sona college of technology, salem (an autonomous institution) … · 2019. 11. 15. · beam...

17.06.2019 Regulations-2019

Sona College of Technology, Salem

(An Autonomous Institution)

Courses of Study for ME I Semester under Regulations 2019

Civil Engineering

Branch: Structural Engineering

S. No Course Code Course Title Lecture Tutorial Practical Credit

Theory

1 P19STR101 Applied Mathematics 3 1 0 4

2 P19STR102 Theory of Elasticity and Plasticity 3 1 0 4

3 P19STR504 Elective-Stability of Structures 3 0 0 3

4 P19STR510 Elective-Advanced Design of Concrete Structures 3 0 0 3

5 P19GE101 Research Methodology and IPR 2 0 0 2

6 P19GE701 Audit Course-English for Research Paper Writing 2 0 0 0

Practical

7 P19STR103 Structural Engineering Laboratory 0 0 4 2

Total Credits 18

Approved by

Chairperson, Civil Engineering BOS Member Secretary, Academic Council Chairperson, Academic Council & Principal

Dr.R.Malathy Dr.R.Shivakumar Dr.S.R.R.Senthil Kumar

Copy to:-

HOD/Civil, First Semester ME STR Students and Staff, COE


P19STR101 FINITE ELEMENT ANALYSIS 3 1 0 4

COURSE OUTCOMES

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

CO1 Discuss the displacement models to solve practical problems in Structural engineering.

CO2 Apply numerical techniques of finite element analysis to solve real time problems.

CO3 Manipulate the shape function and interpolation function to study structural behaviour.

CO4 Implement linear and quadratic elements in the finite element analysis of various types of

structures.

CO5 Predict structural behaviour using strain displacement matrix and element stiffness matrix.

UNIT-I: INDRODUCTION 12

Differential equilibrium equations - Strain displacement relation - Linear constitutive relation - Special

cases - Principle of stationary potential energy - Application to finite element methods. Some numerical

techniques in finite element analysis.

UNIT –II: DISPLACEMET MODELS 12

Displacement models - Convergence requirements. Natural coordinate systems - Shape function.

Interpolation function - Linear and quadratic elements - Lagrange and Serendipity elements - Strain

displacement matrix - Element stiffness matrix and nodal load vector.

UNIT –III: ISOPARAMETRIC ELEMENTS 12

Two dimensional isoparametric elements - Four noded quadrilateral elements - Triangular elements -

Computation of stiffness matrix for isoparametric elements - Numerical integration (Gauss quadrature) -

Convergence criteria for isoparametric elements.

UNIT –IV: APPLICATIONS OF FEM 12

Assemblage of elements – Direct stiffness method - Special characteristics of stiffness matrix - Boundary

condition and reaction - Gauss elimination and LDLT decomposition - Basic steps in finite element

analysis.

UNIT –V: ANALYSIS OF STRUCTURES 12

Analysis of framed Structures - 2D truss element - 2D beam element. Analysis of plate bending: Basic

theory of plate bending - Displacement functions - plate bending Elements. Plane stress and plane strain

analysis: Triangular elements - Rectangular elements.

Total:60 hrs.

REFERENCE BOOKS:

1. Bhavikatti.S.S, “Finite Element Analysis”, New Age International Publishers, 2015.

2. Chandrupatla, R.T. and Belegundu, A.D., “Introduction to Finite Elements in Engineering”, Prentice

Hall of India, 2011.

3. Rao.S.S, “Finite Element Method in Engineering”, Butterworth – Heinmann, UK, 2008.

4. Logan D. L., A First Course in the Finite Element Method, Cengage Learning, 2015.

5. R.D.Cook, Concepts and Applications of Finite Element Analysis, John Wiley &Sons, 2011.


P19STR102 THEORY OF ELASTICITY AND PLASTICITY 3 1 0 4

COURSE OUTCOMES


CO1 Explain the concept of stress and strain and their relationships

CO2 Analyze the two dimensional problems in Cartesian and polar coordinates

CO3 Apply the concept of torsion to Prismatic bars of different sections

CO4 Solve simple problems of elasticity and plasticity understanding the basic concepts.

CO5 Apply numerical methods to solve continuum problems.

UNIT-I: ANALYSIS OF STRESS AND STRAIN IN CARTESIAN COORDINATES 12

Displacement, Analysis of stress (two and three dimension)- Body force, surface force - Uniform state of

stress – Principal stresses - stress transformation laws - Differential equations of equilibrium. Analysis of

strain (two and three dimension) Strain displacement relations - Compatibility equations - state of strain

at a point – strain transformation - principal strain - principle of superposition. Stress-strain relations -

generalized Hooke's law - Lame's constants, Boundary value problems

UNIT –II: TWO DIMENSIONAL PROBLEMS OF ELASTICITY IN CARTESIAN

COORDINATES 12

Plane stress and Plane strain problems - Airy's stress function - Polynomials – Direct method of

determining Airy's polynomial stress function - Solution of Biharmonic equation by fourier series - St.

Venant principle.

UNIT –III: TWO DIMENSIONAL PROBLEMS IN POLAR COORDINATES 12

General equations in polar coordinates - Stress distribution symmetrical about an axis - Pure bending of

curved bars - Strain components in polar coordinates - Displacements for symmetrical stress distribution

- Rotating Disc - Bending of a curved bar by force at the end

UNIT –IV: TORSION OF PRISMATIC BARS 12

General solutions of the problem by displacement (St. Venant's warping function) and force (Prandtl's

stress function) approaches - Membrane analogy-Torsion of shafts of circular and noncircular (elliptic,

triangular and rectangular) cross sectional shapes. Torsion of hollow thin walled single and multicelled

sections.

UNIT –V: PLASTIC DEFORMATION 12

Introduction to stress-strain curve - Ideal plastic body - Criterion of yielding - Rankine's theory -

St.Venant's theory - Tresca's criterion - Beltramis theory - Von-mises criterion - Mohr's theory of

yielding - yield surface – Plastic potential, Isotropic Hardening-Flow rule (plastic stress- strain relation)

Prandtl Reuss equations - Plastic work - Plastic potential Nadai's sand heap analogy.

Total: 60 hrs.

REFERENCE BOOKS:

1. Sadhu Singh, Theory of Plasticity, Khanna Publishers, N.Delhi, 2008.

2. S. Timoshenko and J. N. Goodier, Theory of Elasticity, Mc Graw Hill Book Co., 2010.

3. RagabA.R., Bayoumi S.E., Engineering Solid Mechanics, CRC Press,1999

4. Computational Elasticity, AmeenM, Narosa, 2005.

5. Advanced Mechanics of Solids, Srinath L.S, Tata McGraw Hill, 2009.


P19STR103 STRUCTURAL ENGINEERING LABORATORY 0 0 4 2

COURSE OUTCOMES


CO1 Design high strength concrete and study the parameters affecting its performance

CO2 Conduct Non-Destructive tests on existing concrete structures

CO3 Apply Engineering principles to understand behaviour of structural elements

CONTENTS:- 60

Study of stress-strain curve of high strength concrete

Correlation between cube strength, cylindrical strength, split tensile strength and modulus of rupture

Effect of cyclic loading on steel

Non-Destructive testing of existing concrete members

Behaviour of beams under flexure, shear and torsion

Model study on continuous beam with influence line coefficients

Total: 60 hrs.

REFERENCE BOOKS:

1. Properties of Concrete, Neville A.M, 5th

Edition, Prentice Hall, 2013.

2. Concrete Technology, Shetty M.S., S.Chand and Co., 2008.


P19STR504 STABILITY OF STRUCTURES 3 0 0 3

COURSE OUTCOMES


CO1 Obtain the concept of structural stability of structures

CO2 Compare the method and analysis of structures

CO3 Design a beam column behaviour and torsional buckling in beams

CO4 Explain the buckling of portal frame with various modes

CO5 Describe the buckling plates with different approaches

UNIT – I: STABILITY OF COLUMNS 9

Introduction-Methods of neutral equilibrium- Effective-length concept and design curve- Governing

equation for columns- Eigen value problem-Elastic structural stability-Structural instability-Analytical

methods for the stability analysis, equilibrium, imperfections and energy methods - Non-prismatic

columns - Built up columns - Buckling modes effect of shear on buckling load - Large deflection

theory UNIT – II: METHODS OF ANALYSIS AND INELASTIC BUCKLING 9

Approximate methods - Rayleigh and Galerkin methods - Numerical methods (New mark’s Finite

Difference and matrix methods) -Analysis of columns - Experimental study of column behaviour - South

well plot - Column curves - Derivation of column design formula - Effective length of Columns -

Inelastic behavior - Tangent modulus and Double modulus theory.

UNIT – III: BEAM COLUMNS 9

Beam columns: Introduction-Behaviour, Stability analysis of beam column with single and several

concentrated loads, distributed load and end couples. Beams: Torsional buckling-Combined Torsional and

flexural buckling. Lateral buckling of beams, pure bending of simply supported and cantilever beams.

UNIT – IV: BUCKLING OF FRAMES 9 Buckling of frames-Introduction-Modes of buckling-Critical load using various methods:- Neutral

equilibrium-Slope-deflection equations-Matrix Analysis.

UNIT – V: BUCKLING OF PLATES 9 Buckling of plates-Differential equation of plate buckling-Critical load on plates for various boundary conditions-

Energy method-Finite difference method.

Total: 45 hrs.

REFERENCE BOOKS:

1. Chajes, A. “Principles of Structures Stability Theory”, Prentice Hall of India, 1990.

2. Ashwin Kumar, “Stability of Structures”, Allied Publishers Ltd, New Delhi, 1998.

3. Gambhir, “Stability Analysis and Design of Structures”, springer, New York, 2010.

4. Iyengar, N.G.R, “Structural Stability of Columns and Plates” East West Press Pvt Ltd, New

Delhi, 1986.

5. Timoshenko, S.P, and Gere, J.M., “Theory of Elastic stability”, McGraw-Hill Company, 2017.


P19STR510 ADVANCED CONCRETE TECHNOLOGY 3 0 0 3

COURSE OUTCOMES


CO1 discuss microstructure concrete and dimensional stability

CO2 prepare a mix design for the various mix proportions

CO3 enumerate the properties of ingredients used in concretes

CO4 explain the different types of special concrete and their applications in construction.

CO5 explain different types of non-destructive testing methods.

UNIT – I: CONCRETE CHARACTERISATION 9

Microstructure of concrete: Aggregate phase, hydrated cement paste, interfacial transition zone. Strength:

strength-porosity relationship, failure modes in concrete, factors affecting compressive strength, behavior

of concrete under various stress states. Dimensional stability: Elastic behavior, drying shrinkage and

creep, thermal shrinkage and thermal properties of concrete.

UNIT – II: PROPORTIONING CONCRETE MIXTURES 9

Significance and objectives, general considerations, procedures, Methods of concrete mix design, design

of high strength and high performance concrete using relevant codes. Testing and control of concrete

quality: Methods and significance, accelerated strength testing, core tests and quality control charts.

UNIT – III: DURABILITY OF CONCRETE 9

Water as an agent of deterioration: structure of water, permeability, causes of deterioration of concrete:

surface wear, crystallization of salts in pores, frost action, effect of fire, sulfate attack, alkali aggregate

reaction, and corrosion of embedded steel in concrete: Mechanism-control, development of holistic

model of concrete deterioration, concrete in the marine environment. Methods of providing durable

concrete, short-term tests to assess long-term behaviour.

UNIT – IV: SPECIAL TYPES OF CONCRETE 9

Roller compacted concrete-self compacted concrete-shrinkage compensation concrete, pervious

concrete-concrete containing polymers-heavy weight concrete for radiation shielding-high performance

concrete, high strength concrete, shotcrete, fibre reinforced concrete- bacterial concrete-Mass concrete –

their materials, mix proportions, properties, applications and limitations.

UNIT – V: NON-DESTRUCTIVE METHODS 9

Surface hardness methods, Penetration resistance techniques, pull out tests, maturity method, stress wave

propagation methods, electrical methods, electrochemical methods, electromagnetic methods,

Tomography of reinforced concrete.

Total: 45 hrs.

REFERENCE BOOKS:

1. .Kumar Mehta, Paulo J.M Monteiro., Concrete Microstructure,properties and Materials,McGraw Hill

Education(India) Pvt Ltd, New Delhi,2014

2. Job Thomas, “Concrete Technology”, Cengage Learning India, 2015

3. Gambhir.M.L., Concrete Technology, McGraw Hill Education, 2011..

4. Gupta.B.L., Amit Gupta, “Concrete Technology, Jain Book Agency, 2010.

5. Neville, A.M., Properties of Concrete, Prentice Hall, 2013, London.

6. Shetty M.S., Concrete Technology, S.Chand and Company Ltd. Delhi, 2008.

7. IS 10262


P19GE101 RESEARCH METHODOLOGY AND IPR 2 0 0 2

COURSE OUTCOMES

At the end of the course, the student will be able to

1. Review the literature of the research problem

2. Choose appropriate data collection and sampling method according to the research problem.

3. Interpret the results of research and communicate effectively with their peers

4. Explain the Importance of intellectual property rights

5. Evaluate trade mark, develop and register patents

UNIT 1 INTRODUCTION TO RESEARCH METHODS 6

Definition and Objective of Research, Various steps in Scientific Research, Types of Research, Criteria for

Good Research, Defining Research Problem, Research Design , Case Study Collection of Primary and

Secondary Data, Collection Methods: Observation, Interview, Questionnaires, Schedules,

UNIT 2 SAMPLING DESIGN AND HYPOTHESIS TESTING 6

steps in Sampling Design, Types of Sample Designs, Measurements and Scaling Techniques - Testing of

hypotheses concerning means (one mean and difference between two means -one tailed and two tailed

tests), concerning variance – one tailed Chi-square test.

UNIT 3 INTERPRETATION AND REPORT WRITING 6

Techniques of Interpretation, Precaution in Interpretation, Layout of Research Report, Types of Reports,

Oral Presentation, Mechanics of Writing Research Report

UNIT 4 INTRODUCTION TO INTELLECTUAL PROPERTY 6

Introduction, types of intellectual property, international organizations, agencies and treaties, importance of

intellectual property rights, Innovations and Inventions trade related intellectual property rights.

UNIT 5 TRADE MARKS, COPY RIGHTS AND PATENTS 6

Purpose and function of trade marks, acquisition of trade mark rights, trade mark registration processes,

trademark claims –trademark Litigations- International trademark law

Fundamental of copy right law, originality of material, rights of reproduction, rights to perform the work

publicly, copy right ownership issues, copy right registration, notice of copy right, international copy right

law.

Law of patents: Foundation of patent law, patent searching process, ownership rights and transfer

THEORY: 30 Hours TUTORIAL: - PRACTICAL: - TOTAL: 30 Hours

TEXT BOOKS

1. C.R. Kothari, Gaurav Garg, Research Methodology Methods and Techniques ,4th

Edition, New Age

International Publishers, 2019.

2. Deborah E. Bouchoux, “Intellectual Property: The Law of Trademarks, Copyrights, Patents, and

Trade Secrets”, Delmar Cengage Learning, 4th

Edition, 2012.

3. Prabuddha Ganguli, “Intellectual Property Rights: Unleashing the Knowledge Economy”, Tata Mc

Graw Hill Education, 1st

Edition, 2008.


REFERENCE BOOKS

1. Panneerselvam, R., Research Methodology, Second Edition, Prentice-Hall of India, New

Delhi, 2013.

2. Ranjith Kumar, Research Methodology – A step by step Guide for Begineers, 4th

edition, Sage

publisher, 2014.

3. D Llewelyn & T Aplin W Cornish, “Intellectual Property: Patents, Copyright, Trade Marks and

Allied Rights”, Sweet and Maxwell, 1st

Edition, 2016.

4. Ananth Padmanabhan, “Intellectual Property Rights-Infringement and Remedies”, Lexis Nexis, 1st

Edition, 2012.

5. Ramakrishna B and Anil Kumar H.S, “Fundamentals of Intellectual Property Rights: For Students,

Industrialist and Patent Lawyers”, Notion Press, 1st

Edition, 2017.

6. M.Ashok Kumar and Mohd.Iqbal Ali :”Intellectual Property Rights” Serials Pub


P19GE701 English for Research Paper Writing

2 0 0 0

Course Outcomes:

At the end of the course, the students will be able to

Demonstrate research writing skills both for research articles and thesis

Frame suitable title and captions as sub-headings for articles and thesis

Write each section in a research paper and thesis coherently

Use language appropriately and proficiently for effective written communication

Exhibit professional proof-reading skills to make the writing error free

Unit – I 6

Planning and preparation, word order, breaking up long sentences, organising ideas into

paragraphs and sentences, being concise and avoiding redundancy, ambiguity and vagueness

Unit – II 6

Interpreting research findings, understanding and avoiding plagiarism, paraphrasing sections

of a paper/ abstract.

Unit- III 6

Key skills to frame a title, to draft an abstract, to give an introduction

Unit – IV 6

Skills required to organise review of literature, methods, results, discussion and conclusions

Unit – V 6

Usage of appropriate phrases and key terms to make the writing effective - proof-reading to ensure error-free writing.

Text Books:

1.Adrian Wallwork , English for Writing Research Papers, Springer New York Dordrecht Heidelberg

London, 2011

2.HighmanN , Handbook of Writing for the Mathematical Sciences, SIAM.Highman’s book, 1998.

3. Day R, How to Write and Publish a Scientific Paper, Cambridge University Press, 2006.

4.Goldbort R, Writing for Science, Yale University Press, 2006. (available on Google Books) Total: 30 hours

REFERENCES

Martin Cutts, Oxford Guide to Plain English, Oxford University Press, Second Edition, 2006





Civil Engineering

Branch: Construction Engineering and Management


Theory

1 P19CEM101 Project Formulation and Appraisal 3 1 0 4

2 P19CEM102 Modern Construction Materials 3 1 0 3

3 P19CEM502 Elective-Advanced Concrete Technology 3 0 0 3

4 P19CEM507 Elective-Construction Project Management 3 0 0 3



Practical

7 P19CEM103 Construction Engineering Laboratory 0 0 4 2

Total Credits 18

Approved by

Chairperson, Civil Engineering BOS Member Secretary, Academic Council Chairperson, Academic Council & Principal

Dr.R.Malathy Dr.R.Shivakumar Dr.S.R.R.Senthil Kumar

Copy to:-

HOD/Civil, First Semester ME CEM Students and Staff, COE


P19CEM101 PROJECT FORMULATION AND APPRAISAL 3 1 0 4

COURSE OUTCOMES


CO1 Explain the process the formulation of project.

CO2 Describe about the concepts of cash flows, time value of money and cost of capital

CO3 Determine the various theories of project appraisal

CO4 Interpret the various means of financing for a project

CO5 Explain the private sector participation in projects

Unit – I: PROJECT FORMULATION 12

Project – Concepts – Capital investments - Generation and Screening of project Ideas - Project

identification – Preliminary analysis, Market, Technical, Financial, Economic and ecological - Pre-

Feasibility report and its Clearance, Project estimates and Techno-economic Feasibility report, Detailed

project report – Different project clearances required.

Unit –II: PROJECT COSTING 12

Project cash flows – Time value of money – Cost of capital.

Unit –III: PROJECT APPRAISAL 12

NPV – BCR – IRR – ARR – Urgency – Pay Back Period – Assessment of various methods – Indian

practice of investment appraisal – International practice of appraisal – Analysis of risk – Different

methods – Selection of a project and risk analysis in practice.

Unit –IV: PROJECT FINANCING 12

Project financing – Means of finance – Financial institutions – Special schemes – Key financial

Indicators - Ratios.

Unit –V: PRIVATE SECTOR PARTICIPATION 12

Private sector participation in Infrastructure Development Projects – PPP- BOT, BOLT, BOOT -

Technology transfer and foreign collaboration - Scope of technology transfer.

Total: 60 hrs.

REFERENCE BOOKS:

1. Ambrish Gupta, Project Appraisal and Financing Paperback – 2017

2. Prasanna Chandra, Projects – Planning, Analysis, Selection, Implementation Review, McGraw Hill

Publishing Company Ltd., New Delhi. 2017.

3. Barcus, S.W. and Wilkinson.J.W., Hand Book of Management Consulting Services, McGraw Hill,

New York, 1986.

4. Joy P.K., Total Project Management - The Indian Context, New Delhi, Macmillan India Ltd., 1994

5. Manual for the Preparation of Industrial Feasibility Studies, (IDBI Reproduction)United Nations

Industrial Development Organisation (UNIDO) Bombay, 2012.


P19CEM102 CONSTRUCTION PLANNING SCHEDULING AND CONTROL 3 1 0 4

COURSE OUTCOMES


CO1 Explain the concepts of construction Planning

CO2 Compute the construction Schedules using CPM

CO3 Formulate scheduling Procedures with uncertain durations

CO4 Plan the project budget, cash flow and schedule information

CO5 Explain the various types of Project information and organize the database of the project

Unit – I: CONSTRUCTION PLANNING 12

Basic Concepts in the development of construction plans – Choice of technology and construction

method – Defining work tasks – Defining precedence relationships among activities – Estimating activity

Durations – Estimating resource requirements for work activities – Coding systems.

Unit –II: SCHEDULING PROCEDURES USING CPM 12

Construction schedules – Critical Path Method – Scheduling calculations – Float – Presenting project

schedules – Scheduling for Activity-on-Node and with leads, lags, and windows – Scheduling with

resource constraints and precedence – Use of advanced scheduling techniques

Unit –III: SCHEDULING PROCEDURES WITH UNCERTAINITY 12

Scheduling with uncertain durations – Calculations for Monte Carlo schedule simulation – Crashing and

time/cost Trade-offs – Improving the scheduling process.

Unit –IV: COST CONTROL, MONITORING AND ACCOUNTING 12

Cost control problem – Project budget – Forecasting for activity cost control – Financial accounting

systems and cost accounts – Control of project cash flows –Schedule control – Schedule and budget

updates – Relating cost and schedule information.

Unit –V: ORGANIZATION AND USE OF PROJECT INFORMATION 12

Types of project information – Accuracy and use of information – Computerized organization and use of

information – Organizing information in databases – Relational model of databases – Other conceptual

models of databases – Centralized database management systems – Databases and applications Programs

– Information transfer and flow.

Total: 60 hrs.

REFERENCE BOOKS:

1. Calin M. Popescu, Chotchai Charoenngam, Project Planning, Scheduling and Control in

Construction: An Encyclopedia of terms and Applications, Wiley, New York, 1995

2. Chitkara, K.K. Construction Project Management: Planning, Scheduling and Control, McGraw-

Hill Publishing Company, New Delhi, 2019.

3. Chris Hendrickson and Tung Au, Project Management for Construction – Fundamental Concepts

for Owners, Engineers, Architects and Builders, Prentice Hall, Pittsburgh, 2000.

4. Halpin, D. W., Financial and Cost Concepts for Construction Management, John Wiley & Sons,

New York, 1985. Willis, E. M., Scheduling Construction Projects, John Wiley & Sons, 2011.


P19CEM103 CONSTRUCTION ENGINEERING LABORATORY 0 0 4 2

COURSE OUTCOMES


CO1 Design high strength concrete and study the parameters affecting its performance

CO2 Conduct Non-Destructive tests on existing concrete structures

CO3 Apply Engineering principles to understand behaviour of structural elements

CONTENTS:- 60

Study of stress-strain curve of high strength concrete

Correlation between cube strength, cylindrical strength, split tensile strength and modulus of rupture

Effect of cyclic loading on steel

Non-Destructive testing of existing concrete members

Behaviour of beams under flexure, shear and torsion

Total: 60 hrs.

REFERENCE BOOKS:

1. Properties of Concrete, Neville A.M, 5th

Edition, Prentice Hall, 2013.

2. Concrete Technology, Shetty M.S., S.Chand and Co., 2018.


P19CEM502 ADVANCED CONCRETE TECHNOLOGY 3 0 0 3

COURSE OUTCOMES


CO1 discuss microstructure concrete and dimensional stability

CO2 prepare a mix design for the various mix proportions

CO3 enumerate the properties of ingredients used in concretes

CO4 explain the different types of special concrete and their applications in construction.

CO5 explain different types of non-destructive testing methods.

UNIT-I: CONCRETE CHARACTERIZATION 9

Microstructure of concrete: Aggregate phase, hydrated cement paste, interfacial transition zone. Strength:

strength-porosity relationship, failure modes in concrete, factors affecting compressive strength, behavior

of concrete under various stress states. Dimensional stability: Elastic behavior, drying shrinkage and

creep, thermal shrinkage and thermal properties of concrete.

UNIT-II: PROPORTIONING CONCRETE MIXTURES 9

Significance and objectives, general considerations, procedures, Methods of concrete mix design, design

of high strength and high performance concrete using relevant codes. Testing and control of concrete

quality: Methods and significance, accelerated strength testing, core tests and quality control charts.

UNIT-III: DURABILITY OF CONCRETE 9

Water as an agent of deterioration: structure of water, permeability, causes of deterioration of concrete:

surface wear, crystallization of salts in pores, frost action, effect of fire, sulfate attack, alkali aggregate

reaction, and corrosion of embedded steel in concrete: Mechanism-control, development of holistic

model of concrete deterioration, concrete in the marine environment. Methods of providing durable

concrete, short-term tests to assess long-term behaviour.

UNIT-IV: SPECIAL TYPES OF CONCRETE 9

Roller compacted concrete-self compacted concrete-shrinkage compensation concrete, pervious

concrete-concrete containing polymers-heavy weight concrete for radiation shielding-high performance

concrete, high strength concrete, shotcrete, fibre reinforced concrete- bacterial concrete-Mass concrete –

their materials, mix proportions, properties, applications and limitations.

Unit-V: Non-destructive methods 9

Surface hardness methods, Penetration resistance techniques, pull out tests, maturity method, stress wave

propagation methods, electrical methods, electrochemical methods, electromagnetic methods,

Tomography of reinforced concrete.

Total: 45 hrs.

REFERENCE BOOKS:

1. .Kumar Mehta, Paulo J.M Monteiro., Concrete Microstructure,properties and Materials,McGraw Hill

Education(India) Pvt Ltd, New Delhi,2014

2. Gambhir.M.L., Concrete Technology, McGraw Hill Education, 2011.

3. Gupta.B.L., Amit Gupta, “Concrete Technology, Jain Book Agency, 2010.

4. Neville, A.M., Properties of Concrete, Prentice Hall, 2013, London.

5. Shetty M.S., Concrete Technology, S.Chand and Company Ltd. Delhi, 2008


P19CEM507 CONSTRUCTION PROJECT MANAGEMENT 3 0 0 3

COURSE OUTCOMES


CO1 Explain the concept of project and role of project managers

CO2 Develop the project plan and controlling systems

CO3 illustrate the characteristics of working systems and monitoring contracts

CO4 Describe the project direction and control the process at various stages

CO5 Explain the various resource management and inventory control

Unit- 1: INTRODUCTION TO PROJECT 9

Concept of a Project – Characteristic features – Project life cycle – Phases – Project management –

tools and techniques for project management – Role of project managers.

Unit –II: ROLE OF PROJECT MANAGEMENT 9

Development of project plan and objectives – Programming – Scheduling – Project organization –

Organization and project team – Role of communication in project management – Controlling systems.

Unit –III: WORKING SYSTEMS 9

Working systems – Characteristics – Class of systems – Design of systems – Work break down system

(WBS) – Project execution plan – Project procedure manual –Sub systems of project management-

monitoring of projects- Networks – Monitoring contracts.

Unit –IV: PROJECT DIRECTION 9

Project direction – Direction during production stage – Value engineering review – Stages – Directives –

Project coordination – Procedure – Interface management – Project control – Scope for progress control

– Overall project progress control – Stages – Methods.

Unit –V: RESOURCE MANAGEMENT 9

Basic concept – Labour requirements – Labour productivity – Site productivity – Equipment

Management – Material management- Procurement organization – Procurement planning – Functions of

material management – Inventory control

Total: 45 hrs.

REFERENCE BOOKS:

1. Prasanna Chandra, “Project Planning,Analysis, Selection, Implementation and review”, Tata Mcgraw

Hill ,2017.

2. Chitkara, K.K “Construction Project Management: Planning Scheduling and control”,Tata McGraw-

Hill Publishing Company, New Delhi- 2019..

3. Frederick E. Gould, “Construction Project Management”, Pearson Publications, Vary E. Joyce,

Massachusetts Institute of Technology, 2000.

4. Choudhury, S “Project Management”, Pearson Publishing company New Delhi 2008.

5. Sengutha .B, Guha .H, “Construction Management and Planning”, Tata Mc Graw Hill, 2001.



COURSE OUTCOMES


























law.



TEXT BOOKS


Edition, New Age




Edition, 2012.



Edition, 2008.


REFERENCE BOOKS


Delhi, 2013.


edition, Sage

publisher, 2014.



Edition, 2016.


Edition, 2012.



Edition, 2017.




2 0 0 0

Course Outcomes:







Unit – I 6



Unit – II 6



Unit- III 6


Unit – IV 6


Unit – V 6


Text Books:


London, 2011




REFERENCES






Mechanical Engineering

Branch: M.E. Engineering Design


Theory

1 P19END101 Finite Element Analysis 3 0 0 3

2 P19END102 Computer Applications in Design 3 0 0 3

3 P19END103 Concepts of Engineering Design 3 0 0 3

4 P19END502 Elective-Design for Manufacture and Assembly 3 0 0 3

5 P19END503 Elective- Rapid Prototyping and Tooling 3 0 0 3



Practical

8 P19END104 CAD Laboratory 0 0 4 2

Total Credits 19

Approved by

Chairman, Mechanical Engineering BOS Member Secretary, Academic Council Chairperson, Academic Council & Principal

Dr.D.Senthilkumar Dr.R.Shivakumar Dr.S.R.R.Senthil Kumar

Copy to:-

HOD/MECH, First Semester ME END Students and Staff, COE


Course Code P19END101 L T P C

Course Name FINITE ELEMENT ANALYSIS 3 - - 3

Pre-requisite subjects: Engineering Mathematics, Numerical Methods, Strength of Materials Heat and

mass transfer and Finite Element Analysis

Course Outcomes

Upon completion of this course the students will be able to

CO1 Provide further Advanced FEA knowledge and techniques for solving 1D

complex problems in engineering.

CO2 Gain Knowledge to solve two-dimensional problems

CO3 Provide Knowledge to expertise in basic elements, Isoparametric elements

CO4 Impart Knowledge to structural dynamics applications

CO5 Understand non linear problems and error estimates

Unit I INTRODUCTION & ONE-DIMENSIONAL PROBLEMS L 9 T - Relevance of finite element analysis in design - Variational principles and methods –

Weighted-Integral statements – Weak formulations – Ritz method – Method of weighted

residuals – Applications of FEA - Finite element modeling – Co-ordinates and shape

functions - Potential energy approach – Galerkin’s approach – One dimensional finite element models in Solid mechanics and Heat transfer – Finite element model for beams

Unit II TWO-DIMENSIONAL PROBLEMS L 9 T -

Poisson equation – Laplace equation – Weak form – Element matrices for triangular and

rectangular elements – Evaluation of integrals – Assembly – Axi-symmetric problems – Applications – Conduction and convection heat transfer - Torsional cylindrical member –

Transient analysis - Theory of elasticity – Plane strain – Plane stress – Axi-symmetric

problems – Principle of virtual displacement

Unit III ISOPARAMETRIC ELEMENTS L 9 T -

Introduction – Bilinear quadrilateral elements – Quadratic quadrilaterals – Hexahedral

elements - Numerical integration – Gauss quadrature – Static condensation – Load

considerations – Stress calculations – Examples of 2D and 3D applications

Unit IV STRUCTURAL DYNAMICS APPLICATIONS L 9 T - Dynamic equations – Mass and damping matrices – Natural frequencies and modes –

Reduction of number of DOF-response history – Model methods – Ritz vectors –

Component mode synthesis – Harmonic response – Direct integration techniques –

Explicit and implicit methods – Analysis by response spectra – Example problems

Unit V NON-LINEAR PROBLEMS & ERROR ESTIMATES L 9 T -

Introduction – Material non-linearity – Elasto Plasticity – Plasticity – Visco plasticity –

Geometric non-linearity – Large displacement – Error norms and convergence rates – H-

refinement with adaptivity – adaptive refinement

Total : 45 Hrs

Content Beyond Syllabus

1. Two-dimensional mesh generation – advancing front method

2. Three-dimensional mesh generation – Delaunay triangulation

3. Coupled problems

4. Transient response by analytical procedures


Learning Resources

Reference Books

1. Reddy J.N., “An Introduction to the Finite Element Method”, McGraw Hill,

International Edition 2005, 3rd Edition, ISBN-13: 978-0070607415.

2. Logan D.L, “A First Course in the Finite Element Method”, Fifth Edition, Cengage

Learning, 2010, ISBN-13: 978-8131517307.

3. Robert Davis Cook, Davis S. Malkus, “Concepts and Applications of Finite Element

Analysis”, Wiley, John & Sons, Forth Edition 2007, ISBN-13: 978-8126513369.

4. Larry J.Segerlind, “Applied Finite Element Analysis”, Second Edition, John Wiley,

2010, ISBN-13: 978-8126528806.

5. S.S.Rao, “The Finite Element Analysis in Engineering”, Butterworth-Heinemann; 5th

edition, 2010, ISBN-13: 978-1856176613. 6. Zienkiewicz, O.C. and Taylor, R.L., “The Finite Element Method”, Sixth Edition,

Butterworth – Heinemann, 2005, ISBN–0–7506-6320-0.



Course Name COMPUTER APPLICATIONS IN DESIGN 3 0 0 3

Pre-requisite subjects: Engineering Graphics, CAD/CAM/CIM, Design of Machine Elements and Design of Jigs, Fixtures, Press tools and Moulds.

Course Outcomes


CO1 Impart knowledge on parametric sketching

CO2 Practice modeling, assembly, tolerance analysis of Mechanical components

CO3 Design Rapid tooling in computers

CO4 Impart knowledge on visual basic, pro/program, script, LISP etc

CO5 Provide standardization and design optimization for geometry.

Unit I INTRODUCTION TO COMPUTER APPLICATIONS IN NEW PRODUCT DESIGN

L 9 T 0

Concept design – parametric sketching – constraints – computer graphics principles-

2D transformation, scaling, rotation – windowing, view ports – clipping – data

exchange formats.

Unit II COMPUTERS IN DESIGN L 9 T 0

Solid modeling of Mechanical components – associative features – Sheet metal

components, nesting and development – plastic parts with draft and shrinkage

allowance – Reverse engineering of components – assembly of parts – tolerance

analysis – mass property calculations

Unit III COMPUTERS IN TOOLING DESIGN L 9 T 0

Mould design – jigs and fixtures design – check for interferences – mechanism design

and analysis – Rapid tooling

Unit IV COMPUTERS IN DESIGN PRODUCTIVITY L 9 T 0 Customizing various software by using visual basic, pro/program, script, LISP etc to

write applications like design of shafts, gears etc.

Unit V MANAGING PRODUCT DESIGN DATA L 9 T 0

Version control – library creation – catalog making – standardization for design – collaborative design among peer groups – Design optimization for geometry - Design

check, approval and validation.

Total: 45 Hrs


1. Basics of AUTOCAD

2. Interchangeability in Design

3. Design of Casting


Learning Resources

Reference Books

1. William M. Neumann and Robert Sproul “ Principles of interactive Computer Graphics”

Tata McGraw Hill Publishing Co. Ltd, 21st Reprint 2008,ISBN 13 –978-0-07-463293-2.

2. Ibrahim Zeid “CAD/CAM – Theory and Practice” – McGraw Hill, Special Indian Edition, Fifth reprint 2010 ISBN 13 – 978-0-07-015134-5.

3. P N Rao “CAD/CAM :Principles and Applications” Tata McGraw Hill Education Pvt Ltd,

Third Edition. 2011, ISBN-13-978-0-07-068793-4

4. Schlechtendahl, E. G, CAD – Data transfer for Solid Models, Springer Verlag, Berlin, 1989, ISBN 9783540518266

5. Donald Hearn and M Pauline Baker “Computer Graphics” Prentice Hall Inc , Second Edition, 2002,ISBN-13: 978-8177587654



Course Name CONCEPTS OF ENGINEERING DESIGN 3 - - 3

Pre-requisite subjects: Finite element Analysis, CAD/CAM/CIM, Engineering materials and Metallurgy,

Manufacturing Technology I & II, Product Quality Development.

Course Outcomes


CO1 Impart knowledge on design process

CO2 Gain knowledge on mathematical modelling, geometric modelling.

CO3 Understand material selection Chart, Pugh selection method, selection with

computed aided databases

CO4 Develop knowledge on material processing and design

CO5 Understand and respond Environmental and safety issues.

Unit I THE DESIGN PROCESS L 9 T 0

The Design Process - need identification – Design requirements – Product Life Cycle –

Morphology of Design steps of Product Design – Conceptual Design, Embodiment Design, detailed Design – Concurrent Engineering – CAD & CAM, Human factors in

Design.

Unit II TOOLS IN ENGINEERING DESIGN L 9 T 0

Creativity and problem solving, Decision Theory, Modeling – Role of models in Engineering Design, Mathematical modeling, Geometric modeling, finite element

modeling, Rapid Prototyping – Simulation Finite Difference method, Monte Carlo

method – Optimization – Search methods, Geometric programming, Structural and

shape optimization. Unit III MATERIAL SELECTION AND MATERIALS IN

DESIGN

L 9 T 0

The Classification and properties of Engineering materials, material standards and

specifications – Methods of material selection – Ashby Chart and method of weight

factors, Derivation of material indices, Use of material selection Chart, Pugh selection method, selection with computed aided databases – Design for brittle fracture, Design

for fatigue failure, Design for corrosion resistance, Designing with plastics.

Unit IV MATERIAL PROCESSING AND DESIGN L 9 T 0

Classification of manufacturing processes and their role in design, Factors determining the process selection, use of process selection chart and computerized database –

Design for manufacturing, Design for forging and sheet metal forming, Design for

casting, Design for machining, welding and assembly, design for residual stresses and

heat – treatment Unit V LEGAL, ETHICAL ENVIRONMENTAL AND SAFETY

ISSUES IN DESIGN AND QUALITY ENGINEERING

L 9 T 0

The origin of laws, Contracts, - Liability – Tort Law- Product Liability – Design aspects

of product liability, Codes of ethics, solving ethical conflicts. Design for environment – Life Cycle assessment – Material recycling and remanufacture, Design for safety –

Potential Dangers and Guidelines for design for safety, Design for reliability failure

mode effect analysis, robust Design.

Total: 45 Hrs


1. Basic concept of design

2. Design procedures

3. Design application in industries 4. Basic quality concepts


Learning Resources

Reference Books

1. Dieter, George E, Engineering Design –“A materials and processing Approach”,

Paperback, McGraw Hill Higher Education,5th International edition,2012, ISBN-

13: 9780071326254.

2. Karl T. Vlrich and Steven D. Eppinger “Product design and Development”, Mc

Graw Hill, International Edition, 5th Edition,2000,ISBN: 0073404772

3. Pahlgand Beitz W “Engineering Design” Springer – London,3rd Edition, 2006,ISBN-

13: 9781846283185

4. Suh. N. P. “The principles of design”,Oxford University Press USA 1990, ISBN-13: 9780195043457

5. Ray M.S. “Elements of Engineering Design”, Printice Hall Inc.,1st Edition, 1985,

ISBN-13: 9780132641852



Course Name DESIGN FOR MANUFACTURE AND ASSEMBLY 3 - - 3

Pre-requisite subjects: Design of Machine Elements, Design of Jigs, fixtures, press tools and Moulds,

CAD/CAM/CIM, Manufacturing Technology I & II, Product Quality Development

and Concepts of Engineering design.

Course Outcomes


CO1 Impart knowledge on design principles for manufacturing.

CO2 Gain knowledge on form design and forgings.

CO3 Understand component design by considering machining.

CO4 Develop knowledge on component design by considering casting.

CO5 Understand and respond Environmental and safety issues for design.

Unit I INTRODUCTION L 9 T 0

General design principles for manufacturability - strength and mechanical factors,

mechanisms selection, evaluation method, Process capability - Feature tolerances Geometric

tolerances - Assembly limits -Datum features - Tolerance stacks.

Unit II FACTORS INFLUENCING FORM DESIGN L 9 T 0 Influence of materials on form design - form design of grey iron, malleable iron, steel and

aluminium castings - form design of welded members, forgings.

Unit III COMPONENT DESIGN - MACHINING CONSIDERATION L 9 T 0

Design features to facilitate machining - drills - milling cutters - keyways - Doweling

procedures, counter sunk screws - Reduction of machined area- simplification by separation -

simplification by amalgamation - Design for machinability - Design for economy - Design for

clampability - Design for accessibility - Design for assembly.

Unit IV COMPONENT DESIGN - CASTING CONSIDERATION L 9 T 0

Redesign of castings based on Parting line considerations - Minimizing core requirements,

machined holes, redesign of cast members to obviate cores. Identification of uneconomical

design - Modifying the design - group technology - Computer Applications for DFMA.

Unit V DESIGN FOR THE ENVIRONMENT L 9 T 0

Introduction – Environmental objectives – Global issues – Regional and local issues – Basic

DFE methods – Design guide lines – Example application – Lifecycle assessment – Basic

method – AT&T’s environmentally responsible product assessment - Weighted sum

assessment method – Lifecycle assessment method – Techniques to reduce environmental

impact – Design to minimize material usage – Design for disassembly – Design for

recyclability – Design for remanufacture – Design for energy efficiency – Design to regulations

and standards.

Total: 45 Hrs


1. Stress concentration

2. Basics of environmental engineering


Learning Resources

Reference Books

1. Boothroyd, G, “Design for Assembly Automation and Product Design”, Marcel Dekker,

NewYork., 2nd Edition, 2002 ISBN:0750673419

2. Bralla, “Design for Manufacture handbook”, McGraw hill, 2nd Edition, 2013. ISBN-

13: 9780070071391

3. Boothroyd, G, Heartz and Nike,” Product Design for Manufacture”, Marcel Dekker, 3rd

Edition 1994. ISBN: 0-8247-0584-X.

4. Dickson, John. R, and Corroda Poly, “Engineering Design and Design for Manufacture and Structural Approach”, Field Stone Publisher, USA, 1995.

5. Fixel, J. Design for the Environment McGraw hill.,2nd Edition,2011 ,ISBN-13: 978-

0071776226

6. Graedel T. Allen By. B, “Design for the Environment”, Angle Wood Cliff, Prentice Hall. Pearson Pub., 1996. ISBN-13 978-81-265-1336-9

7. Kevien Otto and Kristin Wood, “Product Design”, Pearson Publication,2nd Edition, 2004.

ISBN 7-302-07048-2



Course Name RAPID PROTOTYPING AND TOOLING 3 - - 3

Pre-requisite subjects: Manufacturing Technology – I , Manufacturing Technology – II, CAD / CAM / CIM and Unconventional Machining Process.

Course Outcomes


CO1 Describe exhaustive knowledge in RPT Tooling

CO2 Impart knowledge in stereolithography systems selective laser sintering

CO3 Describe fusion deposition modeling

CO4 Provide Knowledge in laminated object manufacturing

CO5 Apply concepts of RPT in component development

Unit I INTRODUCTION L 8 T 0

Need for the compression in product development, History of RP systems, Survey of

applications, Growth of RP industry, and classification of RP systems.

Unit II STEREOLITHOGRAPHY SYSTEMS L 9 T 0

Principle, Process parameters, Process details, Data preparation, Data files and Machine

details, Applications. SELECTIVE LASER SINTERING - Types of machines, Principle of

operation, Process parameters, Data preparation for SLS, Applications.

Unit III FUSION DEPOSITION MODELING L 9 T 0

Principle, Process parameters, Path generation, Applications. SOLID GROUND CURING: Principle of operation, Machine details, Applications.

Unit IV LAMINATED OBJECT MANUFACTURING L 9 T 0

Principle of operation, LOM materials, Process details, Applications. CONCEPT MODELERS

- Principle, Thermo jet printer, Sander's model market, 3-D printer, Genisys Xs printer,

JP system 5, Object Quadra System. LASER ENGINEERED NET SHAPING (LENS) –

principle –applications. Unit V RAPID TOOLING SOFTWARE FOR RAPID

PROTOTYPING

L 10 T 0

Indirect Rapid Tooling - Silicone rubber tooling, Aluminum filled epoxy tooling, Spray

metal tooling, etc. Direct Rapid Tooling - Direct AIM, Quick cast process, Copper

polyamide, Rapid Tool, DMILS, ProMetal, Sand casting tooling, Laminate tooling, soft

tooling vs hard tooling. STL files, Overview of Solid view, Magics, mimics, magics communicator, etc. Internet based softwares, Collaboration tools. RAPID

MANUFACTURING PROCESS OPTIMIZATION - Factors influencing accuracy, Data

preparation errors, Part building errors, Errors in finishing, Influence of part build

orientation. ALLIED PROCESSES - Vacuum Casting, Surface Digitizing, Surface Generation from point cloud, Surface modification, data transfer to solid models.

Total : 45 Hrs


1. Laser 3D printing 2. Smart materials used in RPT

3. Advanced Treatment for cleaning the prototypes


Learning Resources

Reference books

1. Paul. F. Jacobs, "Stereo lithography and other RP & M Technologies", Society of

Manufacturing Engineers, NY, 1996, ISBN-9780872634671.

2. Pham. D. T. & Dimov. S. S., "Rapid Manufacturing", Springer, 2001, ISBN- 9781852333607

3. Peter D.Hilton, Hilton/Jacobs, Paul F.Jacobs. “Rapid Tooling: Technologies and

Industrial Applications”, Marcel Dekker, Inc, 2003, ISBN- 0824741595.

4. Terry Wohlers,"Wohlers Report 2006",Wohlers Associates, 2006, ISBN 0-9754429-2-9

5. Chua C.K., Leong K.F., and Lim C.S., “Rapid prototyping: Principles and applications”,

World Scientific Publishing Company; 3 Har/Dvdr edition (January 14, 2010), ISBN-

13: 978-9812778970



Course Name CAD LABORATORY - - 4 2

Pre-requisite subjects: Machine Drawing and CAD laboratory

Course Outcomes

Upon Completion of this course the students will be able to

CO1 Understand the basic concepts of modeling and analysis softwares like PRO-E

/ SOLID WORKS /SOLID EDGE/CATIA / NX / ANSYS / NASTRAN etc. CO2 Familiar with the sectioning concepts, drawing standards and Develop part

models by sketching.

CO3 Assemble part models and Create detailed drawing of assembly to

understand 2D views.

LIST OF EXPERIMENTS Total : 60 Hrs

1 Introduction to CAD and solid works

2 Study of Sectional views and types of keys

3 Study of drawing standards

4 Split muff coupling – Part, Assembly and Detail drawing

5 Protected type Flange coupling – Part, Assembly and Detail drawing

6 Pipe vice – Part, Assembly and Detail drawing

7 Screw jack – Part, Assembly and Detail drawing

8 Simple eccentric – Part, Assembly and Detail drawing

9 Universal coupling – Part, Assembly and Detail drawing

10 Plummer block – Part, Assembly and Detail drawing

11 Claw coupling – Part, Assembly and Detail drawing

12 Knuckle joint – Part, Assembly and Detail drawing

13 Bushed Pin type Flexible Coupling – Part, Assembly and Detail drawing

14 Oldham’s coupling – Part, Assembly and Detail drawing

15 Machine Vice – Part, Assembly and Detail drawing

List of Equipments

1. Computer workstation 20

2. Software requirement

CREO /SOLID WORKS /SOLID EDGE/CATIA / NX / NASTRAN



COURSE OUTCOMES


























law.



TEXT BOOKS


Edition, New Age




Edition, 2012.



Edition, 2008.


REFERENCE BOOKS


Delhi, 2013.


edition, Sage

publisher, 2014.



Edition, 2016.


Edition, 2012.



Edition, 2017.




2 0 0 0

Course Outcomes:







Unit – I 6



Unit – II 6



Unit- III 6


Unit – IV 6


Unit – V 6


Text Books:


London, 2011




REFERENCES






Mechanical Engineering

Branch: M.E. Industrial Safety Engineering


Theory

1 P19ISE101 Occupational Health and Industrial Hygiene 3 0 0 3

2 P19ISE102 Principles of Safety Management 3 0 0 3

3 P19ISE103 Environmental Safety 3 0 0 3

4 P19ISE502 Elective-Computer Aided Hazards Analysis 3 0 0 3

5 P19ISE505 Elective- Quality Engineering in Production Systems 3 0 0 3



Practical

8 P19ISE104 Industrial Safety Laboratory 0 0 4 2

Total Credits

19

Approved by

Chairman, Mechanical Engineering BOS Member Secretary, Academic Council Chairperson, Academic Council & Principal

Dr.D.Senthilkumar Dr.R.Shivakumar Dr.S.R.R.Senthil Kumar

Copy to:-

HOD/MECH, First Semester ME ISE Students and Staff, COE


Course Code : P19ISE101

Course Name : OCCUPATIONAL HEALTH AND INDUSTRIAL HYGIENE

Lecture - 3 Hrs/Week Internal Marks 50

Tutorial - 0 Hrs/Week External Marks 50

Practical - Credits 3

Pre-requisites subject: Nil


Co ccc

Outcomes

C01 Explain the concept of physical hazards like noise, sound, radiation and OSHA standards.

C02 state the concept of chemical hazards like gas, fog, fumes and industrial

hygiene calculation.

C03 explain and describe biological and ergonomical hazards and bio hazards control program.

C04 know the concept of occupational health services and industrial

toxicology.

C05 Explain the importance of occupational physiology and work

organization.

UNIT I PHYSICAL HAZARDS L 9 T 0

Noise, compensation aspects, noise exposure regulation, properties of sound, occupational damage, risk factors, sound measuring instruments, octave band analyzer, noise networks, noise surveys, noise

control program, industrial audiometry, hearing conservation programs- vibration, types, effects,

instruments, surveying procedure, permissible exposure limit. Ionizing radiation, types, effects,

monitoring instruments, control programs, OSHA standard- nonionizing radiations, effects, types, radar hazards, microwaves and radio-waves, lasers, TLV- cold environments, hypothermia, wind chill index,

control measures- hot environments, thermal comfort, heat stress indices, acclimatization, estimation

and control

UNIT II CHEMICAL HAZARDS L 9 T 0

Recognition of chemical hazards-dust, fumes, mist, vapour, fog, gases, types, concentration, Exposure

vs. dose, TLV - Methods of Evaluation, process or operation description, Field Survey, Sampling

methodology, Industrial Hygiene calculations, Comparison with OSHAS Standard. Air Sampling instruments, Types, Measurement Procedures, Instruments Procedures, Gas and Vapour monitors, dust

sample collection devices, personal sampling Methods of Control - Engineering Control, Design

maintenance considerations, design specifications - General Control Methods - training and education

UNIT III BIOLOGICAL AND ERGONOMICAL HAZARDS L 9 T 0

Classification of Biohazardous agents – examples, bacterial agents, rickettsial and chlamydial agents,

viral agents, fungal, parasitic agents, infectious diseases - Biohazard control program, employee health program-laboratory safety program-animal care and handling-biological safety cabinets - building

design.

Course Outcomes


UNIT IV OCCUPATIONAL HEALTH AND TOXICOLOGY L 9 T 0

Concept and spectrum of health - functional units and activities of occupational health services, preemployment and post-employment medical examinations - occupational related diseases, levels of

revention of diseases, notifiable occupational diseases such as silicosis, asbestosis, pneumoconiosis,

siderosis, anthracosis, aluminosis and anthrax, lead-nickel, chromium and manganese toxicity, gas

poisoning (such as CO, ammonia, coal and dust etc) their effects and prevention – cardio pulmonary resuscitation, audiometric tests, eye tests, vital function tests. Industrial toxicology, local, systemic

and chronic effects, temporary and cumulative effects, carcinogens entry into human systems

UNIT V OCCUPATIONAL PHYSIOLOGY L 9 T 0

Man as a system component – allocation of functions – efficiency – occupational work capacity – aerobic and anaerobic work – evaluation of physiological requirements of jobs – parameters of

measurements – categorization of job heaviness – work organization – stress – strain – fatigue – rest

pauses – shift work – personal hygiene.

Total Number of Periods: 45

Content beyond syllabus

Preventive medicines

Exposure assessment

Occupational exposure limits

Employment of children

Muscular skeleton disorder

Learning Resources

Text book:

1. Hand book of “Occupational Safety and Health”, National Safety Council, Chicago, 1982

References:

1. Encyclopedia of “Occupational Health and Safety”, Vol.I and II, published by

International Labour Office, Geneva, 1985



Course Name : PRINCIPLES OF SAFETY MANAGEMENT






Course

Outcomes

C01 Evaluate safety concepts and current safety related issues

C02 demonstrate how safety audits should be done and in what

ways the findings should be analyzed.

C03 Explain the principles of accident investigation and prevention

C04 know the various measures of safety performance.

C05 be familiar with present efforts of government and private

agencies to create the safety awareness and training.

UNIT I CONCEPTS AND TECHNIQUES L 9 T 0

History of Safety movement –Evolution of modern safety concept- general concepts of management –

planning for safety for optimization of productivity -productivity, quality and safety-line and staff

functions for safety-budgeting for safety-safety policy. Incident Recall Technique (IRT), disaster control,

job safety analysis, safety survey, safety inspection, safety sampling, evaluation of performance of supervisors on safety.

UNIT II SAFETY AUDIT - INTRODUCTION L 9 T 0

Components of safety audit, types of audit, audit methodology, non conformity reporting (NCR), audit

checklist and report – review of inspection, remarks by government agencies, consultants, experts –

perusal of accident and safety records, formats – implementation of audit indication - liaison with

departments to ensure co-ordination – check list – identification of unsafe acts of workers and unsafe

conditions in the shop floor.

UNIT III ACCIDENT INVESTIGATION AND REPORTING L 9 T 0

Concept of an accident, reportable and non reportable accidents, reporting to statutory authorities – principles of accident prevention – accident investigation and analysis – records for accidents,

departmental accident reports, documentation of accidents – unsafe act and condition – domino

sequence – supervisory role – role of safety committee –cost of accident.

UNIT IV SAFETY PERFORMANCE MONITORING L 9 T 0

ANSI (Z16.1) Recommended practices for compiling and measuring work injury experience –

permanent total disabilities, permanent partial disabilities, temporary total disabilities - Calculation of

accident indices, frequency rate, severity rate, frequency severity incidence, incident rate, accident rate, safety “t” score, safety activity rate – problems.

UNIT V SAFETY EDUCATION AND TRAINING L 9 T 0

Importance of training-identification of training needs-training methods – programs, seminars,

conferences, competitions – method of promoting safe practice - motivation – communication - role of government agencies and private consulting agencies in safety training – creating awareness,

awards, celebrations, safety posters, safety displays, safety pledge, safety incentive scheme, safety

campaign – Domestic Safety and Training.




Safety management systems

OSHA

Environmental protection agency

Emergency planning and response

Permissible exposure limits

Learning Resources

Text book:

1. Heinrich H.W. “Industrial Accident Prevention” McGraw-Hill Company, New York, 1980.

2. Krishnan N.V. “Safety Management in Industry” Jaico Publishing House, Bombay,1997.

3. Lees, F.P., “Loss Prevention in Process Industries” Butterworth publications, London, 2nd edition, 1990.

4. John Ridley, “Safety at Work”, Butterworth and Co., London, 1983.

References:

1. Dan Petersen, “Techniques of Safety Management”, McGraw-Hill Company, Tokyo, 1981.

2. Relevant India Acts and Rules, Government of India.

3. Relevant Indian Standards and Specifications, BIS, New Delhi.

4. Blake R.B., “Industrial Safety” Prentice Hall, Inc., New Jersey, 1973.



Course Name : ENVIRONMENTAL SAFETY






Co ccc

Outcomes

C01 Explain various source of air pollution, and various types of radiation

hazards.

C02 Analize the various water pollutants like industrial effluents and the

methods of treating and disposing them.

C03 Identify the options for collection treatments and disposal of various

solid and radioactive wastages.

C04 Explain the methods, equipments for measuring and control

environmental pollution.

C05 Recommend the ways of pollution control in various process industries.

UNIT I AIR POLLUTION L 9 T 6

Classification and properties of air pollutants – Pollution sources – Effects of air pollutants on human beings, Animals, Plants and Materials - automobile pollution-hazards of air pollution-concept of clean

coal combustion technology - ultra violet radiation, infrared radiation, radiation from sun-hazards due

to depletion of ozone - deforestation-ozone holes-automobile exhausts-chemical factory stack

emissions-CFC.

UNIT II WATER POLLUTION L 9 T 6

Classification of water pollutants-health hazards-sampling and analysis of water-water treatment -

different industrial effluents and their treatment and disposal -advanced wastewater treatment -effluent quality standards and laws- chemical industries, tannery, textile effluents-common treatment.

UNIT III HAZARDOUS WASTE MANAGEMENT L 9 T 6

Hazardous waste management in India-waste identification, characterization and classification

technological options for collection, treatment and disposal of hazardous waste-selection charts for the

treatment of different hazardous wastes-methods of collection and disposal of solid wastes-health

hazards-toxic and radioactive wastes-incineration and vitrification - hazards due to bio-process

dilution- standards and restrictions – recycling and reuse.

UNIT IV ENVIRONMENTAL MEASUREMENT AND CONTROL L 9 T 6

Sampling and analysis – dust monitor – gas analyzer, particle size analyzer – lux meter-pH meter –

gas chromatograph – atomic absorption spectrometer. Gravitational settling chambers-cyclone

separators-scrubbers-electrostatic precipitator - bag filter – maintenance - control of gaseous emission by adsorption, absorption and combustion methods- Pollution Control Board-laws.

Course

Outcomes


UNIT V POLLUTION CONTROL IN PROCESS INDUSTRIES L 9 T 6

Pollution control in process industries like cement, paper, petroleum-petroleum products-textiles, tanneries- thermal power plants – dying and pigment industries - eco-friendly energy.

Environmental and pollution control norms.



Genetically modified organisms

Polluter pays principles

Indian wildlife protection act

Social impact assessment

Healthy development measurement tools

Learning Resources

Text book:

1. Rao, CS, “Environmental pollution engineering:, Wiley Eastern Limited, New Delhi, 1992.

2. S.P.Mahajan, “Pollution control in process industries”, Tata McGraw Hill Publishing Company,New

Delhi, 1993.

References:

1. Varma and Braner, “Air pollution equipment”, Springer Publishers, Second Edition.



Course Name : COMPUTER AIDED HAZARD ANALYSIS


Tutorial - NIL External Marks 50




Course

Outcomes

C01 Explain various types of risks and methodologies for assessing

them and establish risk acceptance levels.

C02 Demonstrate how to use advanced instruments to measure

risk and do various sensitive tests.

C03 Know the principles of risk analysis software and use them for

checking reliability levels.

C04 elaborate the logic of consequence analysis and to plot the affected regions.

C05 analyze the past events to check the credibility of the risk

assessment techniques.

UNIT I HAZARD, RISK ISSUES AND HAZARD ASSESSMENT L 9 T 0 Introduction, hazard, hazard monitoring-risk issue, group or societal risk, individual risk, voluntary and involuntary risk, social benefits Vs technological risk, approaches for establishing risk acceptance levels, Risk estimation. Hazard assessment, procedure, methodology; safety audit, checklist analysis, what-if analysis, safety review, preliminary hazard analysis(PHA), human error analysis, hazard operability studies(HAZOP),safety warning systems. UNIT II COMPUTER AIDED INSTRUMENTS L 9 T 0 Applications of Advanced Equipments and Instruments, Thermo Calorimetry, Differential Scanning Calorimeter(DSC), Thermo Gravimetric Analyser(TGA), Accelerated Rate Calorimeter(ARC), Reactive Calorimeter(RC), Reaction System Screening Tool(RSST) - Principles of operations, Controlling parameters, Applications, advantages. Explosive Testing, Deflagration Test, Detonation Test, Ignition Test, Minimum ignition energy Test, Sensitiveness Test, Impact Sensitiveness Test(BAM) and Friction Sensitiveness Test (BAM). UNIT III RISK ANALYSIS QUANTIFICATION AND SOFTWARES L 9 T 0 Fault Tree Analysis and Event Tree Analysis, Logic symbols, methodology, minimal cut set ranking - fire explosion and toxicity index(FETI), various indices - Hazard analysis(HAZAN)- Failure Mode and Effect Analysis(FMEA)- Basic concepts of Reliability- Software on Risk analysis, CISCON, FETI, HAMGARS modules on Heat radiation, Pool fire, Jet, Explosion. Reliability software on FMEA for mechanical and electrical system s.

UNIT IV CONSEQUENCES ANALYSIS L 9 T 0 Logics of consequences analysis- Fuzzy logic-Estimation- Hazard identification based on the properties of chemicals- Chemical inventory analysis- identification of hazardous processes- Estimation of source term, Gas or vapour release, liquid release, two phase release- Heat radiation effects, BLEVE, Pool fires and Jet fire- Gas/vapour dispersion- Explosion, UVCE and Flash fire, Explosion effects and confined explosion- Toxic effects- Plotting the damage distances on plot plant/layout.


UNIT V CREDIBILITY OF RISK ASSESSMENT TECHNIQUES L 9 T 0 Past accident analysis as information sources for Hazard analysis and consequences analysis of chemical accident, Mexico disaster, Flixborough, Bhopal, Seveso, Pasadena, Feyzin disaster(1966), Port Hudson disaster- convey report, hazard assessment of non-nuclear installation- Rijnmond report, risk analysis of size potentially Hazardous Industrial objects- Rasmussen masses report, Reactor safety study of Nuclear power plant TOTAL NUMBER OF PERIODS = 45


RTCA DO-178B (Software Considerations in Airborne Systems and Equipment Certification)

SAE ARP4761 (System safety assessment process

SWIFT

Medical Device Risk Management - ISO 14971

Learning Resources

TEXT BOOKS

1. Brown, D.B. System analysis and Design for safety, Prentice Hall, 1976. 2. Course Material Intensive Training Programme on Consequence Analysis, by Process Safety Centre, Indian Institute of Chemical Technology, Tarnaka and CLRI, Chennai.

REFERENCES 1. Loss Prevention in Process Industries-Frank P. Less Butterworth-Hein UK 1990 (Vol.I, II and III) 2. Methodologies for Risk and Safety Assessment in Chemical Process Industries, Commonwealth Science Council, UK 3. ILO- Major Hazard control- A practical Manual, ILO, Geneva, 1988. 4. Hazop and Hazom, by Trevor A Klett, Institute of Chemical Engineering.

https://en.wikipedia.org/wiki/DO-178B

https://en.wikipedia.org/wiki/ARP4761

https://en.wikipedia.org/wiki/ISO_14971



Course Name : QUALITY ENGINEERING IN PRODUCTION SYSTEMS






Co ccc

Outcomes

C01 Explain the concept of quality loss function and use it to improve quality

in any production system

C02 Explain various process parameter variables and use them appropriately in an online quality control systems

C03 device and use various process improvement methods for process

diagnosis and adjustment.

C04 Explain various maintenance methods and plan schedules of

maintenance for minimum cost and failure

C05 Differentiate six sigma from various other quality improvement methods

and implement it in an organisation

UNIT I INTRODUCTION TO QUALITY ENGINEERING AND LOSS FUNCTION L 9 T 0

Quality value and engineering- overall quality system-quality engineering in product design – quality engineering in design of production processes - quality engineering in production - quality engineering in service. Loss function Derivation – use-loss function for products/system- justification of improvements-loss function and inspection- quality evaluations and tolerances-N type, S type, L type UNIT II ON-LINE QUALITY CONTROL L 9 T 0

On-line feedback quality control variable characteristics-control with measurement interval- one unit, multiple units-control systems for lot and batch production. On-line process parameter control variable characteristics- process parameter tolerances- feedback control systems-measurement error and process control parameters. UNIT III ON-LINE QUALITY CONTROL ATTRIBUTES AND METHODS FOR PROCESS IMPROVEMENTS L 9 T 0

Checking intervals- frequency of process diagnosis. Production process improvement method process diagnosis improvement method- process adjustment and recovery improvement methods UNIT IV QUALITY ENGINEERING AND TPM L 9 T 0

Preventive maintenance schedules- PM schedules for functional characteristics- PM schedules for large scale systems. Quality tools–fault tree analysis, event tree analysis, failure mode and effect analysis. ISO quality systems. UNIT V SIX SIGMA AND ITS IMPLEMENTATION L 9 T 0

Introduction- definition-methodology- impact of implementation of six sigma-DMAIC method-roles and responsibilities –leaders, champion, black belt, green belts. Do’s and dont’s - readiness of organization – planning-management role- six sigma tools – sustaining six sigma.

Course

Outcomes


TOTAL NUMBER OF PERIODS = 45


FMS

Throughput

Production planning

Reliability engineering

Economic production quantity

Learning Resources

Text Book

1. De Feo J A and Barnard W W, “Six Sigma: Breaktrough and Beyond”, Tata McGraw-Hill,

NewDelhi, 2005.

REFERENCES 1. Taguchi G, Elsayed E A and Hsiang, T.C.,”Quality Engineering in Production Systems”, Mc-Graw-Hill Book company, Singapore, International Edition, 1989 2. Pyzdek T and Berger R W,”Quality Engineering Handbook”, Tata-McGraw Hill, New Delhi, 1996 3. Brue G, “Six Sigma for Managers”, Tata-McGraw Hill, New Delhi, Second reprint, 2002.


Course Code P19ISE104

Course Name INDUSTRIAL SAFETY LABORATORY

Lecture - Internal Marks 60

Tutorial - External Marks 40

Practical 4 Hrs/Week Credits 2

Pre-requisites subject: Engineering thermodynamics and Thermal engineering.

Course

Outcomes


CO1 Measure various levels of hazards elements present in an working

environment

CO2 Use the safety equipments and train others in it

CO3 Use various software packages to analyze the hazards level and

appropriate remedies

LIST OF EXPERIMENTS

Total Hours 60

1. NOISE LEVEL MEASUREMENT AND ANALYSIS Measurement of sound pressure level in dB for Impact, continuous and intermittent

sources at various networks, peak and average values.

2. FRICTION TEST Explosive materials like barium nitrate, gun powder, white powder, amerces

composition etc.

3. IMPACT AND BURSTING STRENGTH TEST Explosive materials like gun powder, white powder, amerces composition etc. Burst strength test of packaging materials like paper bags, corrugated cartoons, wood etc.

Auto ignition temperature test.

4. EXHAUST GAS MEASUREMENT AND ANALYSIS Measurement of Sox, Nox, Cox, hydrocarbons.

5. ENVIRONMENTAL PARAMETER MEASUREMENT Dry Bulb Temperature, Wet Bulb Temperature, Determination of relative humidity, wind

flow and effective corrective effective. Particle size Measurement. Air sampling analysis

6. TRAINING IN USAGE AND SKILL DEVELOPMENT Personal protective equipment:

Respiratory and non-respiratory-demonstration-self contained breathing apparatus.

Safety helmet,belt, hand gloves, goggles, safety shoe, gum boots, ankle shoes, face shield, nose mask, ear plug,ear muff, anti static and conducting plastics/rubber

materials, apron and leg guard.

7. Fire extinguishers and its operations Water Co2

Foam

Carbon dioxide (Co2)

Dry chemical powder


8. Static charge testing on plastic, rubber, ferrous and non-ferrous

materials.

9. Illumination testing - by lux meter and photo meter.

10. Electrical safety Insulation resistance for motors and cabels

Estimation of earth resistance

Earth continuity test Sensitivity test for ELCB

11. Software Usage Accident Analysis Safety Audit Packages

Consequence Analysis (CISCON)

Fire, Explosion and Toxicity Index (FETI)

Reliability Analysis for Mechanical system and Electrical System Failure Mode Analysis

12. First-Aid Road safety signals and symbols

List of Equipments

1. Noise level meter : 1 No

2. Friction tester : 1 No

3. Bursting Strength Tester : 1 No

4. Exhaust gas analyszer: 1 No

5. High volume sampler : 1 No

6. PPE Set : 1 No

7. Fire extinguisher set : 1 No

8. Static charge tester : 1 No

9. First aid kid : 1 No

10. Software : CISION, FETI and Failure Mode analysis



COURSE OUTCOMES


























law.



TEXT BOOKS


Edition, New Age




Edition, 2012.



Edition, 2008.


REFERENCE BOOKS


Delhi, 2013.


edition, Sage

publisher, 2014.



Edition, 2016.


Edition, 2012.



Edition, 2017.




2 0 0 0

Course Outcomes:







Unit – I 6



Unit – II 6



Unit- III 6


Unit – IV 6


Unit – V 6


Text Books:

1.Adrian Wallwork , English for Writing Research Papers, Springer New York Dordrecht

Heidelberg London, 2011

2.HighmanN , Handbook of Writing for the Mathematical Sciences, SIAM.Highman’s

book, 1998.


4.Goldbort R, Writing for Science, Yale University Press, 2006. (available on Google

Books) Total: 30 hours

REFERENCES






Electrical and Electronics Engineering

Branch: M.E. Power Electronics and Drives


Theory

1 P19PED101 Power Electronic Converters 3 0 0 3

2 P19PED102 Modeling and Analysis of Electrical Machines 3 0 0 3

3 P19PED103 Switched Mode and Resonant Converters 3 0 0 3

4 P19PED501 Elective- Power Quality Engineering 3 0 0 3

5 P19PED502 Elective- Mathematical Methods for Power Engineering 2 1 0 3



Practical

8 P19PED104 Power Converters Laboratory 0 0 4 2

Total Credits 22

Approved by

Chairperson, Electrical and Electronics Engineering BOS Member Secretary, Academic Council Chairperson, Academic Council & Principal

Dr.S.Padma Dr.R.Shivakumar Dr.S.R.R.Senthil Kumar

Copy to:-

HOD/EEE, First Semester ME PED Students and Staff, COE


P19PED101 POWER ELECTRONIC CONVERTER 3 0 0 3

COURSE OUTCOMES:


1. Analyze the switching circuits.

2. Analyze and study about the controlled rectifiers.

3. Discuss the various modes of operation of Dc- Dc switch mode converters.

4. Analyze the various types of Choppers.

5. Explain the principles and operations of regulators and cycloconverters.

UNIT I SINGLE PHASE AC-DC CONVERTER 9

Static Characteristics of power diode, SCR and GTO, half controlled and fully controlled converters with

RL, R-L-E loads and freewheeling diodes – continuous and discontinuous modes of operation – inverter

operation –Sequence control of converters – performance parameters: harmonics, ripple, distortion, power

factor – effect of source impedance and overlap-reactive power and power balance in converter circuits-

problems.

UNIT II THREE PHASE AC-DC CONVERTER 9

Semi and fully controlled converter with R, R-L, R-L-E - loads and freewheeling diodes – inverter operation

and its limit – performance parameters – effect of source impedance and overlap – 12 pulse converter-

Problems-Single-Phase and Three-Phase AC to DC converters-Half controlled configurations-operating

domains of three phase full converters and semi-converters-Reactive power considerations

UNIT III DC-DC CONVERTERS 9

Principles of step-down and step-up converters – Analysis of buck, boost, buck-boost and Cuk converters –

time ratio and current limit control – Full bridge converter – Resonant and quasi –Resonant converters-

Problems

UNIT IV INVERTERS 9

Single phase and three phase inverters-Voltage source and Current source inverters-Voltage control and

harmonic minimization in inverters.

UNIT V AC VOLTAGE CONTROLLERS 9

AC to AC power conversion using voltage regulators-Choppers and cyclo-converters-Consideration of

harmonics, introduction to Matrix converters-Design aspects of converters, Few practical applications.

Lecture: 45, Tutorial: 0, Total: 45

REFERENCE BOOKS:

1. Ned Mohan, Undeland and Robbin, “Power Electronics: converters, Application and design”, John’s

Wiley Publication, 3rd

Edition, 2007

2. M.H.Rashid, “Power Electronics”, Prentice Hall of India, 4th

edition, 2014.

3. Gobal K.Dubey, “Fundamentals of Electrical Drives”, Narosal Publishing House,2nd

edition, 2010

4. Vedam Subramanyam, “Electric Drives – Concepts and Applications”, Tata McGraw-Hill publishing

company Ltd., New Delhi, 2nd

edition 2011.

5. P.C Sen “Thyristor DC Drives”, John wiely and sons, New York, 1981.


P19PED102 MODELING AND ANALYSIS OF ELECTRICAL MACHINES 3 0 0 3

COURSE OUTCOMES:


1. Analyze the various electrical parameters in mathematical form.

2. Differentiate the types of reference frame theories and transformation relationships.

3. Compute the electrical machine equivalent circuit parameters and modeling of synchronous

machines

4. Explain vector based control and flux linkages in induction machines

5. Describe various practical issues of different machines.

UNIT I MODELING OF DC MACHINES 9

Principles of Electromagnetic Energy Conversion-Induced EMF-Field excitation: separate, shunt, series

and compound excitation-Commutator action-Calculation of air gap mmf of a single turn full pitch

distributed armature windings - Per phase full pitched and short pitched armature coils (AC machines) -

Calculation of air gap mmf of a DC machine - Introduction to direct axis and quadrature axis theory in

salient pole machines -Calculation of air gap inductances of a synchronous machine.

UNIT II DYNAMIC MODELING OF INDUCTION MACHINES 9

Equivalent circuits- Steady state performance equations-Dynamic modeling of induction machines:

Real time model of a two phase induction machines, Three phase to two phase transformation-

Electromagnetic torque-generalized model in arbitrary reference frames-stator reference frames model-

rotor reference frames model-synchronously rotating reference frame model.

UNIT III DYNAMIC MODELING OF SYNCHRONOUS MACHINES 9

Application of reference frame theory to three phase synchronous machine-dynamic model analysis-Park‟s

equation - Voltage and torque equations - Deviation of steady state phasor relationship from dynamic model

- Generalized theory of rotating electrical machine and Kron‟s primitive machine.

UNIT IV VECTOR CONTROLLED INDUCTION MACHINES 9

Principle of vector control-Direct vector control: flux and torque processor-DVC in stator reference

frames with space vector modulation. Indirect vector control scheme: Derivation and implementation.

Flux weakening operation: principle-flux weakening in stator flux linkage and rotor flux linkage.

UNIT V SPECIAL MACHINES 9

Permanent magnet – Airgap line- Demagnetizing characteristics – Energy density -synchronous machines

with PMs: Machine configuration-flux density distribution-types of PMSM-Vector control of PMSM -

Variable Reluctance Machines: Basics-analysis-practical configuration-circuit wave forms for torque

production- stepping motors.


REFERENCE BOOKS:

1. Charles Kingsle,Jr., A.E. Fitzgerald, Stephen D.Umans, “Electric Machinery”, Mcgraw Hill, 6th

edition, 2005

2. R. Krishnan, “Electric Motor & Drives: Modeling, Analysis and Control”, Prentice Hall of India,

2001

3. Miller, T.J.E., “Brushless Permanent Magnet and Reluctance Motor Drives”, Clarendon Press

4. P.C.Krause “Analysis of Electric Machine” Wiley IEEE Press 2nd Edition, 2010


P19PED103 SWITCHED MODE AND RESONANT CONVERTERS 3 0 0 3

COURSE OUTCOMES:


1. Understand working of different types of converters.

2. Understand components, switch mode topologies & control methods

3. Understand the properties of batteries and its types

4. Perform design calculations of resonant converter topologies

5. Understand the various filter design.

UNIT I DC TO DC CONVERTER TOPOLOGIES 9

Buck, Boost, Buck-Boost-SMPS Topologies- Basic Operation-Waveforms - modes of operation -switching

stresses-Switching and conduction losses-Optimum switching frequency-Practical -voltage, current and

power limits - design relations-Voltage mode control principles- Push-Pull and Forward Converter

Topologies - Basic Operation, Waveforms-Flux Imbalance Problem and Solutions

UNIT II DESIGN OF SWITCHES 9

Transformer Design-Output Filter Design-Switching Stresses and Losses-Forward Converter Magnetics-

Voltage Mode Control- Half and Full Bridge Converters-Basic Operation and Waveforms-Magnetics,

Output Filter, Flux Imbalance, Switching Stresses and Losses, Power Limits, Voltage Mode Control.

UNIT III RESONANT CONVERTERS 9

Classification of Resonant Converters-Basic Resonant Circuit Concepts-Load Resonant Converter, Resonant

Switch Converter, Zero-Voltage Switching Clamped Voltage Topologies-Resonant DC Link Inverters with

Zero Voltage Switching-High Frequency Link Integral Half Cycle Converter-Fly back Converter-

discontinuous mode operation, waveforms, control-Magnetics- Switching Stresses and Losses,

Disadvantages – Continuous Mode Operation, waveforms, control, design relations

UNIT IV SWITCHED MODE POWER SUPPLIES 9

Voltage Mode Control of SMPS- Loop Gain and Stability Considerations-Error Amp– frequency Response

and Transfer Function-Trans-conductance Current Mode Control of SMPS-Current Mode Control-

Advantages- Comparison of Current Mode and Voltage Mode-Current Mode Deficiencies-Slope

Compensation-Study of a typical Current Mode PWM Control IC UC3842-Modeling of SMPS-Small Signal

Approximation- General Second Order Linear Equivalent Circuits.

UNIT V FILTER DESIGN 9

DC Transformer, Voltage Mode SMPS Transfer Function- General Control Law Consideration- EMI

Generation and Filtering in SMPS - Conducted and Radiated- Emission Mechanisms in SMPS-Techniques

to reduce Emissions, Control of Switching Loci-Shielding and Grounding, Power Circuit Layout for

minimum EMI-EMI Filtering at Input and Output, Effect of EMI Filter on SMPS Control Dynamics.

Introduction to Resonant Converters.


REFERENCE BOOKS:

1. Abraham I Pressman, “Switching Power Supply Design,”. McGraw Hill Publishing Company, 2009.

2. Daniel M Mitchell, “DC-DC Switching Regulator Analysis,” McGraw Hill Publishing Company-

1988.

3. Ned Mohan et.al, “Power Electronics,” John Wiley and Sons, 2007.


P19PED104 POWER CONVERTERS LABORATORY 0 0 4 2

COURSE OUTCOMES:


1. Model power electronic converter system and ability to implement in simulation tool.

2. Design and implement inverter for power electronic control applications.

3. Design and operate a power converter in buck and boost mode.

LIST OF EXPERIMENTS

1. Modeling of MOSFET/IGBT

2. Simulation of single phase Semi converter

(i) R Load (ii) RL Load (iii) RLE (motor) Load

3. Simulation of single phase fully controlled converter

(i) R Load (ii) RL Load (iii) RLE (motor) Load

4. Simulation of single phase dual converter

5. Simulation of three phase semi converter.

6. Simulation of three phase fully controlled converter

7. Simulation of Single phase full bridge Inverter

8. Simulation of three phase full bridge inverter.

i. 180 degree mode operation

ii. 120 degree mode operation

9. Simulation of three phases AC Voltage Controller.

i. Lamp load

ii. Motor load

10. Simulation of PWM inverter fed three phase induction motor control.

11. Simulation of Buck and Boost Converter with Open Loop Operation.

12. Simulation of Z-Source Inverter.

(Software experiments are performed using MATLAB)

Total : 60 Hours


P19PED501 POWER QUALITY ENGINEERING 3 0 0 3

COURSE OUTCOMES:

At the end of this course the students will be able to,

1. Describe the basic power quality issues.

2. Discuss about voltage related problems.

3. Evaluate harmonics in power system due to power electronic devices.

4. Evaluate power quality using measuring equipment.

5. Improve the power quality using different types of filters.

UNIT I INTRODUCTION 9

Power quality, Voltage quality – power quality evaluation procedure – overview of power quality

phenomena – classification of power quality problems – power quality measures and standards – THD-TIF-

DIN-C-message weights – flicker factor – occurrence of power quality problems – power acceptability

curves – overview of EMC and IEEE standards.

UNIT II VOLTAGE SAGS AND INTERRUPTIONS 9

Long Interruptions: Causes – generation, transmission and distribution reliability – basic concepts of

reliability evaluation techniques – costs.

Short Interruptions: Origin – influence on motors and electronic equipment – single phase tripping.

Sags:Introduction – sag magnitude, duration – load influence on voltage sags – sags in adjustable speed AC

and DC drives.

UNIT III HARMONIC DISTORTION 9

Harmonic distortion – harmonics versus transients – harmonic indices – harmonic sources from commercial

and industrial loads – locating harmonic sources – SMPS – Three phase power converters – arcing devices –

Harmonic Distortion of fluorescent lamps – effects of harmonic distortion – inter-harmonics – principles for

controlling harmonics –devices for controlling harmonic distortion.

UNIT IV POWER QUALITY MONITORING 9

Monitoring considerations –power quality measurement equipment – power quality data assessment – basic

design of an expert system for monitoring applications – power quality monitoring in internet.

UNIT V POWER QUALITY IMPROVEMENT 9

Static compensator – Distribution static compensator – Dynamic voltage restorer – Power factor corrector –

Active filters – Shunt active filters – applications – PSCAD / EMTDC – simulation of Active filters.

Lecture: 45, Tutorial: 0, Total: 45 Hrs

REFERENCE BOOKS:

1. Math H.J. Bollen, “Understanding Power Quality Problems: Voltage sags and interruptions”, IEEE press, 2011.

2. Roger C. Dugan, “Electrical power Systems Quality”, McGraw Hill Education, Third edition, 2012.

3. Arrillaga J, Watson NR, Chen S, “Power System Quality Assessment”, John Wiley & Sons, 2011.

4. Heydt G T, “Electric Power Quality”, Stars in a Circle Publications, 1991.


M. E. – POWER ELECTRONICS AND DRIVES

SEMESTER – I MATHEMATICAL METHODS FOR POWER

ENGINEERING

L T P C

P19PED502 2 1 0 3

COURSE OUTCOMES


1 find the rank of the matrix and solve linear system of equations by direct and indirect methods.

2. apply the concepts of eigen values and eigen vectors of a real matrix and their properties in

diagonalization.

3. find the power spectral density for the wide sense stationary process.

4. apply the suitable methods to solve linear programming problem.

5. apply the appropriate methods to solve nonlinear programming problem.

UNIT – I LINEAR SYSTEM OF EQUATIONS 9

Rank of a matrix – Solution of linear system of equations by matrix method, Gauss elimination, Gauss

– Jordan, Gauss – Jacobi and Gauss – Seidel methods.

UNIT – II EIGEN VALUES AND EIGEN VECTORS 9

Eigen values and eigen vectors – Properties of eigen values and eigen vectors – Cayley-Hamilton

theorem – Diagonalization of symmetric matrices .

UNIT – III RANDOM PROCESSES 9

Classification of random processes – First order, second order, strictly stationary, wide-sense

stationary processes – Auto correlation function and its properties – Power spectral density function

and its properties.

UNIT – IV LINEAR PROGRAMMING 9

Simplex algorithm – Big–M method – Transportation problem – Assignment problem.


UNIT – V NONLINEAR PROGRAMMING 9

Formulation of nonlinear programming problem – Constrained optimization with equality

constraints – Constrained optimization with inequality constraints – Kuhn-Tucker conditions

with non-negative constraints.

Theory: 30 Hours Tutorial: 15 Hours Total: 45 Hours

TEXT BOOKS:

1. P. K. Gupta and D. S. Hira, “Problems in Operation Research”, Sultan Chand and Sons

Publishers, 4th

Edition, 2015.

2. T. Veerarajan, “Probability, Statistics and Random Processes with Queueing Theory and

Queueing Networks”, McGraw Hill Publishers, 4th

Edition, 7th

Reprint, 2018.

3. T. Veerarajan, “Linear Algebra and Calculus”, McGraw Hill Publishers, 2019.

REFERENCE BOOKS:

1. H. A. Taha, “Operation Research: An Introduction”, Pearson Publishers, 9th

Edition, 2014.

2. M. K. Venkataraman, “Higher Mathematics for Engineering and Science”, National Publishers,

2000.

3. B. S. Grewal, “Higher Engineering Mathematics”, Khanna Publishers, 44th

Edition, 2018.



COURSE OUTCOMES


























law.



TEXT BOOKS


Edition, New Age




Edition, 2012.



Edition, 2008.


REFERENCE BOOKS


Delhi, 2013.


edition, Sage

publisher, 2014.



Edition, 2016.


Edition, 2012.



Edition, 2017.




2 0 0 0

Course Outcomes:







Unit – I 6



Unit – II 6



Unit- III 6


Unit – IV 6


Unit – V 6


Text Books:


London, 2011




REFERENCES






Electrical and Electronics Engineering

Branch: M.E. Power Systems Engineering


Theory

1 P19PSE101 Advanced Power System Analysis 3 0 0 3

2 P19PSE102 Electric and Hybrid Vehicles 3 0 0 3

3 P19PSE103 High Voltage and Insulation Systems 3 0 0 3

4 P19PSE501 Elective- Power Quality Engineering 3 0 0 3

5 P19PSE502 Elective- Mathematical Methods for Power Engineering 2 1 0 3



Practical

8 P19PSE104 Advanced Power System Simulation Laboratory-I 0 0 4 2

Total Credits 19

Approved by

Chairperson, Electrical and Electronics Engineering BOS Member Secretary, Academic Council Chairperson, Academic Council & Principal

Dr.S.Padma Dr.R.Shivakumar Dr.S.R.R.Senthil Kumar

Copy to:-

HOD/EEE, First Semester ME PSE Students and Staff, COE


P19PSE101 ADVANCED POWER SYSTEM ANALYSIS 3 0 0 3

COURSE OUTCOMES:

At the end of the course, the students will be able to,

1. Compute solutions for large scale power systems using sparsity and optimal ordering schemes.

2. Analyze the power flow methods to find power flow solutions for various power networks.

3. Calculate the symmetrical and unsymmetrical fault parameters in typical power systems.

4. Carry out security assessment and enhancement procedures for various power networks.

5. Estimate the power system states using various techniques.

UNIT I SOLUTION TECHNIQUES 9

Sparsematrix techniques for large scale power systems- Optimally ordered Triangular Factorization-

Triangular Decomposition- Gaussian Elimination- Triangular Decomposition of table of factors- Bi-

factorization method- Sparsity and Optimal Ordering schemes- Comparative advantages for a sparse matrix.

UNIT II POWER FLOW SOLUTIONS 9

Power flow equation for “n” bus system-Overview of Gauss seidel and Newton Raphson method- Fast

Decoupled power flow method- Power flow studies in system design and operation-Regulating

Transformers.

UNIT III FAULT ANALYSIS 9 Types of faults- Transient on power system components- Symmetrical fault analysis using bus impedance

matrix – Concepts in symmetrical components of unsymmetrical phasors- Sequence networks for various

power system components- Unsymmetrical fault analysis in power systems.

UNIT IV SECURITY ANALYSIS 9

Factors affecting power system security - Security state diagram- Security assessment using Linear

sensitivity factors- Generation shift and Line-outage distribution factors- Contingency analysis using

sensitivity factors- Security enhancement by preventive, emergency and restorative control.

UNIT V STATE ESTIMATION 9

Introduction – Maximum Likelihood Weighted Least Squares Estimation-State Estimation of an AC

network- State estimation by Orthogonal Decomposition algorithm- Detection and Identification of Bad

measurements- Network Observability and Pseudo measurements- Application of power system state

estimation.


REFERENCE BOOKS:

1. John J. Grainger, William D. Stevenson, “Power System Analysis”, Mc- Graw Hill, Reprint Edition,

2017.

2. Prabha Kundur, “Power System Stability and Control”, Tata McGraw-Hill, 2014.

3. Allen J Wood, Bruce F Wollenberg, “Power Generation and Control”, John Wiley & Sons, New

york, reprint edition, 2015.

4. M.A.Pai, “Computer Techniques in Power System Analysis”, Tata McGraw- Hill publishing ltd,

New Delhi, 2014.

5. P.Venkatesh, B.V.Manikandan, S.Charles raja and A.Srinivasan, “Electrical power systems-

Analysis, security and Deregulation”, PHI Learning Pvt Ltd, New Delhi, 2016.


P19PSE102 ELECTRIC AND HYBRID VEHICLES 3 0 0 3

COURSE OUTCOMES:


1. Explain the necessity of hybrid electric vehicle and to model vehicles for its performance analysis.

2. Illustrate the basic concepts of hybrid and electric drive train topologies and explain power flow

control with fuel efficiency analysis.

3. Explain the configuration and control of various motor drives used in hybrid and electric vehicles

and to elaborate on the energy storage requirements for the electric vehicles.

4. Compare the performance of electric motor with IC engine in order to select Electric drive and

energy storage technology and to explain various vehicle communication subsystems.

5. Classify and compare different energy management strategies and list the issues pertaining to its

implementation.

UNIT I INTRODUCTION TO HYBRID ELECTRIC VEHICLE 9

History of hybrid and electric vehicles- social and environmental importance of hybrid and electric vehicles-

impact of modern drive-trains on energy supplies. Conventional Vehicles: Basics of vehicle performance,

vehicle power source characterization, transmission characteristics and mathematical models to describe

vehicle performance.

UNIT II HYBRID TRAIN ARCHITECTURES AND POWER FLOW MANAGEMENT

9

Fundamental concept of hybrid traction- introduction to various hybrid drive-train topologies power flow

control in hybrid drive-train architectures- fuel efficiency analysis. Basic concepts of electric traction-

introduction to various electric drive-train topologies- power flow control in hybrid drive -train topologies-

fuel efficiency analysis.

UNIT III ELECTRIC PROPULSION AND ENERGY STORAGE 9

Introduction to hybrid and electric vehicles- Configuration and control of DC Motor drives -AC Motor

drives- Permanent Magnet Motor drives- Switch Reluctance Motor drives and drive system efficiency.

Energy storage requirements in Electric and Hybrid electric vehicles, Battery types, Properties of

Batteries, Parameters – Capacity, Discharge rate, State of charge, state of Discharge, Depth of

Discharge, Technical characteristics, Battery Modeling - Run Time Battery Model, First Principle

Model, Battery pack Design.

UNIT IV PERFORMANCE ANALYSIS AND VEHICLE COMMUNICATION SYSTEMS

9

Matching the electric machine and the internal combustion engine (ICE)- Sizing the propulsion motor-

sizing the power electronics- selecting the energy storage technology. Communications supporting

subsystems- Introduction to CAN, LIN, FLEXRAY, MOST, KWP 2000 - Details of CAN, Introduction to

V2V, V2I systems.

UNIT V ENERGY MANAGEMENT STRATEGIES 9

Introduction to energy management strategies used in hybrid and electric vehicle- classification of different

energy management strategies- comparison of different energy management strategies- implementation

issues of energy strategies.



REFERENCES BOOKS:

1. Iqbal Husain, "Electric and Hybrid vehicles Design Fundamentals", CRC Press, second edition 2013.

2. James Larminie, John Lowry, "Electric vehicle technology Explained" second Edition,Wiley 2012.

3. Ion Boldea and S.A Nasar “Electric drives”, CRC Press, 2005.

4. Mehrdad Ehsani, YimiGao, Sebastian E. Gay, Ali Emadi, Modern Electric, Hybrid Electric and Fuel

Cell Vehicles: Fundamentals, Theory and Design, CRC Press, 2004.

5. Sheldon S. Williamson, “Energy Management Strategies for Electric and Plug-in Hybrid Electric

Vehicles”, Springer, 2013.


P19PSE103 HIGH VOLTAGE AND INSULATION SYSTEMS 3 0 0 3

COURSE OUTCOMES:


1. Describe the various insulating materials used in power system

2. Illustrate breakdown mechanism of solid, liquid and gaseous dielectrics

3. Explain the high voltage generation methods and measurements

4. Evaluate insulation testing of electrical equipments

5. Describe the various Non-destructive testing in high voltage.

UNIT I INSULATING MATERIALS IN POWER SYSTEM 9

Review of insulating materials Gases, Vacuum, liquids and solids- characterization of insulation condition –

permittivity, capacitance, resistivity and insulation resistance, dielectric dissipation factors- partial

discharges sources, forms and effects- ageing effects- electrical breakdown and operating stresses- standards

relating to insulating materials.

UNIT II BREAKDOWN MECHANISMS OF SOLID, LIQUID AND

GASEOUS DIELECTRICS 9

Introduction to insulation systems used in high voltage power apparatus - breakdown mechanisms of solid,

liquid, gas and vacuum insulation.

UNIT III BASIC METHODS OF GENERATION AND MEASUREMENT OF

TEST HIGH VOLTAGES 9

Generation of high alternating voltages: cascaded transformers and series resonant circuit- Generation of

high dc voltages: rectifier circuit and voltage multiplier circuit- Generation of impulse voltages: multistage

impulse generator circuit- Generation of impulse currents – Measurement of high ac, dc and impulse

voltages: voltage divider circuits- Digital Storage Oscilloscope for impulse voltage and current

measurements.

UNIT IV INSULATION TESTING OF ELECTRICAL EQUIPMENTS 9

Necessity for high voltage testing - testing of distribution and power transformers - voltage transformers -

current transformers - bushings – overhead line and substation insulators - surge arresters – high voltage

cables - circuit breakers and isolators – IEC and Indian standards.

UNIT V NON-DESTRUCTIVE TESTING 9

Insulation resistance measurement- Measurement of tan delta and capacitance of dielectrics - grounded

objects like transformers and alternators – Measurement of Partial discharges - location and measurement of

discharges in electrical equipment –Dissolved gas in oil measurement.



REFERENCE BOOKS:

1. Naidu,M.S. and Kamaraju,V., High Voltage Engineering, Tata McGraw Hill Publishing Company

Ltd., New Delhi, 5th

edition, 2013.

2. Kuffel,E. and Zaengl, W.S., High Voltage Engineering Fundamentals, Pergamon Press, Oxford,New

York 2000.

3. R.E.James and Q.Su, Condition assessment of high voltage insulation in power system equipment, IET

Power and Energy Series 53, 2008

4. Adrianus,J. Dekker, Electrical Engineering Materials, Prentice Hall of India Pvt. Ltd., New Delhi,

1979.

5. Gallagher,T.J., and Permain,A., High Voltage Measurement, Testing and Design, John Wiley Sons,

New York, 1984.

6. IEC & IS Standards on testing.


P19PSE104 ADVANCED POWER SYSTEM SIMULATION LABORATORY 0 0 4 2

COURSE OUTCOMES:

At the end of this course, the students will be able to,

1. Compute load flow, contingency economic dispatch and unit commitment solutions for various

power systems.

2. Analyze different power systems by carrying out various short circuit and state estimation

techniques.

3. Model and simulate AGC and AVR systems for given power system.

(All simulation shall be performed using suitable simulation softwares).

LIST OF EXPERIMENTS

1. Load flow analysis by Newton-Raphson method

2. Load flow analysis by Fast decoupled method

3. Contingency analysis: to calculate sensitivity factors.

4. Economic dispatch using lambda-iteration method

5. Unit commitment: Priority-list schemes and dynamic programming.

6. Short circuit analysis in power system.

7. State estimation of power system network

8. Automatic Generation control for power system network

9. Familiarization of Relay Test Kit

10. Modeling and Simulation of AVR.

Total : 60 Hours


P19PSE501 POWER QUALITY ENGINEERING 3 0 0 3

COURSE OUTCOMES:


1. Describe the basic power quality issues.

2. Discuss about voltage related problems.

3. Evaluate harmonics in power system due to power electronic devices.

4. Evaluate power quality using measuring equipment.

5. Improve the power quality using different types of filters.


Power quality, Voltage quality – power quality evaluation procedure – overview of power quality

phenomena – classification of power quality problems – power quality measures and standards – THD-TIF-

DIN-C-message weights – flicker factor – occurrence of power quality problems – power acceptability

curves – overview of EMC and IEEE standards.

UNIT II VOLTAGE SAGS AND INTERRUPTIONS 9

Long Interruptions: Causes – generation, transmission and distribution reliability – basic concepts of

reliability evaluation techniques – costs.

Short Interruptions: Origin – influence on motors and electronic equipment – single phase tripping.

Sags:Introduction – sag magnitude, duration – load influence on voltage sags – sags in adjustable speed AC

and DC drives.

UNIT III HARMONIC DISTORTION 9

Harmonic distortion – harmonics versus transients – harmonic indices – harmonic sources from commercial

and industrial loads – locating harmonic sources – SMPS – Three phase power converters – arcing devices –

Harmonic Distortion of fluorescent lamps – effects of harmonic distortion – inter-harmonics – principles for

controlling harmonics –devices for controlling harmonic distortion.

UNIT IV POWER QUALITY MONITORING 9

Monitoring considerations –power quality measurement equipment – power quality data assessment – basic

design of an expert system for monitoring applications – power quality monitoring in internet.

UNIT V POWER QUALITY IMPROVEMENT 9

Static compensator – Distribution static compensator – Dynamic voltage restorer – Power factor corrector –

Active filters – Shunt active filters – applications – PSCAD / EMTDC – simulation of Active filters.


REFERENCE BOOKS:

1. Math H.J. Bollen, “Understanding Power Quality Problems: Voltage sags and interruptions”, IEEE

press, 2011. 2. Roger C. Dugan, “Electrical power Systems Quality”, McGraw Hill Education, Third edition, 2012.

3. Arrillaga J, Watson NR, Chen S, “Power System Quality Assessment”, John Wiley & Sons, 2011.

4. Heydt G T, “Electric Power Quality”, Stars in a Circle Publications, 1991.


M. E. – POWER SYSTEM ENGINEERING

SEMESTER – I MATHEMATICAL METHODS FOR POWER

ENGINEERING

L T P C

P19PSE502 2 1 0 3

COURSE OUTCOMES


1 find the rank of the matrix and solve linear system of equations by direct and indirect methods.

2. apply the concepts of eigen values and eigen vectors of a real matrix and their properties in

diagonalization.

3. find the power spectral density for the wide sense stationary process.

4. apply the suitable methods to solve linear programming problem.

5. apply the appropriate methods to solve nonlinear programming problem.

UNIT – I LINEAR SYSTEM OF EQUATIONS 9

Rank of a matrix – Solution of linear system of equations by matrix method, Gauss elimination, Gauss

– Jordan, Gauss – Jacobi and Gauss – Seidel methods.

UNIT – II EIGEN VALUES AND EIGEN VECTORS 9

Eigen values and eigen vectors – Properties of eigen values and eigen vectors – Cayley-Hamilton

theorem – Diagonalization of symmetric matrices.

UNIT – III RANDOM PROCESSES 9

Classification of random processes – First order, second order, strictly stationary, wide-sense

stationary processes – Auto correlation function and its properties – Power spectral density function

and its properties.

UNIT – IV LINEAR PROGRAMMING 9

Simplex algorithm – Big–M method – Transportation problem – Assignment problem.


UNIT – V NONLINEAR PROGRAMMING 9

Formulation of nonlinear programming problem – Constrained optimization with equality

constraints – Constrained optimization with inequality constraints – Kuhn-Tucker conditions

with non-negative constraints.

Theory: 30 Hours Tutorial: 15 Hours Total: 45 Hours

TEXT BOOKS:

1. P. K. Gupta and D. S. Hira, “Problems in Operation Research”, Sultan Chand and Sons

Publishers, 4th

Edition, 2015.

2. T. Veerarajan, “Probability, Statistics and Random Processes with Queueing Theory and

Queueing Networks”, McGraw Hill Publishers, 4th

Edition, 7th

Reprint, 2018.

3. T. Veerarajan, “Linear Algebra and Calculus”, McGraw Hill Publishers, 2019.

REFERENCE BOOKS:

1. H. A. Taha, “Operation Research: An Introduction”, Pearson Publishers, 9th

Edition, 2014.

2. M. K. Venkataraman, “Higher Mathematics for Engineering and Science”, National Publishers,

2000.

3. B. S. Grewal, “Higher Engineering Mathematics”, Khanna Publishers, 44th

Edition, 2018.



COURSE OUTCOMES


























law.



TEXT BOOKS


Edition, New Age




Edition, 2012.



Edition, 2008.


REFERENCE BOOKS


Delhi, 2013.


edition, Sage

publisher, 2014.



Edition, 2016.


Edition, 2012.



Edition, 2017.




2 0 0 0

Course Outcomes:







Unit – I 6



Unit – II 6



Unit- III 6


Unit – IV 6


Unit – V 6


Text Books:


London, 2011




REFERENCES






Electronics and Communication Engineering

Branch: M.E. VLSI Design


Theory

1 P19VLD101 Graph Theory and Combinatorics 3 0 0 3

2 P19VLD102 Advanced Digital System Design 3 1 0 4

3 P19VLD103 CMOS Digital VLSI Design 3 0 0 3

4 P19VLD104 Solid State Device Modeling and Simulation 3 0 0 3

5 P19VLD105 DSP Integrated Circuits 3 0 0 3


7 P19GE702 Audit Course-Stress Management by Yoga 2 0 0 0

Practical

8 P19VLD107 VLSI Design Laboratory 0 0 2 1

Total Credits 19

Approved by

Chairman, Electronics and Communication Engineering BOS Member Secretary, Academic Council Chairperson, Academic Council & Principal

Dr.R.S.Sabeenian Dr.R.Shivakumar Dr.S.R.R.Senthil Kumar

Copy to:-

HOD/ECE, First Semester ME VLSI Students and Staff, COE


P19VLD101 GRAPH THEORY AND COMBINATORICS 3 0 0 3

COURSE OUTCOMES :

At the end of the course, the students should be able to,

1. Apply the counting principles to the real world problems.

2. Solve the homogeneous and nonhomogeneous recurrence relations by the method of substitution and

generating functions.

3. Compute the shortest path and minimal spanning tree of a weighted graph through algorithms.

4. Analyze the matching and connectivity of a graph.

5. Apply the concepts of planarity and coloring of a graph in a network problem.

UNIT – I COMBINATORICS 9

Mathematical Induction – Basics of counting – Permutations and Combinations – Enumeration of

permutations and combinations with constrained repetitions – Enumeration of permutations and combinations

without constrained repetitions – Principle of inclusion and exclusion.

UNIT – II RECURRENCE RELATIONS 9

Generating functions of sequences – Calculating coefficients of generating functions – Recurrence relations –

Solving recurrence relations by substitution and generating functions – Method of characteristic roots –

Solutions of homogeneous and nonhomogeneous recurrence relations.

UNIT – III GRAPH THEORY 9

Fundamental concepts of graph – Paths – Cycles – Trails – Vertex degrees and counting – Trees and distance

– Shortest path algorithm (Dijkstra’s &Warshall’s algorithm) – Spanning Trees –Optimization and trees

(Prim’s &Kruskal’s algorithm).

UNIT – IV MATCHING AND CONNECTIVITY 9

Matching and coverings – Optimal assignment problem – Travelling salesman problem – Vertex and edge connectivity –

Network flow problems.

UNIT – V COLORING AND PLANAR GRAPHS 9

Vertex coloring – Edge coloring – Chromatic polynomial – Color critical graphs – Planar graphs – Duality –

Euler’s formula – Characterization of planar graphs – Parameters of planarity.

Total: 45 Hours


TEXT BOOK:

1. D. B. West, "Introduction to Graph Theory", Pearson Publishers, 2nd

Edition, 2017.

REFERENCE BOOKS:

1. N. Deo, “Graph Theory with Applications to Engineering and Computer Science”, Dover Publishers, 1st

Edition, 2016.

2. J. L. Mott, A. Kandel and T. P. Baker, “Discrete mathematics for Computer Scientists and

Mathematics", Brady Publishers, 2nd

Edition, 1985.

3. R. J. Wilson, "Introduction to Graph Theory", Pearson Publishers, 4th

Edition, 2009.

4. R. Balakrishnan and K. Ranganathan, “A Textbook of Graph Theory”, Springer Publishers, 2nd

Edition,

2012.

5. V. K. Balakrishnan, “Graph Theory”, Mc Graw Hill Publishers, 1st Edition, 2004.


P19VLD102 ADVANCED DIGITAL SYSTEM DESIGN 3 1 0 4

COURSE OUTCOMES :

At the end of each unit, the students will be able to -

1. Design and analyze the synchronous sequential circuits.

2. Design and analyze synchronous sequential circuits using ASM.

3. Design and analyze asynchronous sequential circuits.

4. Analyze and verify variable entered maps.

5. Design system controllers using combinational and sequential circuits.

UNITI SYNCHRONOUS SEQUENTIAL CIRCUIT DESIGN

Structure and Operation of Clocked Synchronous Sequential Networks – Analysis of Clocked

Synchronous Sequential Circuits – Modeling of Clocked Synchronous Sequential Network Behavior –

Serial Binary Adder Using Mealy and Moore Networks – Sequence Recognizer – State Table

Reduction – State Assignment – Design of Clocked Synchronous Sequential Circuits.

12

UNIT

II

SYNCHRONOUS SEQUENTIAL CIRCUIT DESIGN USING ASM

Algorithmic State Machine – ASM Charts – ASM Blocks – Sequence Recognition Using ASM Charts

– State Assignments – ASM Transition Tables – ASM Excitation Tables – ASM Realization Using

Discrete Gates – Multiplexers – Design of Iterative Circuits.

12

UNIT

III

ASYNCHRONOUS SEQUENTIAL CIRCUIT DESIGN

Structure and Operation of Asynchronous Sequential Networks – Analysis of Asynchronous Sequential

Circuit – Races and Hazards in Asynchronous Sequential Networks – Primitive Flow Table –

Reduction of Input Restricted Flow Tables – Flow Table Reduction – State Assignment Problem and

the Transition Table - Design of Asynchronous Sequential Circuits.

12

UNIT

IV

SYNCHRONOUS DESIGN USING PROGRAMMABLE DEVICES

Programming logic device families – PLAs – PROMs - Designing a synchronous sequential circuit

using PLA/PAL – Realization of finite state machine using PLD – FPGA – Xilinx FPGA-Xilinx 4000.

12

UNIT

V

SYSTEM DESIGN USING VERILOG

Hardware Modelling with Verilog HDL – Logic System, Data Types and Operators For Modelling in

Verilog HDL - Behavioural Descriptions in Verilog HDL – HDL Based Synthesis – Synthesis of Finite

State Machines– structural modeling – compilation and simulation of Verilog code –Test bench -

Realization of combinational and sequential circuits using Verilog – Registers – counters – sequential

machine – serial adder – Multiplier- Divider – Design of simple microprocessor.

12

Total: 60 Hours

REFERENCE BOOKS

1. Donald G. Givone, “Digital principles and Design”, Tata McGraw Hill, 2013.

2. William I. Fletcher, “An Engineering Approach to Digital Design”, Prentice Hall India, 2009.

3. Charles H. Roth Jr,,“Fundamentals of Logic design”, Thomson Learning, 2004.

4. Nripendra N Biswas, “Logic Design Theory”, Prentice Hall of India, 2005.


P19VLD103 CMOS DIGITAL VLSI DESIGN 3 0 0 3

COURSE OUTCOMES :


1. Illustrate the VLSI design and fabrication processes of MOSFETs.

2. Describe and evaluate the MOSFET operations and modeling of MOSFETS.

3. Analyze and evaluate the static and switching characteristics of CMOS inverters.

4. Design combinational and sequential logic circuits using CMOS principles.

5. Analyze tradeoffs of the various circuit choices for each of the building block.

UNIT

I

INTRODUCTION AND FABRICATION OF MOSFETS

Overview of VLSI Design Methodologies – VLSI Design Flow – Design Hierarchy – Concepts of

Regularity, Modularity and Locality – VLSI Design Styles – Design Quality – Packaging Technology –

Fabrication Process Flow Basic Steps – The CMOS n-Well Process – Layout Design Rules – Full-Custom

Mask Layout Design.

9

UNIT

II

MOS TRANSISTORS AND IT’S MODELING USING SPICE

The MOS Structure – The MOS System under External Bias – Structure and Operation of MOS Transistor

– MOSFET Current-Voltage Characteristics – MOSFET Scaling and Small-Geometry Effects – MOSFET

Capacitances – Basic Concepts of Modeling of MOS – The LEVEL 1 Model Equations – The LEVEL 2

Model Equations – The LEVEL 3 Model Equations – State-of-the-Art MOSFET Models – Capacitance

Models – Comparison of the SPICE MOSFET Models.

9

UNIT

III

MOS INVERTERS AND CHARACTERISTICS

Static Characteristics of Resistive Load Inverter – Inverters with n-Type MOSFET Load – CMOS Inverter

– Introduction of Switching Characteristics – Delay Time – Determination of delay Times – Inverter

Design with Delay Constraints – Estimation of Interconnect Parasitics – Calculation of Interconnect Delay

– Switching power Dissipation of CMOS inverters.

9

UNIT

IV

COMBINATIONAL AND SEQUENTIAL CMOS LOGIC CIRCUITS

MOS Logic Circuits with Depletion nMOS Loads – CMOS Logic Circuits – CMOS Complex Logic

Circuits – CMOS Transmission Gates – Behavior of Bistable Elements – CMOS SR Latch Circuit – CMOS

Clocked Latch and CMOS Flip – Flop Circuits – CMOS D-Latch and CMOS Edge-Triggered Flip-Flop.

9

UNIT

V

ARITHMETIC BUILDING BLOCKS AND MEMORY ARCHITECTURES Data path circuits, Architectures for Adders, Accumulators, Multipliers, Barrel Shifters, Speed and Area

Tradeoffs, Memory Architectures, and Memory control circuits.

9

Lecture: 45 Hours, Tutorial: -, Practical: -, Total: 45 Hours

REFERENCE BOOKS

1. Sung-Mo Kang and Yusuf Leblebici, “CMOS Digital Integrated Circuits - Analysis and Design”, McGraw Hill

Education (India) Pvt. Ltd., 3rd

Edition, 2019

2. Bhaskar J., “A Verilog HDL Primer”, B. S. Publications, 2nd

Edition, 2018.

3. R. Jacob Baker, “CMOS circuit design, Layout, and Simulation”, John Wiley and Sons, 2012.

4. Neil H.E. Weste and Kamran Eshraghian, “Principles of CMOS VLSI Design - A System Perspective”, Pearson

Education ASIA, 2nd

Edition, 2010.

5. John P. Uyemura, “Introduction to VLSI Circuits and Systems”, John Wiley & Sons, Inc., 2006.


P19VLD104 SOLID STATE DEVICE MODELING AND SIMULATION 3 0 0 3

COURSE OUTCOMES :


1. Comprehend and analyze MOSFET device operation.

2. Analyze and illustrate the modeling technique for noise and its distortion.

3. Design and analyze the modeling of BSIM4 MOSFET models.

4. Design and evaluate other MOSFET models.

5. Analyze the modeling of passive devices and process variation.

UNIT

I

MOSFET DEVICE PHYSICS AND OPERATION

The MOS Capacitor – Threshold Voltage – MOS Capacitance – MOS Charge Control Model – Basic

MOSFET Operation – Basic MOSFET Modeling – Advanced MOSFET – Equivalent Circuit

Representation of MOS Transistors.

9

UNIT

II

NOISE MODELING AND DISTORTION ANALYSIS

Noise Sources in a MOSFET – Flicker Noise Modeling – The Physical Mechanisms of Flicker Noise –

Flicker Noise Models – Thermal Noise Modeling – Existing Thermal Noise Models – HF Noise

Parameters – Analytical Calculation of the Noise Parameters - Calculation of Distortion in Analog

CMOS Circuits.

9

UNIT

III

BSIM4 MOSFET MODEL

An Introduction to BSIM4 – Gate Dielectric Model –Threshold Voltage Model – Channel Charge

Model – Mobility Model – Source/Drain Resistance Model – I-V Model – Gate Tunneling Current

Model – Substrate Current Models – Capacitance Models .

9

UNIT

IV

OTHER MOSFET MODELS

Introduction - Model Features – Long-Channel Drain Current Model – Modeling Second-Order Effects

of the Drain Current – SPICE Example – The Effect of Charge-Sharing – Modeling of Charge

Storage Effects – Non-Quasi-Static Modeling – The Noise Model – MOS Model 9 – The MOSA1

Model.

9

UNIT

V

MODELING OF PASSIVE DEVICES AND PROCESS VARIATION

Introduction – Resistors – Well Resistor – Metal Resistor – Diffused Resistor – Poly Resistor –

Capacitors – Poly-Poly Capacitors – Metal-Insulator-Metal Capacitors – MOSFET Capacitors –

Junction Capacitors – Inductors – The Influence of Process Variation and Device Mismatch .

9

Total: 45 Hours

REFERENCE BOOKS

1.

TrondYtterdal, Yuhua Cheng and Tor A. Fjeldly, “Device Modeling for Analog and RF CMOS Circuit

Design”, John Wiley &1 edition, 2008.

2. Grasser, T., “Advanced Device Modeling and Simulation”, World Scientific Publishing Company, 2008.

3. Ben G. Streetman, “Solid State Devices”, Prentice Hall, 2015.

4.

Carlos Galup-Montoro, Marco Cherem Schneider, “MOSFET Modeling for Circuit Analysis and Design”,

World Scientific Publishing Co. Pte. Ltd., 2007.


P19VLD105 DSP INTEGRATED CIRCUITS 3 0 0 3

COURSE OUTCOMES :


1. Design and apply standard DSP and other DSP systems used in ICs.

2. Design and illustrate the concepts of DSP systems, DFT, FFT and DCT.

3. Design the digital filters IIR and FIR for signal processing applications.

4. Examine and synthesize the DSP architectures and implement it on PEs and bit serial PEs.

5. Design and evaluate recent trends in DSP processors..

UNIT

I

DSP INTEGRATED CIRCUITS

Standard Digital Signal Processors – Application Specific IC’s for DSP – DSP System–DSP System

Design – Partitioning Techniques – Integrated Circuit Design – MOS transistors – MOS logic –

VLSI process Technologies – Trends in CMOS Technologies.

9

UNIT

II

DIGITAL SIGNAL PROCESSING

Digital Signal Processing – Sampling of Analog Signals – Selection of Sample Frequency – Signal-

Processing Systems – Frequency Response – Transfer Functions – Signal Flow Graphs – Filter

Structures – Adaptive DSP Algorithms – DFT – The Discrete Fourier Transform – FFT – The Fast

Fourier Transform Algorithm – Discrete Cosine Transforms.

9

UNIT

III

DIGITAL FILTERS AND FINITE WORD LENGTH EFFECTS

FIR Filters – FIR Filter Structures - FIR chips – IIR filters – Specifications of IIR Filters – Mapping

of Analog Transfer Functions – Mapping of Analog Filter Structures – Finite Word Length Effects

–Parasitic Oscillations – Scaling of Signal Levels – Round-Off Noise – Measuring Round-Off

Noise – Coefficient Sensitivity –Sensitivity and Noise.

9

UNIT

IV

DSP ARCHITECTURES AND SYNTHESIS OF DSP ARCHITECTURES

Introduction – DSP System Architectures – Standard DSP Architecture – Ideal DSP Architectures –

Multiprocessors and Multi-Computers – Systolic and Wave Front Arrays – Shared Memory

Architectures – Mapping of DSP Algorithms onto Hardware – Implementation Based on Complex

PEs – Shared Memory Architecture With Bit – Serial PEs.

9

UNIT

V

DSP PROCESSOR

Introduction of TMS320C6748 Processor – Features – CPU Architecture of C6748– Memory

Architecture – Addressing Modes – Assembly Language Instructions – Pipeline Operation –

Interrupts – Peripherals.

9

Total: 45 Hours

REFERENCE BOOKS

1. Lars Wanhammer, “DSP Integrated Circuits”, Academic press, New York, Reprint 2014.

2. Venkataramani B. and Bhaskar M., “Digital Signal Processors – Architecture, Programming and

Applications”, Tata McGraw – Hill Publishing Company Limited, New Delhi, 2017..

3. Emmanuel C. I. Feachor, Barrie W. Jervis, “Digital signal processing – A Practical Approach”, 2nd

Edition, Pearson Education, Asia 2007.

4. Bayoumi&Magdy A., “VLSI Design Methodologies for Digital Signal Processing Architectures”, BS

Publications, 2012.


P19VLD106 VLSI DESIGN LABORATORY 0 0 2 1

COURSE OUTCOMES :

At the end of the experiments, the students will be able to -

1. Design and analysis the digital systems using Verilog HDL.

2. Implement the digital system design in FPGA Board and analyze the same for performance.

3. Design the NMOS, CMOS Logic circuits and analyze the characteristics of the same.

LIST OF EXPERIMENTS

1. Design of NMOS and CMOS Inverters - DC and transient characteristics and switching times.

2. Design of CMOS logic gate circuits.

i) Static logic

ii) Dynamic logic

iii) Domino logic

3. Design of combinational circuits using Verilog and implement in FPGA.

i) Multiplexer and De-Multiplexer

ii) Encoder and Decoder

iii) Comparator

4. Design of sequential circuits using Verilog and implement in FPGA.

i) Shift Registers

ii) Counters

5. Design and implementation of ALU using FPGA and Verilog HDL.

6. Design of FIR filters CORDIC using FPGA and Verilog HDL.

7. Design and implementation of floating point multiplier.

8. Design and implementation of Stepper Motor using FPGA.

9. Design and implementation of traffic controller using FPGA.

Total: 30 Hours



COURSE OUTCOMES
















Techniques of Interpretation, Precaution in Interpretation, Layout of Research Report, Types of Reports, Oral

Presentation, Mechanics of Writing Research Report








publicly, copy right ownership issues, copy right registration, notice of copy right, international copy right law.


TOTAL: 30 Hours

TEXT BOOKS


Edition, New Age


2. Deborah E. Bouchoux, “Intellectual Property: The Law of Trademarks, Copyrights, Patents, and Trade

Secrets”, Delmar Cengage Learning, 4th

Edition, 2012.



Edition, 2008.


REFERENCE BOOKS

1. Panneerselvam, R., Research Methodology, Second Edition, Prentice-Hall of India, New Delhi, 2013.


edition, Sage

publisher, 2014.

3. D Llewelyn & T Aplin W Cornish, “Intellectual Property: Patents, Copyright, Trade Marks and Allied

Rights”, Sweet and Maxwell, 1st

Edition, 2016.


Edition, 2012.



Edition, 2017.



P19GE702 Stress Management by Yoga

2 0 0 0

Course Outcomes:

At the end of completion of this course, students will be able to

1. Develop physical and mental health thus improving social health

2. Increase immunity power of the body and prevent diseases

3. Acceleratememory power

4. Achieve the set goal with confidence and determination

5. Improve stability of mind, pleasing personality and work with awakened wisdom

UNIT – I 6

Yoga-Introduction - Astanga Yoga- 8 parts-Yam and Niyam etc.- Do`s and Don’ts in life-Benefits of Yoga and

Asana- Yoga Exercise- and benefits- Pranayam Yoga- Nadisuthi, Practice and Spinal Sclearance Practice-

Regularization of breathing techniques and its effects-Practice and kapalapathy practice.

UNIT – II 6

Neuromuscular breathing exercise and Practice- Magarasa Yoga, 14 points Acupressure techniques and

practice- Body relaxation practice and its benefits- Raja Yoga- 1.Agna –explanation and practice- Activation of

Pituitary- Raja Yoga-2. Santhi Yoga-Practice-Balancing of physical and mental power.

UNIT – III 6

Raja Yoga-3.Sagasrathara yoga –practice- Activation of dormant brain cells-Kayakalpa-theory- Kayakalpa –

practice-Yogic exercise to improve physical and mental health and practice-Asanas –explanation-Practice-

benefits

UNIT –IV 6

Sun namaskar- 12 poses-explanation and practice-Yoga –Asana-Padmasana, vajrasana,chakrasana,

viruchasanaetc-Stress management with Yoga-Role of women and Yoga

Equality, nonviolence, Humanity,Self- control- Food and yoga Aware of self-destructive habits

Avoid fault thinking (thought analysis-Practice)-Yoga Free from ANGER (Neutralization of anger)& practice

UNIT – V 6

Moralisation of Desire & practice- Punctuality-Love-Kindness-CompassionEradication ofworries-Practice -

Personality development, positive thinking-Good characters to lead a moral life

How to clear the polluted mind- Benefits of blessing- Five- fold culture –explanation- Karma Yoga Practice In

Geetha- Sense of duty-Devotion, self- reliance, confidence, concentration, truthfulness, cleanliness.

Total : 30 hours

Reference Books:

1. ‘Yogic Asanas for Group Tarining-Part-I” Janardan Swami YogabhyasiMandal, Nagpur

2. “Rajayoga or conquering the Internal Nature” by Swami Vivekananda, AdvaitaAshrama

(Publication Department), Kolkata





Computer Science and Engineering

Branch: M.E. Computer Science and Engineering


Theory

1 P19CSE101 Mathematical Foundations of Computer Science 2 1 0 3

2 P19CSE102 Advanced Data Structures and Algorithms 3 0 0 3

3 P19CSE103 Advanced Network Principles and Protocols 3 0 0 3

4 P19CSE104 Artificial Intelligence 3 0 0 3



Practical

7 P19CSE105 Advanced Data Structures and Algorithms Laboratory 0 0 4 2

8 P19CSE106 Network Programming Laboratory 0 0 4 2

Total Credits 18

Approved by

Chairperson, Computer Science and Engineering BOS Member Secretary, Academic Council Chairperson, Academic Council & Principal

Dr.B.Sathiyabhama Dr.R.Shivakumar Dr.S.R.R.Senthil Kumar

Copy to:-

HOD/CSE, First Semester ME CSE Students and Staff, COE


P19CSE101 MATHEMATICAL FOUNDATIONS OF

COMPUTER SCIENCE

L T P C Marks

2 1 0 3 100

COURSE OUTCOMES


1. Apply the concept of set theory in machine learning, databases, class-based object-oriented

systems and data structures.

2. Apply the concept of logical theory to validate the correctness of software specifications.

3. Apply the computational process using combinatorial techniques

4. Apply the concept of automata, formal languages and turing machines in text processing,

compilers, hardware design, programming languages and artificial intelligence.

5. Apply the concept of graph theory in networks of communication, data organization,

computational devices and the flow of computation.

UNIT I FUNDAMENTAL STRUCTURES

Set theory- Relationships between sets – Operations on sets – Set identities -

Principle of inclusion and exclusion – Relations – Binary relations – Partial

orderings – Equivalence relations.

9

UNIT II LOGIC

Propositional logic – Logical connectives – Truth tables – Normal forms

(conjunctive and disjunctive) – Proof techniques – Direct – Proof by

contradiction – Proof by reduction

9

UNIT III COMBINATORICS

Sum-rule, Product-rule, Permutations, Combinations, Mathematical Induction,

Pigeon-hole Principle, Principle of inclusion- exclusion, Recurrence Relations,

Generating Functions

9

UNIT IV MODELING COMPUTATIONAND LANGUAGES

Finite state machines – Deterministic and Non- deterministic finite state

machines – Formal Languages – Classes of Grammars –Context Sensitive –

Context Free – Regular Grammars.

9

UNIT V GRAPHS

Introduction to Graphs – Graph terminology – Representation of Graphs –

Graph Isomorphism – Connectivity – Euler and Hamilton Paths – Shortest path

algorithms – Spanning trees – Minimum spanning tree.

9

Theory :30 hours Tutorial :15 hours

Total: 45


REFERENCE BOOKS

1.

J. P. Trembley and R. Manohar, “Discrete Mathematical Structures with Applications

to Computer Science” McGraw Hill Publishers, 1st Edition 2017.

2. K. H. Rosen, “Discrete Mathematics and its Applications”, McGraw Hill Publishers, 5th

Edition, 2003.

3. R. P. Grimaldi, “Discrete and Combinatorial Mathematics”, Pearson Publishers, 5th

Edition, 2006.

4. T. Veerarajan, “Discrete Mathematics”, McGraw Hill Publishers, 13th

Reprint 2011.


P19CSE102 ADVANCED DATA STRUCTURES AND

ALGORITHMS

L T P C Marks

3 0 0 3 100

COURSE OUTCOMES


1. Design algorithms to solve real-time problems

2. Design and develop algorithms using various hierarchical data structures

3. Develop Graph algorithms to solve real-life problems

4. Apply suitable design strategy for problem solving

5. Analyse various NP hard and NP complete problems

UNIT I ROLE OF ALGORITHMS IN COMPUTING

Algorithms – Algorithms as a Technology- Insertion Sort – Analyzing Algorithms –

Designing Algorithms- Growth of Functions: Asymptotic Notation – Standard

Notations and Common Functions- Recurrences: The Substitution Method – The

Recursion-Tree Method

9

UNIT II HIERARCHICAL DATA STRUCTURES

Binary Search Trees: Basics – Querying a Binary search tree – Insertion and

Deletion- Red-Black trees: Properties of Red-Black Trees – Rotations – Insertion –

Deletion -B-Trees: Definition of Btrees – Basic operations on B-Trees – Deleting a

key from a B-Tree- Fibonacci Heaps: structure – Mergeable-heap operations-

Decreasing a key and deleting a node-Bounding the maximum degree.

9

UNIT III GRAPHS

Elementary Graph Algorithms: Representations of Graphs – Breadth-First Search –

Depth-First Search – Topological Sort – Strongly Connected Components-

Minimum Spanning Trees: Growing a Minimum Spanning Tree – Kruskal and Prim-

Single-Source Shortest Paths: The Bellman-Ford algorithm – Single-Source Shortest

paths in Directed Acyclic Graphs – Dijkstra‘s Algorithm; All-Pairs Shortest Paths:

Shortest Paths and Matrix Multiplication – The FloydWarshall Algorithm;

9

UNIT IV ALGORITHM DESIGN TECHNIQUES

Dynamic Programming: Matrix-Chain Multiplication – Elements of Dynamic

Programming – Longest Common Subsequence- Greedy Algorithms: An Activity-

Selection Problem – Elements of the Greedy Strategy- Huffman Codes.

9

UNIT V NP COMPLETE AND NP HARD

NP-Completeness: Polynomial Time – Polynomial-Time Verification – NP-

Completeness and Reducability – NP-Completeness Proofs – NP-Complete

Problems

9

Total: 45


REFERENCE BOOKS

1.

Alfred V. Aho, John E. Hopcroft, Jeffrey D. Ullman, Data Structures and Algorithms, Pearson

Education, Reprint 2006.

2. S.Sridhar,Design and Analysis of Algorithms‖, First Edition, Oxford University Press, 2014.

3. Robert Sedgewick and Kevin Wayne, ―ALGORITHMS, Fourth Edition, Pearson Education,

2011.

4. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, ―Introduction to

Algorithms‖, Third Edition, Prentice-Hall, 2011.

5. Anany Levitin, Introduction to the Design and Analysis of Algorithms, Pearson Education,

Third Edtion 2017.

6. Ellis Horowitz, Sartaj Sahni, Susan Anderson-Freed, Fundamentals of Data Structures in C,

Universities Press; Second edition, 2008.


P19CSE103 ADVANCED NETWORK PRINCIPLES AND

PROTOCOLS

L T P C Marks

3 0 0 3 100

COURSE OUTCOMES


1. Describe the fundamental concepts of computer networks

2. Analyze the QoS properties in BE and GS models

3. Describe the basic working principles of LTE networks

4. Analyze the performance of SDN

5. Analyze the performance of NGN

UNIT I FOUNDATIONS OF NETWORKING

Communication Networks –Network Elements –Switched Networks and Shared media

Networks – Probabilistic Model and Deterministic Model –Datagrams and Virtual

Circuits –Multiplexing–Switching -Error and Flow Control –Congestion Control –

Layered Architecture –Network Externalities –Service Integration.

9

UNIT II QUALITY OF SERVICE Traffic Characteristics and Descriptors –Quality of Service and Metrics –Best Effort

model and guaranteed Service Model –Limitations of IP networks –Scheduling and

Dropping Policies for BE and GS models –Traffic Shaping Algorithms–End to End

Solutions –Laissez Faire Approach –Possible improvements in TCP –Significance of

UDP in Inelastic Traffic

9

UNIT III NEXT GENERATION NETWORKS Introduction to next generation networks - Changes, Opportunities and Challenges,

Technologies, Networks, and Services, Next Generation Society, future Trends.

Introduction to LTE-A –Requirements and Challenges, network architectures –EPC, E-

UTRAN architecture-mobility management, resource management, services, channel -

logical and transport channel mapping, downlink/uplink data transfer, MAC control

element, PDU packet formats, scheduling services, random access procedure.

9

UNIT IV SOFTWARE DEFINED NETWORKING

Evolution of SDN -Control Plane - Control and data plane separation - Network

Virtualization - Data Plane - Programming SDNs - Verification and Debugging -

openflow networks.

9

UNIT V NGN ARCHITECTURE

Evolution towards NGN-Technology requirements, NGN functional architecture-

Transport stratum, service stratum, service/ content layer and customer terminal

equipment function. NGN entities, Network and Service evolution -fixed, mobile,

cable and internet evolution towards NGN

9

Total: 45


REFERENCE BOOKS

1.

James Macfarlane,” Network Routing Basics: Understanding IP Routing in Cisco Systems”, Wiley edition 1 2006.

2. Jean Warland and Pravin Vareya, „High Performance Networks‟, Morgan Kauffman Publishers, 2002

3. Larry L Peterson and Bruce S Davie, „Computer Networks: A Systems Approach‟, Fifth Edition, Morgan Kaufman Publishers, 2012.

4. Jingming Li Salina, Pascal Salina "Next Generation Networks-perspectives and potentials" Wiley, January 2008.

5. Madhusanga Liyanage, Andrei Gurtov, Mika Ylianttila, "Software Defined Mobile Networks beyond LTE Network Architecture", Wiley, June 2015.

6. Thomas Nadeau, Ken Gray, "SDN - Software Defined Networks", O'reilly Publishers, 2013.

7. Savo G Glisic," Advanced Wireless Networks- Technology and Business models", Wiley, 3rd edition- 2016.

8. Thomas Plavyk, ―Next generation Telecommunication Networks, Services and Management‖, Wiley & IEEE Press Publications, 2010.


P19CSE104 ARTIFICIAL INTELLIGENCE L T P C Marks

3 0 0 3 100

COURSE OUTCOMES

At the end of each unit, the students will be able to

1. Design an intelligent agent by considering the nature of environment and applications

2. Solve the problems related to search application

3. Design knowledge base for any application using propositional/first order logic

4. Implement a suitable multi agent system for the given problem

5. Design a communicative agent for NLP application

UNIT I INTRODUCTION

Introduction to Artificial Intelligence-The Foundations of Artificial Intelligence. The

History of Artificial Intelligence-Intelligent Agents: Agents and Environments-The Concept

of Rationality-The Nature of Environments-The Structure of Agents- Problem-Solving

Agents-Example problems

9

UNIT II PROBLEM SOLVING USING SERACH TECHNIQUES

Uninformed Search Strategies- Avoiding Repeated States- Searching with Partial

Information- Informed Search and Exploration: Informed (Heuristic) Search Strategies-

Heuristic Functions- Local Search Algorithms and Optimization Problems- Constraint

Satisfaction problems-Adversarial search- minimax algorithm- Alpha-Beta pruning

9

UNIT III KNOWLEDGE AND REASONING

Knowledge-Based agents – Logic –Propositional logic – First order logic- Representation

– Syntax and semantics – Knowledge engineering – Inference in First order logic-

Unification and lifting- Forward and backward chaining-Resolution

9

UNIT IV SOFTWARE AGENTS

Architecture for Intelligent Agents – Agent communication – Negotiation and Bargaining –

Argumentation among Agents – Trust and Reputation in Multi-agent systems.

9

UNIT V COMMUNICATION AND APPLICATIONS OF AI

Communication: Phrase Structure Grammars - A Formal Grammar for a Fragment of

English- Syntactic Analysis (Parsing) – Augmented Grammar and Semantic Interpretation

- Machine translation –Speech recognition Tool for Artificial Intelligence -Tensor flow and

IBM Watson.

9

Total: 45


REFERENCE BOOKS

1. S. Russell and P. Norvig, “Artificial Intelligence: A Modern Approach”, Third Edition, Prentice Hall,

2015.

2. Gerhard Weiss, ―Multi Agent Systems‖, Second Edition, MIT Press, 2013.

3. Nils J. Nilsson, “Artificial Intelligence: A New Synthesis”, Harcourt Asia Pvt. Ltd., 2009.

4. George F. Luger, “Artificial Intelligence-Structures and Strategies for Complex Problem Solving”, Pearson Education, 2009.

5. Tom Mitchell, “Machine Learning”, McGraw Hill, 2015.

6. P. Flach, “Machine Learning: The art and science of algorithms that make sense of data”, Cambridge University Press, 2012.

7. M. Mohri, A. Rostamizadeh, and A. Talwalkar, “Foundations of Machine Learning”, MIT Press, 2012.


P19CSE105 ADVANCED DATA STRUCTURES AND

ALGORITHMS LABORATORY

L T P C Marks

0 0 4 2 100

COURSE OUTCOMES

At the end of experiments, the students will be able to

1. Design and implement basic and advanced data structures for real applications

2. Design algorithms using graph structures

3. Implement for real applications using design techniques

List of Experiments:

1. Implementation of Merge Sort and Quick Sort-Algorithms

2. Implementation of a Binary Search Tree

3. Red-Black Tree Implementation

4. Heap Implementation

5. Fibonacci Heap Implementation

6. Graph Traversals

7. Spanning Tree Implementation

8. Shortest Path Algorithms (Dijkstra's algorithm, Bellmann Ford Algorithm)

9. Implementation of Matrix Chain Multiplication

10. Activity Selection and Huffman Coding Implementation.


P19CSE106 NETWORK PROGRAMMING LABORATORY L T P C Marks

0 0 4 2 100

COURSE OUTCOMES

At the end of course, the students will be able to

1. Design and develop client – server applications using java

2. Develop client – server applications using Python

3. Simulate network applications using ns2


1. Design a TCP client/server application

2. Design a UDP client/server application

3. Design an Iterative UDP server with 2 or 3 clients

4. Build client applications for major APIs (Amazon S3, Twitter etc) in Python

5. Design an application that interacts with e-mail servers in python

6. Design applications that work with remote servers using SSH, FTP etc in Python

7. Create a LAN Network and compare the performance between MAC protocols using ns-2

8. Simulate DVR and LSR routing using ns-2

9. Create a wireless network environment with mobile nodes and transfer the data using AODV using ns-2

10. Create a TCP based network and trace the performance of Slow Start congestion control algorithm using

ns-2

11. You are to write a Python network server program that will accept an unlimited number of

connections, one at a time. Upon receiving a connection, it should send back to the client the

client’s IP address. Then it should wait for commands from the client. Valid commands are

“TIME”, “IP” and “EXIT”. To the TIME command, the server should return the current time

(see Example of obtaining a time string). To the IPcommand, it should again return the client’s IP

address. If the client closes the connection or does not respond with a command in a reasonable

time (10 seconds), the server should close the current connection and wait for another connection

(see Setting a timeout on a socket). To theEXIT command, your server should close all open

sockets and exit. Below are two client programs for purposes of testing your server. Feel free to

modify the client programs as needed while testing your server.

http://faculty.salina.k-state.edu/tim/NPstudy_guide/sockets/prog1.html#timeex

http://faculty.salina.k-state.edu/tim/NPstudy_guide/sockets/prog1.html#timeout



COURSE OUTCOMES




























TEXT BOOKS


Edition, New Age




Edition, 2012.



Edition, 2008.


REFERENCE BOOKS



edition, Sage

publisher, 2014.



Edition, 2016.


Edition, 2012.



Edition, 2017.




2 0 0 0

Course Outcomes:







UNIT – I 6




UNIT – II 6




UNIT – III 6



benefits

UNIT –IV 6





UNIT – V 6




Geetha- Sense of duty-Devotion, self- reliance, confidence, concentration, truthfulness, cleanliness.

Total : 30 hours

Reference Books: 1. ‘Yogic Asanas for Group Tarining-Part-I” Janardan Swami YogabhyasiMandal, Nagpur







Computer Science and Engineering

Branch: M.Tech Data Science


Theory

1 P19MDS101 Statistical Computing 2 1 0 3

2 P19MDS102 Matrix and Scientific Computing 2 1 0 3

3 P19MDS103 Advanced Data Structures and Algorithms 3 0 0 3

4 P19MDS104 Data Science and Big Data Analytics 3 0 0 3



Practical

7 P19MDS105 Advanced Data Structures and Algorithms Laboratory 0 0 4 2

8 P19MDS106 Big Data Management and Data Analytics Laboratory 0 0 4 2

Total Credits 18

Approved by

Chairperson, Computer Science and Engineering BOS Member Secretary, Academic Council Chairperson, Academic Council & Principal

Dr.B.Sathiyabhama Dr.R.Shivakumar Dr.S.R.R.Senthil Kumar

Copy to:-

HOD/CSE, First Semester M.Tech DS Students and Staff, COE


P19MDS101 STATISTICAL COMPUTING L T P C Marks

2 1 0 3 100

COURSE OUTCOMES


1. Apply the concepts of probability and random variable, moments, moment generating function and its

properties to solve the problems.

2. Analyse the characteristics of the estimators, find the estimate of the parameters using maximum

likelihood estimation and method of moment

3. Test the hypothesis about the population using Z,,𝐹 and 𝜒2-test statistics..

4. Analyse the variances of several variables using standard designs

5. Apply the multivariate analysis concept to analyse the given set of data which involves more than one

variable.

UNIT I PROBABILITY AND RANDOM VARIABLE Axioms of probability – Conditional probability – Total probability – Baye’s theorem –

Random variable – Probability mass function, probability density function, moment

generating function and their properties

9

UNIT II ESTIMATION THEORY Estimators – Unbiasedness, consistency, efficiency and sufficiency (definitions and

simple problems only) – Maximum likelihood estimation – Method of moments.

9

UNIT III TESTING OF SIGNIFICANCE

Parameter and statistic – Null and alternative hypothesis – Errors in sampling, critical

region and level of significance – One tailed and two tailed tests – Large sample tests

for proportions, mean difference between means, standard deviation – - test for single

mean, difference between means and paired -test- -test-independence of attributes,

goodness of fit – -test.

9

UNIT IV DESIGN OF EXPERIMENTS Analysis of variance – One way classification – Completely randomised design – Two

way classification – Randomised block design.

9

UNIT V MULTIVARIATE ANALYSIS Random vectors and matrices – Mean vectors and covariance matrices – Multivariate

normal density and its properties – Principal components: population components from

standardized variables

9

Theory :30 hours Tutorial :15 hours Total: 45

REFERENCE BOOKS

1.

S. C. Gupta, V. K. Kapoor, “Fundamentals of Mathematical Statistics”, Sultan Chand and

Publishers, 11th

Edition, Reprint, 2019

2. R. A. Johnson and D. W. Wichern, “Applied Multivariate Statistical Analysis”, Pearson Publishers,

6th Edition, 2015..

3. J. L. Devore, “Probability and Statistics for Engineering and the Sciences”, Thomson and Duxbury

Publishers, 9th

Edition, 2015

4. R. A. Johnson and C. B. Gupta, “Miller and Freund’s, Probability and Statistics for Engineers”,

Pearson Publishers, 9th

Edition, 2018.


P19MDS102 MATRIX AND SCIENTIFIC

COMPUTING

L T P C Marks

2 1 0 3 100

COURSE OUTCOMES

At the end of the course, the students will be able to 1. Solve linear system of equations by direct and indirect methods. 2. Apply the concepts of vector spaces and linear transformations in real world applications. 3. Apply the various matrix factorization techniques to decompose the given matrix. 4. Apply the principle of least square to represent a set of data by an equation. 5. Apply various numerical methods to find the intermediate value from a given set of data.

UNIT I LINEAR SYSTEM OF EQUATIONS Rank of a matrix – Solution of linear system of equations by matrix method,

Gauss elimination and Gauss-Jordan, Gauss-Jacobi and Gauss-Seidel methods

9

UNIT II VECTOR SPACES Vector Space – Linear independence and dependence of vectors – Basis –

Dimension – Linear transformations (maps) – Matrix associated with a linear map

– Range and kernel of a linear map – Rank-nullity theorem (without proof).

9

UNIT III MATRIX DECOMPOSITION Lower-Upper (LU) decomposition – Cholesky’s factorization – QR factorization

– House Holder transformation – Singular value decomposition – Pseudo inverse

9

UNIT IV CURVE FITTINGS Principle of least squares – Fitting a straight line – Fitting a parabola – Fitting an

exponential curve – Fitting a curve of the form .

9

UNIT V INTERPOLATION AND APPROXIMATION Interpolation – Newton forward and backward difference formulae – Lagrange’s

interpolation formula – Inverse Lagrange’s interpolation formula.

9

Theory :30 hours Tutorial :15 hours Total: 45

REFERENCE BOOKS 1.

G. H. Golub and C. F. Van Loan, “Matrix Computations”, Johns Hopkins University

Press, 4th

Edition, 2013. 2. T. Veerarajan, “Numerical Methods”, McGraw Hill Publishers, Revised Edition, 2019.

3. D. W. Lewis, “Matrix Theory”, Allied Publishers, First Indian Reprint, 1995.

4. S. Lipschutz and M. L. Lipson, “Linear Algebra”, McGraw Hill Publishers, 6th

Edition,

2018.

5. R. Bronson, “Matrix Operations”, McGraw Hill Publishers, New York, Reprint, 2011.


P19MDS103 ADVANCED DATA STRUCTURES AND

ALGORITHMS

L T P C Marks

3 0 0 3 100

COURSE OUTCOMES


2. Design algorithms to solve real time problems

2. Design and develop algorithms using various hierarchical data structures

3. Develop Graph algorithms to solve real-life problems

4. Apply suitable design strategy for problem solving

5. Analyse various NP hard and NP complete problems

UNIT I ROLE OF ALGORITHMS IN COMPUTING

Algorithms – Algorithms as a Technology- Insertion Sort – Analyzing Algorithms –

Designing Algorithms- Growth of Functions: Asymptotic Notation – Standard Notations

and Common Functions- Recurrences: The Substitution Method – The Recursion-Tree

Method

9

UNIT II HIERARCHICAL DATA STRUCTURES

Binary Search Trees: Basics – Querying a Binary search tree – Insertion and Deletion-

Red-Black trees: Properties of Red-Black Trees – Rotations – Insertion – Deletion -B-

Trees: Definition of Btrees – Basic operations on B-Trees – Deleting a key from a B-

Tree- Fibonacci Heaps: structure – Mergeable-heap operations- Decreasing a key and

deleting a node-Bounding the maximum degree.

9

UNIT III GRAPHS

Elementary Graph Algorithms: Representations of Graphs – Breadth-First Search –

Depth-First Search – Topological Sort – Strongly Connected Components- Minimum

Spanning Trees: Growing a Minimum Spanning Tree – Kruskal and Prim- Single-

Source Shortest Paths: The Bellman-Ford algorithm – Single-Source Shortest paths in

Directed Acyclic Graphs – Dijkstra‘s Algorithm; All-Pairs Shortest Paths: Shortest

Paths and Matrix Multiplication – The FloydWarshall Algorithm;

9

UNIT IV ALGORITHM DESIGN TECHNIQUES

Dynamic Programming: Matrix-Chain Multiplication – Elements of Dynamic

Programming – Longest Common Subsequence- Greedy Algorithms: An Activity-

Selection Problem – Elements of the Greedy Strategy- Huffman Codes.

9

UNIT V NP COMPLETE AND NP HARD

NP-Completeness: Polynomial Time – Polynomial-Time Verification – NP-

Completeness and Reducability – NP-Completeness Proofs – NP-Complete Problems

9

Total: 45


REFERENCE BOOKS

1.

Alfred V. Aho, John E. Hopcroft, Jeffrey D. Ullman, Data Structures and Algorithms, Pearson

Education, Reprint 2006.

2. S.Sridhar,Design and Analysis of Algorithms‖, First Edition, Oxford University Press, 2014.

3. Robert Sedgewick and Kevin Wayne, ―ALGORITHMS, Fourth Edition, Pearson Education,

2011.

4. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, ―Introduction to

Algorithms‖, Third Edition, Prentice-Hall, 2011.

5. Anany Levitin, Introduction to the Design and Analysis of Algorithms, Pearson Education,

Third Edtion 2017.

6. Ellis Horowitz, Sartaj Sahni, Susan Anderson-Freed, Fundamentals of Data Structures in C,

Universities Press; Second edition, 2008.


P19MDS104 DATA SCIENCE AND BIG DATA ANALYTICS

L T P C Marks

3 0 0 3 100

COURSE OUTCOMES


1. Comprehend Data science process

2. Apply various classifiers for real-time problems and analyze the results

3. Design and develop simple applications using R

4. Configure the Hadoop architecture

5. Process the big data using Mapreduce

UNIT I INTRODUCTION TO DATA SCIENCE

Data science process – roles, stages in data science project – working with data from

files – working with relational databases – exploring data – managing data – cleaning

and sampling for modeling and validation – introduction to NoSQL.

9

UNIT II MODELING METHODS Choosing and evaluating models – mapping problems to machine learning, evaluating

clustering models, validating models – cluster analysis – K-means algorithm, Naïve

Bayes – Memorization Methods – Linear and logistic regression – unsupervised

methods.

9

UNIT III INTRODUCTION TO R

Reading and getting data into R – ordered and unordered factors – arrays and matrices

– lists and data frames – reading data from files – probability distributions – statistical

models in R - manipulating objects – data distribution. Introduction to graphical

analysis – plot() function – displaying multivariate data – matrix plots – multiple plots

in one window - exporting graph - using graphics parameters

9

UNIT IV BIG DATA AND HADOOP DISTRIBUTED FILE SYSTEM ARCHITECTURE

Introduction of big data-Characteristics of big data-Data in the warehouse and data in

Hadoop- Importance of Big data Hadoop: components of Hadoop-Application

Development in Hadoop-Getting your data in Hadoop-other Hadoop Components

HDFS Architecture – HDFS Concepts – Blocks – NameNode – Secondary NameNode

– DataNode – HDFS Federation – Basic File System Operations – Data Flow –

Anatomy of File Read – Anatomy of File Write.

9

UNIT V PROCESSING YOUR DATA WITH MAPREDUCE Algorithms using Map

reduce, Matrix-Vector Multiplication by Map Reduce – Hadoop - Understanding the

Map Reduce architecture - Writing Hadoop MapReduce Programs - Loading data into

HDFS - Executing the Map phase - Shuffling and sorting - Reducing phase execution.

Hadoop Word Count Implementation.

Case studies.

9

Total: 45


REFERENCE BOOKS

1.

Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta, “Practical Data Science Cookbook”, Packt Publishing Ltd., 2014.

2. Noreen Burlingame and Lars Nielsen, “A Simple Introduction to DATA SCIENCE”, 2012.

3. Paul Zikopoulos, Chris Eaton, Dirk DeRoos, Tom Deutsch, George Lapis, Understanding Big Data: Analytics for Enterprise Class Hadoop and streaming Data,The McGraw-Hill Companies, 2012

4. Nina Zumel, John Mount, “Practical Data Science with R”, Manning Publications, 2014.

5. Mark Gardener, “Beginning R - The Statistical Pr ogramming Language”, John Wiley & Sons, Inc., 2012.

6. Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman, “Mining of Massive Datasets”, Cambridge University Press, 2014.

7. Boris lublinsky, Kevin t. Smith, Alexey Yakubovich, “Professional Hadoop Solutions”, Wiley, ISBN: 9788126551071, 2015.

8. http://www.johndcook.com/R_language_for_programmers.html

9. http://bigdatauniversity.com/

10. http://home.ubalt.edu/ntsbarsh/stat-data/topics.htm#rintroduction


P19MDS105 ADVANCED DATA STRUCTURES AND

ALGORITHMS LABORATORY

L T P C

Marks 100

0 0 4 2

COURSE OUTCOMES

At the end of course, the students will be able to

4. Design and implement basic and advanced data structures for real applications

5. Design algorithms using graph structures

6. Implement for real applications using design techniques


1. Implementation of Merge Sort and Quick Sort-Algorithms

2. Implementation of a Binary Search Tree

3. Red-Black Tree Implementation

4. Heap Implementation

5. Fibonacci Heap Implementation

6. Graph Traversals

7. Spanning Tree Implementation

8. Shortest Path Algorithms (Dijkstra's algorithm, Bellmann Ford Algorithm)

9. Implementation of Matrix Chain Multiplication

10. Activity Selection and Huffman Coding Implementation.


P19MDS106

BIG DATA MANAGEMENT AND DATA

ANALYTICS LABORATORY

L T P C Marks

0 0 4 2 100

COURSE OUTCOMES

At the end of experiments, the students will be able to -

1. Perform for data summarization, queries, and interpret the results

2. Design and develop data modeling techniques to large data sets

3. Creating and building a complete business data analytics solution


1. (i)Perform setting up and Installing Hadoop in its two operating modes:

Pseudo distributed

Fully distributed

(ii) Use web based tools to monitor your Hadoop setup.

2. i)Implement the following file management tasks in Hadoop:

Adding files and directories

Retrieving files

Deleting files

ii) Benchmark and stress test an Apache Hadoop cluster

3. Run a basic Word Count Map Reduce program to understand Map Reduce Paradigm.

Find the number of occurrence of each word appearing in the input file(s)

Performing a MapReduce Job for word search count (look for specific keywords in a file)

4. Stop word elimination problem:

Input:

A large textual file containing one sentence per line

A small file containing a set of stop words (One stop word per line)

Output:

A textual file containing the same sentences of the large input file without the words

appearing in the small file.

5. Write a Map Reduce program that mines weather data. Weather sensors collecting data every

hour at many locations across the globe gather large volume of log data, which is a good

candidate for analysis with MapReduce, since it is semi structured and record-oriented. Data

available at:

https://github.com/tomwhite/hadoopbook/tree/master/input/ncdc/all

Find average, max and min temperature for each year in NCDC data set?

Filter the readings of a set based on value of the measurement, Output the line of input files associated with a temperature value greater than 30.0 and store it in a separate file.


6. Purchases.txt Dataset

Instead of breaking the sales down by store, give us a sales breakdown by product category across all of our stores

i) What is the value of total sales for the following categories?

Toys

Consumer Electronics ii) Find the monetary value for the highest individual sale for each separate store iii) What are the values for the following stores?

Reno

Toledo

Chandler iv) Find the total sales value across all the stores, and the total number of sales.

7. Install and Run Pig then write Pig Latin scripts to sort, group, join, project, and filter your

data.

8. Write a Pig Latin scripts for finding TF-IDF value for book dataset (A corpus of eBooks

available at: Project Gutenberg)

9. Install and Run Hive then use Hive to create, alter, and drop databases, tables,

views,functions, and indexes

10. Install, Deploy & configure Apache Spark Cluster. Run apache spark applications using

Scala.

11. Data analytics using Apache Spark on Amazon food dataset, find all the pairs of items

frequently reviewed together.

Write a single Spark application that:

Transposes the original Amazon food dataset, obtaining a PairRDD of the type: <user_id> → <list of the product_ids reviewed by user_id>

Counts the frequencies of all the pairs of products reviewed together;

Writes on the output folder all the pairs of products that appear more than once and their

frequencies. The pairs of products must be sorted by frequency.



COURSE OUTCOMES




























TEXT BOOKS


Edition, New Age




Edition, 2012.



Edition, 2008.


REFERENCE BOOKS



edition, Sage

publisher, 2014.



Edition, 2016.


Edition, 2012.



Edition, 2017.




2 0 0 0

Course Outcomes:







UNIT – I 6




UNIT – II 6




UNIT – III 6



benefits

UNIT –IV 6





UNIT – V 6




Geetha- Sense of duty-Devotion, self- reliance, confidence, concentration, truthfulness, cleanliness. Total : 30 hours

Reference Books: 1. ‘Yogic Asanas for Group Tarining-Part-I” Janardan Swami YogabhyasiMandal, Nagpur







Information Technology

Branch: M.Tech. Information Technology


Theory

1 P19MIT101 Mathematics for Data Analytics 3 1 0 4

2 P19MIT102 Big Data Technologies 3 0 0 3

3 P19MIT103 Advanced Data Structures and Algorithms 3 0 0 3

4 P19MIT516 Elective-Agile Software Development 3 0 0 3



Practical

7 P19MIT104 Big Data and Analytics Laboratory 0 0 4 2

8 P19MIT105 Data Structures Laboratory 0 0 4 2

Total Credits 19

Approved by

Chairperson, Information Technology BoS Member Secretary, Academic Council Chairperson, Academic Council & Principal

Dr.J.Akilandeswari Dr.R.Shivakumar Dr.S.R.R.Senthil Kumar

Copy to:-

HOD/IT, First Semester M.Tech IT Students and Staff, COE


P19MIT101 MATHEMATICS FOR DATA ANALYTICS 3 1 0 4

COURSE OUTCOMES


1. Apply the concept of correlation, fit suitable curve to the given data and analyse the result.

2. Apply the concepts of probability, random variable, moments, moment generating function and their

properties to solve the problems.

3. Analyse the characteristics of the estimators, find the estimate of the parameters using maximum likelihood

estimation and method of moments.

4. Test the hypothesis about the population using Z and -test statistics.

5. Apply the multivariate analysis concept to analyse the given set of data which involves more than one

variable

.UNIT – I CORRELATION, CURVE FITTING AND REGRESSION 12

Simple and rank correlations – Multiple and partial correlations – Curve fitting – Principle of least squares –

Fitting a straight line – Fitting a parabola – Fitting an exponential curve – Fitting a curve of the form –

Linear regression – Multiple and partial regressions.

UNIT – II PROBABILITY AND RANDOM VARIABLE 12

Axioms of probability – Conditional probability – Total probability – Baye’s theorem – Random variable –

Probability mass function, probability density function, moments, moment generating function and their

properties.

UNIT – III ESTIMATION THEORY 12

Estimators – Unbiasedness, consistency, efficiency and sufficiency (definitions and simple problems only) –

Maximum likelihood estimation – Method of moments.

UNIT – IV TESTING OF SIGNIFICANCE 12

Parameter and statistic – Null and alternative hypothesis – Errors in sampling, critical region and level of

significance – One tailed and two tailed tests – Large sample tests for proportions, mean, difference between

means, standard deviation – -test for single mean, difference between means – Paired -test – -test for

independence of attributes, goodness of fit – -test.

UNIT – V MULTIVARIATE ANALYSIS 12

Random vectors and matrices – Mean vectors and covariance matrices – Multivariate normal density and its

properties – Principal components: population components from standardized variables.

TOTAL: 60 Hours


TEXT BOOK

1. S. C. Gupta, V. K. Kapoor, “Fundamentals of Mathematical Statistics”, Sultan Chand and Sons

Publishers, 11th

Edition (Reprint), 2019.

2. R. A. Johnson and D. W. Wichern, “Applied Multivariate Statistical Analysis”, Pearson Publishers, 6th

Edition, 2015.

REFERENCE BOOKS

1. J. L. Devore, “Probability and Statistics for Engineering and the Sciences”, Thomson and Duxbury

Publishers, 9th

Edition, 2015.

2. R. A. Johnson and C. B. Gupta, “Miller and Freund’s, Probability and Statistics for Engineers”, Pearson

Publishers, 9th

Edition, 2018.


P19MIT102 BIG DATA TECHNOLOGIES 3 0 0 3

COURSE OUTCOMES


1. Explain the need and challenges of Big data and analytics

2. Apply and write jobs in Hadoop and map reduce framework and configure Hadoop eco systems and

work with tools that are handling big data.

3. Create NoSQL database and apply CRUD operations in MongoDB

4. Create database and apply CRUD operations in Cassandra and Hive

5. Write PigLatin scripts for database maintenance and Perform statistical based analysis and describe the

data using various graphical methods


Types of Digital Data – Introduction to Big Data - Big Data Analytics - classification of Analytics - Greatest

Challenges that Prevent Businesses from Capitalizing on Big Data - Top Challenges Facing Big Data - Why is

Big Data Analytics Important? - Data Science - Terminologies Used in Big Data Environment - Few Top

Analytics Tools.

UNIT II TECHNOLOGIES, HADOOP AND MAP REDUCE 9

The big data technology landscape – NoSQL – Hadoop - Introduction to Hadoop - RDBMS versus Hadoop -

RDBMS versus Hadoop - Hadoop Overview - Hadoop Distributed File System - Processing Data with Hadoop -

Managing Resources and Application with Hadoop YARN - Hadoop Ecosystem – Introduction to Map reduce

Programming

UNIT III MONGODB 9

Introduction to MongoDB - What is MongoDB? - Why MongoDB? - RDBMS and MongoDB - Data Types in

MongoDB – MongoDB Query Langauge

UNIT IV CASSANDRA AND HIVE 9

Introduction to Cassandra - Features of Cassandra - CQL Data Types – CQLSH – Keyspaces - CRUD –

Collections – Alter - Import and Export – querying system tables

Hive Architecture - Hive Data Types - Hive File Format - Hive Query Language- RCFile Implementation –

SerDe – User Defined Functions

UNIT V PIG AND RECENT TRENDS 9

Introduction to Pig - The Anatomy of Pig - Pig on Hadoop - Pig Latin Overview - Data Types - Running Pig -

Execution Modes of Pig - HDFS Commands - Relational operators - Eval Function - Complex Data Type - User

Defined Function - parameter Substitution - Diagnostic Operator - Word Count Example - When to use Pig? -

When NOT to use Pig? - Pig versus Hive - Reporting tool – Trends – Case study

THEORY: 45 TUTORIAL: - PRACTICAL: TOTAL: 45 Hours

TEXT BOOK

1. Seema Acharya, Subhashini Chellappan, “Big Data and Analytics”, Wiley Publication, first edition.

Reprint in 2016.


REFERENCES

1. DT Editorial Services, “Black Book- Big Data (Covers Hadoop 2, MapReduce, Hive, Yarn, PIG, R, Data

visualization)”, Dream tech Press edition 2016.

2. Radha Shankarmani, M Vijayalakshmi, ”Big Data Analytics”, Wiley Publications, First Edition 2016.

3. Chuck lam, “Hadoop in action”, Dream tech Press-2016 reprint edition.

4. O’Reilly Media, Big Data now: Current Perspective from O’Reilly Media, 2013 Edition.

5. Judith Hurwitz, Alan Nugent,Fern Halper, Marcia Kaufman, “Big data for dummies”, Wiley, 2013.

6. Anand Rajaraman, Jure Leskovec, and Jeffrey D. Ullman , Mining of massive datasets, 2014.

7. O’Reilly Media, Hadoop: The Definitive Guide, Third Edition, 2012.

8. Vignesh Prajapati, Data analytics with R and Hadoop, 2013, Packt Publishing.

9. Eelco Plugge, Peter Membrey and Tim Hawkins, The Definitive Guide to MongoDB: The NoSQL

Database for Cloud and Desktop Computing, 2010.

10. Simon Walkowiak , Big Data Analytics with R.Michael Minelli, Michelle Chambers, and Ambiga

Dhiraj, "Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's

Businesses", Wiley, 2013.

11. P. J. Sadalage and M. Fowler, "NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot

Persistence", Pearson Education, 2012.


P19MIT103 ADVANCED DATA STRUCTURES AND ALGORITHMS 3 0 0 3

COURSE OUTCOMES


1. Design data structures and algorithms to solve computing problems.

2. Implement and analysis of hierarchical data structures and algorithms.

3. Design algorithms using graph structure and various string matching algorithms to solve real-life problems.

4. Apply suitable design strategy for problem solving.

5. Implement approximation algorithms.

UNIT I ROLE OF ALGORITHMS IN COMPUTING 9

Algorithms – Algorithms as a Technology- Insertion Sort – Analyzing Algorithms – Designing

Algorithms- Growth of Functions: Asymptotic Notation – Standard Notations –Divide and Conquer-

Maximum-subarray problem- Strassen’s algorithm- Common Functions- Recurrences: The Substitution Method

– The Recursion-Tree Method-The Master method

UNIT II HIERARCHICAL DATA STRUCTURES 9

Binary Search Trees: Basics – Querying a Binary search tree – Insertion and Deletion- Red-Black trees:

Properties of Red-Black Trees – Rotations – Insertion – Deletion- B-Trees: Definition of B trees – Basic

operations on B-Trees – Deleting a key from a B-Tree- Fibonacci Heaps: Structure – Heap operations –

Decreasing a key and deleting a node – Bounding the maximum degree

UNIT III GRAPHS 9

Elementary Graph Algorithms: Representations of Graphs – Breadth-First Search – Depth-First Search –

Topological Sort – Strongly Connected Components- Minimum Spanning Trees: Growing a Minimum

Spanning Tree – Kruskal and Prim- Single-Source Shortest Paths: The Bellman-Ford algorithm – Single-

Source Shortest paths in Directed Acyclic Graphs – Dijkstra’s Algorithm; All Pairs Shortest Paths:

Shortest Paths and Matrix Multiplication – The Floyd-Warshall Algorithm

UNIT IV ALGORITHM DESIGN TECHNIQUES 9

Dynamic Programming: Matrix-Chain Multiplication – Elements of Dynamic Programming –Longest

Common Subsequence- Greedy Algorithms: An Activity-Selection Problem – Elements of the Greedy

Strategy – Huffman Codes

UNIT V NP COMPLETENESS AND APPROXIMATION ALGORITHMS 9

NP-Completeness: Polynomial Time – Polynomial-Time Verification – NP-Completeness and

Reducability – NP-Completeness Proofs – NP-Complete Problems- Approximation Algorithms: Vertex-Cover

problem- Travelling-Salesman problem – Subset-sum problem

THEORY: 45 TUTORIAL: - PRACTICAL: TOTAL: 45 Hours

TEXT BOOK

1. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, “Introduction to

Algorithms”, Third Edition, Prentice-Hall.


REFERENCES

1. Robert Sedgewick and Kevin Wayne, “Algorithms”, Fourth Edition, Pearson Education.

2. Alfred V. Aho, John E. Hopcroft, Jeffrey D. Ullman, “Data Structures and Algorithms”, Pearson

Education.

3. Donald E Knuth, “Art of Computer Programming-Volume I- Fundamental Algorithms”, Third

edition, Addison Wesley.



COURSE OUTCOMES







UNIT I INTRODUCTION TO RESEARCH METHODS 6




UNIT II SAMPLING DESIGN AND HYPOTHESIS TESTING 6




UNIT III INTERPRETATION AND REPORT WRITING 6



UNIT IV INTRODUCTION TO INTELLECTUAL PROPERTY 6



UNIT V TRADE MARKS, COPY RIGHTS AND PATENTS 6







TEXT BOOKS


Edition, New Age




Edition, 2012.



Edition, 2008.


REFERENCE BOOKS



edition, Sage

publisher, 2014.



Edition, 2016.


Edition, 2012.



Edition, 2017.



P19MIT104 BIG DATA AND ANALYTICS LABORATORY 0 0 4 2

COURSE OUTCOMES


1. Create applications for Big Data analytics

2. Apply data modelling techniques to large data sets

3. Prepare for data summarization, query, and analysis.

LIST OF EXPERIMENTS

1. (i) Perform setting up and Installing Hadoop in its two operating modes:

Pseudo distributed,

Fully distributed.

(ii) Use web based tools to monitor your Hadoop setup.

2. (i) Implement the following file management tasks in Hadoop:

Adding files and directories Retrieving files Deleting files

ii) Benchmark and stress test an Apache Hadoop cluster

3. Run a basic Word Count Map Reduce program to understand Map Reduce Paradigm.

Find the number of occurrence of each word appearing in the input file(s)

Performing a MapReduce Job for word search count (look for specific keywords in a file)

4. Stop word elimination problem:

Input: A large textual file containing one sentence per line

A small file containing a set of stop words (One stop word per line)

Output:

A textual file containing the same sentences of the large input file without the

words appearing in the small file.

5. Write a Map Reduce program that mines weather data.

Data available at: https://github.com/tomwhite/hadoopbook/tree/master/input/ncdc/all.

Find average, max and min temperature for each year in NCDC data set?

Filter the readings of a set based on value of the measurement, Output the line of input files associated

with a temperature value greater than 30.0 and store it in a separate file.

6. Purchases.txt Dataset

a. Instead of breaking the sales down by store, give us a sales breakdown by product category

across all of our stores


b. What is the value of total sales for the following categories? Toys Consumer Electronics

c. Find the monetary value for the highest individual sale for each separate store

d. What are the values for the following stores? Reno Toledo Chandler

e. Find the total sales value across all the stores, and the total number of sales.

7. Install and Run MongoDB then use MongoDB to create, alter, and drop databases, tables, views,

functions, and indexes

8. Install and Run Pig then write Pig Latin scripts to sort, group, join, project, and filter your data.

9. Write a Pig Latin scripts for finding TF-IDF value for book dataset (A corpus of eBooks available at:

Project Gutenberg)

10. Install and Run Hive then use Hive to create, alter, and drop databases, tables, views, functions, and

indexes

TOTAL: 60 HOURS


P19MIT105 DATA STRUCTURES LABORATORY 0 0 4 2

COURSE OUTCOMES


1. Implement the tree data structure

2. Implement graph algorithms

3. Implement problems in greedy and approximation approach

LIST OF EXPERIMENTS

1. Implementation of Binary Search Tree

2. Implementation of Fibonacci Heaps

3. Implementation of Red-Black tree

4. Implementation of Spanning Tree

5. Implementation of Shortest Path Algorithms

6. Implementation of Graph Traversals

7. Implementation of Greedy Algorithms

8. Implementation of Approximation Algorithms

TOTAL: 60 Hours


P19MIT516 AGILE SOFTWARE DEVELOPMENT 3 0 0 3

COURSE OUTCOMES

At the end of the course, the student will be able to,

1. Explain the genesis of Agile and driving forces for choosing Agile techniques.

2. Comprehend the Agile Scrum framework and development practices.

3. Assess the software product using Agile testing methodologies and perform testing activities within an

agile project.

4. Apply software design principles and refactoring techniques to achieve agility.

5. Evaluate the agile approach impact on cutting-edge technologies and also realize the business value for

adopting agile software development.

UNIT I FUNDAMENTALS OF AGILE 9

The Genesis of Agile, Introduction and background, Agile Manifesto and Principles, Overview of Scrum,

Extreme Programming, Feature Driven development, Lean Software Development, Agile project management,

Design and development practices in Agile projects, Test Driven Development, Continuous Integration,

Refactoring, Pair Programming, Simple Design, User Stories, Agile Testing, Agile Tools

UNIT II AGILE SCRUM FRAMEWORK 9

Introduction to Scrum, Project phases, Agile Estimation, Planning game, Product backlog, Sprint backlog,

Iteration planning, User story definition, Characteristics and content of user stories, Acceptance tests and

Verifying stories, Project velocity, Burn down chart, Sprint planning and retrospective, Daily scrum, Scrum

roles – Product Owner, Scrum Master, Scrum Team, Scrum case study, Tools for Agile project management

UNIT III AGILE TESTING 8

The Agile lifecycle and its impact on testing, Test-Driven Development (TDD), Testing user stories -

acceptance tests and scenarios, Planning and managing testing cycle, Exploratory testing, Risk based testing,

Regression tests, Test Automation, Tools to support the Agile tester

UNIT IV AGILE SOFTWARE DESIGN AND DEVELOPMENT 10

Agile design practices, Role of design Principles including Single Responsibility Principle, Open Closed

Principle, Liskov Substitution Principle, Interface Segregation Principles, Dependency Inversion Principle in

Agile Design, Need and significance of Refactoring, Refactoring Techniques, Continuous Integration,

Automated build tools, Version control

UNIT V INDUSTRY TRENDS 9

Market scenario and adoption of Agile, Agile ALM, Roles in an Agile project, Agile applicability, Agile in

Distributed teams, Business benefits, Challenges in Agile, Risks and Mitigation, Agile projects on Cloud,

Balancing Agility with Discipline, Agile rapid development technologies

TOTAL: 45 Hours

TEXT BOOKS

1. Ken Schwaber, Mike Beedle, “Agile Software Development with Scrum”, Pearson, 2014.


REFERENCES

1. Robert C. Martin, “Agile Software Development, Principles, Patterns and Practices” Pearson, 2003.

2. Lisa Crispin, Janet Gregory,” Agile Testing: A Practical Guide for Testers and Agile Teams” Addison

Wesley, 2008.

3. Alistair Cockburn,” Agile Software Development: The Cooperative Game” Addison Wesley, second

Edition, 2006.

4. Mike Cohn,” User Stories Applied: For Agile Software” Addison Wesley, 2004.



2 0 0 0

Course Outcomes:







Unit – I 6



Unit – II 6



Unit- III 6


Unit – IV 6


Unit – V 6


Text Books:

1.Adrian Wallwork , English for Writing Research Papers, Springer New York Dordrecht

Heidelberg London, 2011

2.HighmanN , Handbook of Writing for the Mathematical Sciences, SIAM.Highman’s

book, 1998.


4.Goldbort R, Writing for Science, Yale University Press, 2006. (available on Google

Books) Total: 30 hours

REFERENCES

Martin Cutts, Oxford Guide to Plain English, Oxford University Press, Second Edition, 2006.

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