

VPN, Wireless network security, IDS, Network role based security: E-mail, DNS etc. Operating system

security models, CASE: UNIX, LINUX WINDOWS security. Web Application security, Regular

Application security, writing secure software, Database security.

Books

Stallings, W. Cryptography and Network Security, Principles and Practice, 3rd

edition, Prentice Hall, 2002.

Network Security The Complete Reference, TATA McGraw Hill Publication., 2004

Tanenbaum, A.S., Computer Networks, 4th

edition, prentice Hall

Stinson, D., Cryptography. Theory and practice, 2nd

edition, CRC Press

Network Security Private Communication in Public World, C. Kaufman, R. Perlman, M. Spicier, 2nd

edition PHI.



1 x

2 x x

3 x

4 x x

5 x

2017-2018


B. Tech.

Course Title INTERNET PROTOCOLS


Credits : 4


Pre-requisites : CO-313



Course Objective

1. To learn how the Internet is structured into layers and the various protocols at each layer with emphasis on

the transport and application layers.

2. To explores the development of TCP/IP applications and their associated protocols. It utilizes hands-on

programming and makes use of network monitoring tools. It includes detailed coverage of TCP, UDP, HTTP,

FTP, and SMTP protocols.

3. To master the development of client-server Internet applications using the sockets and other higher-level

APIs.

Course Outcome


1. Demonstrate understanding of the TCP/IP model and relevant protocols in each layer.

2. Describe the IP addressing, Internet domain names and recognize the role of the DNS servers.

3. Explain the operation and related issues of various common Internet applications and protocols including:

HTTP, SMTP, POP, FTP, Telnet, IGMP, etc.

4. Identify and apply various socket programming concepts and mechanisms.

5. Use effectively the socket interface to develop Client-Server Internet applications.

6. Practice software engineering principles and methods in building network-aware applications.

Syllabus

UNIT-I INTRODUCTION

Internet Architecture, Addresses IPV4 & IPV6,IP, BOOTP,ICMP

UNIT-II TCP & UDP

TCP: Connections, Flow Control, Segment Format, Retransmission, TCP state

machine, Other features

UDP: Format checksum computation, UDP multiplexing and other features

UNIT-III MAJOR PROTOCOLS

GGP EGP, RIP, OSPF, HELLO, IGMP , SNMP, Telnet DHCP, WAP

UNIT-IV SOCKET PROGRAMMING AND APPLICATIONS.

Internet programming.

Unix System Calls.

Socket Programming, Introduction to Web server & search engine.

Introduction to Internet Languages like Java & HTML.

Books:

1. Internetworking with TCP/IP (Vol. I) by Douglas E. Comer PHI

2. Computer Networks by A. S. Tannenbaum PHI

3. Unix Network Programming by W.R. Stevens. PHI

4. TCP/IP Protocol Suite by Forouzan B. A TMH




1 x x

2 x

3 x

4 x x x

5 x x x

6 x

2017-2018


B. Tech.

Course Title Multimedia Technologies


Credits : 4


Pre-requisite(s) :



Course Objectives

The primary objective of this course is to introduce basic principles of multimedia, image data structures, and

multimedia technologies.

Course Outcomes


1. Understand the basic fundamental of multimedia

2. Cover the essential theory and algorithms that are usually used in multimedia

3. Apply multimedia techniques

4. Expose technologies and issues that are specific to multimedia

5. Develop hands-on experience in using computers to process images

6. Perform audio and video compression

7. Develop significant thoughts about lacks of the modern in streaming multimedia

Syllabus

UNIT I INTRODUCTORY CONCEPTS

Definition of ‗multimedia‘, Multimedia systems, and components, Multimedia applications, Digitization

principles for text, images, audio and video, Basic compression principles, Text compression, Repetition

suppression, Statistical Encoding Dictionary Modeling, Image formats & representation schemes, colour

schemes, Image compression principal

UNIT III AUDIO COMPRESSION

Audio compression techniques, Sub-band coding, DPCM, Adaptive Sub-Band Coding, Predictive

Coding, CELP Coding Perceptual Coding, Voice Recognition , Types of voice recognition systems,

Voice recognition performance

UNIT IV VIDEO COMPRESSION

Fundamentals of video compression, temporal redundancy, spatial redundancy, Frame Types, Motion

estimation and compensation, Overview of some video coding standards

UNIT V STREAMING MULTIMEDIA

Principles of streaming multimedia, Scalability, Streaming Servers, Streaming Protocols, QoS

parameters, Timing relationships in networked multimedia, transcoders

BOOKS

*1. ―Multimedia Communications-Applications, Networks, Protocols & Standards‖, Fred Halsall, Pearson

Education.

2. Introduction to Data Compression, Khalid Sayood, Elsevier, 2nd

Edition, 2005

3. Information Theory Coding and Cryptography, Ranjan Bose, Tata McGraw-Hill, 3rd

Reprint, 2004.

3. Fundamentals of Multimedia, Ze-Nain Li, Mark S. Drew, Pearson Eductation, Indian Reprint, 2005.

4. Principles of Multimedia, Ranjan parekh, Tata McGraw-Hill, 1st Reprint, 2006.

* Text Book



1 x x x

2 x x x

3 x x

4 x x x

5 x x

6 x x x

7 x x x

2017-2018


B. Tech.

Course Title ARTIFICIAL INTELLIGENCE & SOFT COMPUTING


Credits : 4


Pre-requisite(s) :



Course Objective

Introduce students to artificial intelligence and soft computing concepts and techniques and foster their abilities in

designing and implementing solutions for real-world problems. Emphasis on intelligent systems - problem solving,

reasoning, decision making, learning, logical foundation. The main goal is to achieve a thorough understanding of the

foundations of these paradigms, and also to experiment with their use and practical application in a number of

problems.

Course Outcome


1. Explain underlying AI concepts and its achievements.

2. Develop an ability to write programs for AI problem solutions.

3. Address the basic issues of knowledge representation Extending it to the understanding of some of the more

advanced topics of AI such as learning, natural language processing, agents and expert systems, and planning.

4. Describe soft computing techniques and their roles in making intelligent machines and applying it for a

particular problem.

5. Define fuzzy logic and reasoning to handle uncertainty.

6. Apply genetic algorithms to combinatorial optimization problems.

7. Understand neural networks concepts and apply for pattern classification and regression problems.

Syllabus

UNIT I INTRODUCTION TO ARTIFICIAL INTELLEGENCE

Introduction, Problem Solving, Problem definition as a State Space Search, Production Systems,

Heuristic Search, Search strategies-BFS, DFS etc., Mini-Max Search, Alpha-Beta Pruning.

UNIT II KNOWLEDGE PRESENTATION AND EXPERT SYSTEMS

Preposition and Predicate Logic, Knowledge representation using predicate logic, Interpretation of

formula in predicate logic, Resolution Principle, Resolution in predicate logic, Unification, Structured

Knowledge representation, Introduction to expert System, Intelligence Agents

UNIT III SOFT COMPUTING AND ARTIFICIAL NEURAL NETWORK

Soft Computing Techniques-an Overview, Fuzzy Sets and Fuzzy Logic: Basic Definitions and

Terminology, Fuzzy Decision Making, Rough Sets, Applications in Knowledge Discovery.

Fundamentals of ANN, Neuron Networks Architecture, Perceptrons, Backpropagation, Self Organizing

Maps (SOM), Applications in Image Processing.

UNIT IV EVOLUTIONARY COMPUTATION

Introduction, Evolution Techniques-Inherent Features, Genetic Algorithms Evolutionary Programming,

Swarm Intelligence, Applications in Optimization Problems.

Books:

1. Elaine Rich and Kevin Knight ―Artificial Intelligence‖, Tata McGraw Hill

2. Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and Applications, S. Rajasekaran

and G.A. Vijayalakshmi pai, Prentic Hall India

3. D.W. Patterson ―Artificial Intelligence and Expert Systems‖, PHI Ltd.

* Text Book



1 x

2 x x

3 x x x

4 x x

5 x x

6 x x

7 x x x

2017-2018


B. Tech.

Course Title Software Testing


Credits : 4




Course Objective

Course Outcome

On successful completion of this course, students will be able to:

1. Characterise real-time systems and describe their functions 2. Understand Real Time System requirement, design, and performance analysis

3. Apply formal methods to the analysis and design of real-time systems

Syllabus

Unit 1: Introduction to real time system, Issues in real-time computing. A basic model of a Real-Time

system. Types of Real Time Systems. Timing Constraints. Classification of Timing Constraints. Modeling

Timing Constraints. Hard and soft real time systems.

Unit 2: Real-Time Task Scheduling. Types of Real-Time tasks and their characteristics. Different Task

Scheduling algorithms

Unit3: Handling Resource sharing and dependencies among real-time tasks. Features of Real-Time

Operating Systems. Real-Time Communications. Real-Time Databases..

Unit 4: Computer Controlled Systems. Real-Time Control. Discrete PID Controller. Fuzzy Controller. Real-

Time modeling and case studies.

BOOKS:

References

1.R.Mall, Real Time Systems: Theory and Practice, Pearson Education,2007.

2.C.M.Krishna and K.G.Shin, Real Time Systems, Tata McGraw Hill,2010.

3.Jane Liu, Real Time Systems, Pearson Education, 2000

2017-2018

2017-2018


B. Tech.

Course Title Big Data Analytics


Credits : 4




Course Objective The purpose of this course is to introduce the students with big data storage systems and important

algorithms that form the basis of big data processing. The course also introduces the students with major application

areas of big data analytics.

Course Outcome On successful completion of this course, students will be able to:

1. Understand the concept and challenges of big data

2. Explain the basics of big data storage systems

3. Explain the various algorithms used for big data processing.

4. Describe and use the large-scale analytics tools available to solve big data problems

5. Describe the major application areas of big data.

Syllabus

Unit 1: Introduction to big data: introduction to big data, the four dimensions of big data,:- volume, velocity, variety,

veracity, drivers for big data, introducing the storage, query stack, revisit useful technologies and concepts, real-time

big data analytics

Unit 2: Distributed file systems: Hadoop Distributed File System, Google File System, Data Consistency, Distributed

Hash-table, Key-value Storage Model, Document Storage Model, Graph Storage Models

Unit3: Scalable algorithms:- Mining large graphs, with focus on social networks and web graphs, Centrality,

similarity, all-distance sketches, community detection, link analysis, spectral techniques. Map-reduce, Pig Latin, and

NoSQL, Algorithms for detecting similar items. Recommendation systems, Data stream analysis algorithms,

Clustering algorithms, Detecting frequent items.

Unit 4: Big Data Applications/ Issues: Advertising on the web, web page quality ranking, mining social-networking

group, human interaction with big-data. Privacy, Visualization, Compliance and Security, Structured vs Unstructured

Data.

BOOKS:

1. Mining of massive datasets, Anand Rajaraman, Jure Leskovec and Jeffrey Ullman, 2014.

2 An introduction to information retrieval, Christopher D. Manning, Prabhakar Rahgavan, Hinrich Schutze,

2009

3 Data-Intensive Text Processing with MapReduce, Jimmy Lin and Chris Dyer, 2010.

2017-2018


B. Tech.

Course Title Cloud Computing


Credits : 4




Course Objective This course will cover the study of various algorithms involved in better implementing the

cloud-based systems starting through fundamentals of deployment.


1. Learn algorithms involved in better implementing the cloud-based systems.

2. Learn the fundamentals of deployment in cloud computing.

3. Be able to develop application in cloud environment.

Syllabus

Unit 1: Introduction: Distributed Computing and Enabling Technologies, Cloud Fundamentals: Cloud

Definition, Evolution, Architecture, Applications, deployment models, and service models.

Unit 2: Virtualization: Issues with virtualization, virtualization technologies and architectures, Internals of

virtual machine monitors/hypervisors, virtualization of data centers, and Issues with Multi-tenancy.

Unit3: Interoperability and Service Monitoring: Issues with interoperability, Vendor lock-in, Interoperability

approaches. SLA Management, Metering Issues, and Report generation. Resource Management and

Load Balancing: Distributed Management of Virtual Infrastructures, Server consolidation, Dynamic

provisioning and resource management, Resource Optimization, Resource dynamic reconfiguration,

Scheduling Techniques for Advance Reservation, Capacity Management to meet

Unit 4: Migration and Fault Tolerance: Broad Aspects of Migration into Cloud, Migration of virtual Machines

and techniques. Fault Tolerance Mechanisms, Security, Advances: Grid of Clouds, Green Cloud, Mobile

Cloud Computing.

BOOKS:

1. Cloud Computing Principles and Paradigms, Rajkumar Buyya, James Broberg, Andrzej

Goscinski, Wiley Publishers, 2011.

2. Cloud Computing Bible, Barrie Sosinsky, Wiley Publishers, 2010.

3. Mastering Cloud computing, Rajkumar Buyya, Christian Vacchiola, S Thamarai Selvi, McGraw

Hill, 2013.

2017-2018


B. Tech.

Course Title Principles of Cyber Physical Systems


Credits : 4


Pre-requisite(s) : CO – 309



Course Objective This course aims to develop an understanding of the underlying principles behind integration of

computation (software), networking, and physical processes to design useful engineering systems. It primarily deals

with effective orchestration of software and physical processes.


1. Understand the significance of the integration of computation with the physical process.

2. Build high confidence systems with real-time and concurrent behaviors.

3. Analyze computational systems that interact with physical processes.

4. Design useful applications of cyber physical systems.

Syllabus

Unit 1: Foundations of Cyber Physical Systems, Modeling Dynamic Behaviours, Continuous Dynamics:

Properties of Systems, Feedback Control, Discrete Dynamics: The notion of state, Finite-State

Machines, Extended State Machines, Hybrid Systems, Composition of State Machine, Concurrent

Models of Computation.

Unit 2: Models of sensors and actuators, Common Sensors, actuators, Embedded Processors, Types of

Processor, Parallelism, Memory Technologies,

Unit 3: Input and Output, Real-Time Task Scheduling. Types of Real-Time tasks and their characteristics.

Multitasking, Different Task Scheduling algorithms

Unit 4: Analysis and verification: Invariants and temporal logic, Equivalence and refinement, reachability

analysis and model checking, Quantitative analysis, Security and Privacy, applications of Cyber

Physical Systems

BOOKS:

1. E. A. Lee and S. A. Seshia, Introduction to Embedded Systems - A Cyber-Physical Systems Approach,

Second Edition, MIT Press, 2017.

2. R.Mall, Real Time Systems: Theory and Practice, Pearson Education,2007.

3. Hermann Kopetz and Gunther Bauer, The Time-Triggered Architecture, Proceedings of the IEEE 91(1):

112 - 126, 2013.

4. Edward A. Lee. Cyber-Physical Systems: Design Challenges. IRORC 2008.



1 x x x x

2 x x x

3 x x x

4 x x x

2017-2018


B. Tech.

Course Title Principles of Machine Learning


Credits : 4


Pre-requisite(s) : AM – 261, AM – 262 Contact Hours (L-T-P) : 3-1-0


Course Objective

The objective of this course is to introduce concepts, techniques, and algorithms in machine learning. The course will

give the student the basic ideas and intuition behind modern machine learning methods as well as formal

understanding of how, why, and when they work

Course Outcome At the end of this course, the student can be expected to:

1. Define what is machine learning and its application.

2. Comprehend various supervised learning algorithms and be able to select feature sets and detect anomalies in

the algorithm. 3. Explain unsupervised learning algorithms and reinforcement learning techniques. 4. Be familiar with various advance topics of machine learning and their case studies.

Syllabus

UNIT 1: INTRODUCTION

Introduction to Machine Learning, Application, Recent Development, Classification of Machine

learning algorithms

UNIT 2: SUPERVISED LEARNING

Supervised learning, Linear and Logistic regression, Neural Network, Back Propagation Algorithm,

Generative learning algorithms, Gaussian discriminant analysis, Naive Bayes, Support vector

machines, Model selection and feature selection, Ensemble methods: Bagging, boosting, Evaluating and

debugging learning algorithms.

UNIT 3: UNSUPERVISED LEARNING & REINFORCEMENT LEARNING

Clustering, K-means, Mixture of Gaussians, Factor analysis, PCA (Principal components analysis), ICA

(Independent components analysis), Markov Decision Process, Value iteration and policy iteration,

Linear quadratic regulation (LQR), Q-learning, Value function approximation, Policy search.

UNIT 4: ADVANCE TOPICS

Introduction to Deep learning, Graphical Model, Case Studies-Application to Computer Vision, Big

Data

BOOKS:

2. Machine Learning: A Probabilistic Perspective. Kevin Murphy. MIT Press, 2012.

3. Pattern Recognition and Machine Learning. Christopher Bishop. First Edition, Springer, 2006.

4. Pattern Classification. Richard Duda, Peter Hart and David Stock. Second Edition, Wiley-Interscience, 2000.

5. Machine Learning. Tom Mitchell. First Edition, McGraw-Hill, 1997

http://www.cs.ubc.ca/~murphyk/MLbook

syllabi - aligarh muslim university b.tech. (computer engineering) revised with effect from 2017-18...

Documents