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1 Basic Subjects JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Embedded Systems UNIT:1 Introduction: Introduction,ComplexSystemsandMicroprocessors,EmbeddedSystemsDesignProcess,FormalismforSyste mdesign,DesignExample:ModelTrainController.Preliminaries,ARMProcessor.Hard versus soft Real- Time Systems: Jobs and Processes, Release Times, Deadlines and Timing Constraints, Hard and Soft Timing Constraints, Hard Real Time Systems, Soft Real Time Systems. UNIT:2 Embedded systems Hardware:ProgrammingInputandOutput,Supervisormode,Exceptions,Traps,Coprocessors,MemorySyste msMechanisms,CPUPerformance,CPUPowerConsumption.DesignExample:DataCompressor.BasicComp utingPlatforms,CPUBus,MemoryDevicesandsystems,Designingwithcomputingplatforms,ConsumerElectr onicarchitecture,Platformlevelperformanceanalysis, UNIT:3 - ProgramDesignandAnalysis:Componentsforembeddedprograms,Modelsofprograms,Assembly,Linkinga ndLoading,CompilationTechniques,Programlevelperformanceanalysis,Softwareperformanceoptimization, Program- Levelenergyandpoweranalysisandoptimization,Analysisandoptimizationofprogramsize,Programvalidation andtesting. UNIT:4 - Processes and Operating Systems: Introduction, Multiple tasks and multiple processes, Multirate Systems, Preemptive Realtime operating systems, Priority based scheduling, Interprocess communication mechanisms, Evaluating OS performance, Power optimization strategies UNIT:5 Embedded System development environment and life cycle:IntegratedDevelopmentEnvironment,Dis- assembler/Decompiler,Simulators,Emulators,andDebugging,TargetHardwareDebugging.Objectives of EDLC, Phases of EDLC and Approches TEXT BOOKS / REFERENCES: Text books: 1. Marilyn Wolf: Computers as Components, Principles of Embedded Computing Systems Design, 3 rd Edition, Elsevier, 2012. 2. Real Time Systems By Jane W.S.Liu -Low Price Edition , Pearson Education Asia

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Page 1: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

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Basic Subjects JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours Embedded Systems

UNIT:1 – Introduction:

Introduction,ComplexSystemsandMicroprocessors,EmbeddedSystemsDesignProcess,FormalismforSyste

mdesign,DesignExample:ModelTrainController.Preliminaries,ARMProcessor.Hard versus soft Real- Time

Systems: Jobs and Processes, Release Times, Deadlines and Timing Constraints, Hard and Soft Timing

Constraints, Hard Real Time Systems, Soft Real Time Systems.

UNIT:2 –Embedded systems

Hardware:ProgrammingInputandOutput,Supervisormode,Exceptions,Traps,Coprocessors,MemorySyste

msMechanisms,CPUPerformance,CPUPowerConsumption.DesignExample:DataCompressor.BasicComp

utingPlatforms,CPUBus,MemoryDevicesandsystems,Designingwithcomputingplatforms,ConsumerElectr

onicarchitecture,Platformlevelperformanceanalysis,

UNIT:3 -

ProgramDesignandAnalysis:Componentsforembeddedprograms,Modelsofprograms,Assembly,Linkinga

ndLoading,CompilationTechniques,Programlevelperformanceanalysis,Softwareperformanceoptimization,

Program-

Levelenergyandpoweranalysisandoptimization,Analysisandoptimizationofprogramsize,Programvalidation

andtesting.

UNIT:4 - Processes and Operating Systems: Introduction, Multiple tasks and multiple processes,

Multirate Systems, Preemptive Realtime operating systems, Priority based scheduling, Interprocess

communication mechanisms, Evaluating OS performance, Power optimization strategies

UNIT:5 – Embedded System development environment and life

cycle:IntegratedDevelopmentEnvironment,Dis-

assembler/Decompiler,Simulators,Emulators,andDebugging,TargetHardwareDebugging.Objectives of

EDLC, Phases of EDLC and Approches

TEXT BOOKS / REFERENCES:

Text books:

1. Marilyn Wolf: Computers as Components, Principles of Embedded Computing Systems Design,

3rd Edition, Elsevier, 2012.

2. Real Time Systems – By Jane W.S.Liu -Low Price Edition , Pearson Education Asia

Page 2: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

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3. Shibu K V: Introduction to Embedded Systems, Tata McGraw Hill,2009

Reference books:

1. James K. Peckol: Embedded Systems, A contemporary Design Tool, Wiley India, 2008. 2. Qing Li with Caroline Yao: Real-Time Concepts for Embedded Systems- published by CMP Books

ADDITIONAL LEARNING SOURCES:

Page 3: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

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JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Linear Systems

UNIT:1 – Review of basic concepts: Linearity, Time variance, Time invariance, convolution,

differential equation, Transfer function, state-space model.

State-space model and transfer function examples for mechanical, electrical and electromechanical systems.

SLE: State-space model and transfer function examples forChemical, Electrochemical and Biological

systems

10 Hours

UNIT:2 –Continuous and Discrete time systems: Relation between transfer function and state-space

model, State – solution, state transition matrix, Cayley Hamilton theorem, Eigen values, Eighen vector, for

continuous time systems.

SLE:State- space model, state-solution, state transition matrix, relation between transfer function, state

space model, Eigen values and Eighen vector for Discrete system.

10 Hours

UNIT: 3 – System Realization: Canonical realization of Controller, Observer, Controllability,

Observability and Modal/Parallel

08 Hours

UNIT: 4 – System properties and stability: Controllability, observability, standard form for

uncontrollable, unobservable states, review of RH and lyapunov stability criteria, stability of linear systems,

state space perspective, PBH test.

12 Hours

UNIT: 5 – System Design: State variable feedback, controller, observer and LQR design

12 Hours

Page 4: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

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JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Nano science and Technology

UNIT: 1 - Introduction: Overview of nano science and engineering. Classification of Nanostructures, Bonding of

atoms and electronic conduction, Electronic properties of atoms and solids, Fabrication methods, Top down

processes, Bottom up processes methods for templating the growth of nanomaterials.10 Hours

UNIT: 2 - Characterization: Classification, Microscopic techniques, Field ion microscopy, scanning probe

techniques, diffraction techniques: bulk, surface, spectroscopy techniques: photon, radiofrequency, electron,

surface analysis, Reflection High Energy Electron Diffraction (RHEED), Position-sensitive Atom Probe (POSAP)

Spectroscopy.10 Hours

UNIT: 3 - Inorganic semiconductor nanostructures: overview of semiconductor physics, Quantum confinement in

semiconductor nanostructures: quantum wells, quantum wires, quantum dots, super lattices, band offsets,

electronic density of states. Semiconductor nano crystals, colloidal quantum dots, Light emitting semiconductor

quantum dots, nano cuboids, graphene, carbon quantum dots, single crystalline silicon, self-assembly techniques.

Optical, electrical and structural characterization of semiconductor nanostructures. 12 hours

UNIT: 4 - Properties of nanoparticles: metal nano clusters, semiconducting nanoparticles, rare gas and molecular

clusters, methods of synthesis. Carbon nanostructures and its applications. Self-assembling nano structured

molecular materials and devices, methods to prepare and pattern nanoparticles, templated nanostructures.

Nanomagnetism in technology and challenges.10 Hours

UNIT: 5 - Introduction to Bio nanotechnology: New tools in biological systems, Biomimetic nanotechnology: DNA

as building block, thin film transistor arrays, Molecular electronics and its applications, Applications of FET label

free electrical DNA biosensor arrays, impact of nanotechnology on the environment. 10 Hours

Page 5: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

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JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

EHV Power Transmission

UNIT:1 – Introduction to EHV AC Transmission: Role of EHV transmission, energy resources and

development, choice of voltage for transmission, line losses and power-handling capacity, the problems

of EHV and future scope. Calculation of Line and Ground Parameters : Calculation of line

resistance,inductance, capacitance, and ground-return parameters, modes of propagation, charge

distribution, surface voltage gradients.

UNIT:2 – Electric and magnetic fields: Corona loss and Audible Noise from EHV lines, Radio

Interference, corona pulses, frequency spectrum, lateral profile of RI from lines, modern concept of

'Excitation Function' pre-determination of the RI level of a line, The power frequency electrostatic field

near EHV lines, causes, harmful effects to human beings, animals, vehicles, plant life, limitations on the

design, magnetic Field Effects of E.H.V.Lines.

UNIT:3 - High transient overvoltages on EHV lines: Lightning and switching overvoltages, possible

conditions of internal overvoltages on EHV lines , travelling waves caused by lightning and switching

operations,the method of standing waves, comparison, Laplace-Transform and Fourier-Transform

Methods for handling transients on EHV lines.

UNIT:4 - Over voltage protection: Arresters - Metal Oxide Varistor, gapless Zinc Oxide

arrester,conventional gap-type SiC arresters, non current-limiting and current-limiting types,

outage level, factors affecting it.

UNIT:5 – Design and testing: Flashover and withstand characteristics of long air gaps- basic

mechanisms, statistical nature of insulation design, power-frequency over voltage for the

design of line compensation, EHV laboratories, equipment and testing methods for

design of EHV lines,examples

TEXT BOOKS / REFERENCES:

Text books:

1. Rakosh Das Begamudre–Extra High Voltage ACTransmission Engg. New age

international (P) Ltd, New Delhi. Publisher: New Age International Pvt Ltd Publishers

(January 30, 2009)

2. S.Rao– EHV-AC,HVDC Transmission and Distribution Engineering,

Page 6: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

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Khanna Publishers,Delhi.

3. K.R.Padiyar – HVDC Power Transmission Systems: Technology and System

Interactions,New age International (p) Ltd.

Reference books:

1. Kuffel, Zangle, Kuffle – High Voltage Engineering,Newnes Publications

2. M.S.Naidu and V.Kamaraju – High Voltage Engineering,TMH Publications

ADDITIONAL LEARNING SOURCES:

NPTEL study materials

Page 7: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

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JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Digital Communication

UNIT:1 – Introduction:

Digital communication system (description of different modules of the block diagram), Complex

baseband representation of signals, Gram-Schmidt, orthogonalization procedure. M-ary

orthogonal signals, bi-orthogonal signals, simplex signal waveforms.

UNIT:2 – Modulation:

Waveform coding sampling theorem, Pulse amplitude modulation (binary and M-ary, QAM),

Pulse position modulation (binary and M-ary), PCM , DPCM , LPC and voice coders, digital

multiplexing Carrier modulation (M-ary ASK, PSK, FSK, DPSK), Continuous phase modulation

(QPSK and variants, MSK, GMSK). TCM. Modulation demodulation, spectrum, CNR, SNR,

BER and probability error, comparison.

UNIT:3 - Digital data transmission

Line coding methods, properties, Various formats, PSD, ISI, Nyquist criteria, raised cosine

spectrum, correlative coding, duo binary coding, partial response signaling, scramblers, digital

receivers and repeaters, eye diagram, Digital multiplexing, FDM,

TDM,WDM,FDMA,TDMA,CDMA and WDMA, standards. Optimum filter, matched filter and

correlator.

UNIT:4 – Information Theory and Spread spectrum

DMS, DMC, mutual information, channel capacity, source coding, entropy coding ,error control

coding, spread spectrum systems

Receiver in additive white Gaussian noise channels

Coherent and non coherent demodulation: Matched filter, Correlator demodulator, square-law,

and envelope detection; Detector: Optimum rule for ML and MAP detection Performance: Bit-

error-rate, symbol error rate for coherent and non coherent schemes.

UNIT:5 – -

Band-limited channels:

Pulse shape design for channels with ISI: Nyquist pulse, Partial response signaling (duo binary

and modified duo binary pulses), demodulation; Channel with distortion: Design of transmitting

and receiving filters for a known channel and for time varying channel (equalization);

Performance: Symbol by symbol detection , symbol and sequence detection, Viterbi algorithm

Communication over fading channels: Characteristics of fading channels, Rayleigh and Rician

channels, receiver performance-average SNR, outage probability, amount of fading and average

bit/symbol error rate.

TEXT BOOKS / REFERENCES:

Text books:

1.J. G. Proakis and M. Salehi, Fundamentals of Communication Systems,

Pearson Education, 2005.

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2. S. Haykins, Communication Systems, 5th ed., John wiley, 2008.

3. W. Tomasi, Advanced Electronic Communication Systems, 4th Ed.,

Pearson Education, 2014.

4. Dr Sanjay Sharma, Digital Communications, 6th ed, Katson publications 2013

Reference books: .

1. M. K. Simon, S. M. Hinedi and W. C. Lindsey, Digital Communication

Techniques: Signaling and detection, Prentice Hall India, N. Delhi, 2005.

2.M. K. Simon and M. S. Alouini, Digital Communication over Fading

Channels, J/W publications 2012.

ADDITIONAL LEARNING SOURCES:

https://www.wlu.edu/communications-and-public-affairs/digital-communications

https://www.investisdigital.com/

https://www.quora.com/What-website-has-great-lectures-and-tutorials-on-digital-communication

Page 9: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

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JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Big Data Analytics

UNIT 1 : Introduction to Big Data

What is big data? Is the "big" part or the "data" art more important? How is big data different?

How is big data more of the same? Risks of big data -why you need to tame big data -the

structure of big data- exploring big data, most big data doesn't matter- filtering big data

effectively -mixing big data with traditional data- the need for standards-today's big data is not

tomorrow's big data. Web data: the original big data -web data overview -what web data reveals

-web data in action? A cross-section of big data sources and the value they hold.

Unit 2 - Data Analysis and Mining Data Streams

Evolution of analytic scalability, convergence , parallel processing systems ,cloud computing,

grid computing, map reduce , enterprise analytic sand box ,analytic data sets ,analytic methods

, analytic tools, Analysis approaches, statistical significance, business approaches, analytic

innovation. The stream data model -A Data-Stream-Management System, Examples of Stream

Sources, Stream Queries, Issues in Stream Processing sampling data in a stream- A Motivating

Example, a Representative Sample, The General Sampling Problem, Varying the Sample Size

, filtering streams-A Motivating Example, DGIM Algorithm, The Flajolet-Martin Algorithm,

Alon-Matias-Szegedy Algorithm, Dealing with Infinite Streams

Unit 3 – Clustering and Mining Social-Network Graph

Mining frequent item sets, market based model, apriori algorithm, handling large data sets in

main memory, limited pass algorithm, counting frequent item sets in a stream, clustering

techniques, hierarchical clustering – k- means algorithm, the CURE algorithm, clustering in

non-euclidean space, clustering for streams and parallelism.

Social Networks as Graphs, Graphs With Several Node Types, Clustering of Social-Network

Graphs, Distance Measures for Social-Network Graphs,applying Standards for Clustering

Methods, The Girvan-Newman Algorithm, Using Betweenness to Find Communities, Direct

Discovery of Communities, Finding Cliques, Complete Bipartite Graphs.

Unit 4 - HADOOP

History of Hadoop- The Hadoop Distributed File System – Components of HadoopAnalyzing

the Data with Hadoop- Scaling Out- Hadoop Streaming- Design of HDFS-Java interfaces to

HDFSBasics- Developing a Map Reduce Application-How Map Reduce Works-Anatomy of a

Map Reduce Job run-Failures-Job Scheduling-Shuffle and Sort – Task execution - Map Reduce

Types and Formats- Map Reduce Features

Unit 5 - FRAMEWORKS

Page 10: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

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Applications on Big Data Using Pig and Hive – Data processing operators in Pig – Hive

services – HiveQL – Querying Data in Hive - fundamentals of HBase and ZooKeeper - IBM

InfoSphere BigInsights and Streams. Visualizations - Visual data analysis techniques,

interaction techniques; Systems and applications

TEXT BOOKS / REFERENCES:

Text books:

1. Bill Franks, Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data

Streams with advanced analytics, John Wiley & sons, 2013.

2. Rajaraman and Jeffrey David Ullman, Mining of Massive Datasets, Cambridge

University Press, 2014

3. Dirk deRoos, Paul C. Zikopoulos, Bruce Brown, Rafael Coss, Roman B. Melnyk,

Hadoop for Dummies John Wiley & Sons, Inc, 2014, ISBN: 978-1-118-60755-8

Reference books:

1. Frank Ohlhorst John Wiley & Sons, “Big Data Analytics: Turning Big Data into Big

Money”, John Wiley & Sons, 2013.

2. Mark Van Rijmenam, “Think Bigger: Developing a Successful Big Data Strategy for

Your Business”, Amazon, 1 edition, 2014.

3. Seema Acharya, SubhashiniChellappan, Big data and Analytics, Wiley publications,

2014.

4. Eric Sammer, Hadoop Operations, O'Reilley, 2012.

ADDITIONAL LEARNING SOURCES:

1. https://cloudthat.in/course/processing-bigdata-with-apache-hadoop/

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JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Machine Learning

UNIT:1

Introduction & Bayesian Decision Theory: What Is Machine Learning?, Challenges, Examples

of Machine Learning Applications, Present Research Avenues, Introduction to Bayesian

Decision Theory, Classification, Losses and Risks, Discriminant Functions, Utility Theory,

Association Rules

UNIT:2

Dimensionality Reduction: Introduction, Feature Generation, Feature Selection, Principal

Component Analysis, Factor Analysis, Multidimensional Scaling, Linear Discriminant Analysis,

Locality Preserving Projections and its variants, Locality Preserving Indexing and its variants.

UNIT:3

Supervised Learning: Learning a Class from Examples, Probably Approximately Correct

Learning, Noise, Learning Multiple Classes, Regression, Model Selection and Generalization,

Dimensions of a Supervised Machine Learning Algorithms, Decision Tree Induction, Nearest

Neighbors, Bayesian Classifier, Model Over fitting, Performance Evaluation of classifiers.

UNIT:4

Clustering: Basic Concepts, Proximity Measures, Sequential Algorithms, Hierarchical

Algorithms, Schemes based on Functional Optimization, Clustering Algorithms based on Graph

Theory, Cluster Validity.

UNIT:5

Multilayer Perceptron: The Perceptron, Learning Boolean Functions, MLP as a universal

approximator, Back Propagation Algorithm, Training Procedures, Tuning Networks, Recurrent

Networks, Radial Basis functions.

Text books:

1. Introduction to Machine Learning, Ethem Alpaydin, Second Edition, PHI Learning

Publisher, 2013 edition.

2. Pattern Recognition, Sergios Theodoridis and Konstantinos Koutroumbas, Fourth

Edition, Academic Press Publisher, 2014

Reference books:

1. Machine Learning,Tom M. Mitchell,McGrawHil Publishers, 1997.

2. Pattern Recognition and Machine Learning, Christopher M. Bishop,Spriger Publishers,

2011.

ADDITIONAL LEARNING SOURCES:

https://www.coursera.org/learn/machine-learning

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JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Wireless Communication

UNIT:1 – The Cellular Concept-System Design Fundamentals: Introduction, Frequency

Reuse, Channel Assignment Strategies, Handoff Strategies-Prioritizing Handoffs, Practical

Handoff Considerations, Interference and system capacity –Co channel Interference and

system capacity, Channel planning for Wireless Systems, Adjacent Channel interference ,

PowerControl for Reducing interference, Trunking and Grade of Service, Improving Coverage

& Capacity in Cellular Systems-Cell Splitting, Sectoring

UNIT:2 – Mobile Radio Propagation: Large-Scale Path Loss: Introduction to Radio Wave

Propagation, Free Space Propagation Model, Relating Power to Electric Field, The Three Basic

Propagation Mechanisms, Reflection-Reflection from Dielectrics, Brewster Angle, Reflection

from prefect conductors, Ground Reflection (Two-Ray) Model, Diffraction-Fresnel Zone

Geometry, Knife-edge Diffraction Model, Multiple knife-edge Diffraction, Scattering,

Outdoor Propagation Models-Longley-Ryce Model, Okumura Model, Hata Model, PCS

Extension to Hata Model, Walfisch and Bertoni Model, Wideband PCS Microcell Model,

Indoor Propagation Models-Partition losses (Same Floor), Partition losses between Floors,

Log-distance path loss model, Ericsson Multiple Breakpoint Model, Attenuation Factor Model,

Signal penetration into buildings, Ray Tracing and Site Specific Modelling

UNIT:3 Introduction to Mobile Computing Architecture: Mobile Computing–Dialog

Control–Networks –Middleware and Gateways –Application and Services –Developing

Mobile Computing Applications –Security in Mobile Computing –Architecture for Mobile

Computing –Three Tier Architecture –Design considerations for Mobile Computing –Mobile

Computing through Internet –Making existing Applications Mobile Enabled. Cellular

Technologies: GSM, GPS, GPRS, CDMA and 3G: Bluetooth–Radio Frequency Identification

–Wireless Broadband –Mobile IP –Internet Protocol Version 6 (IPv6) –Java Card –GSM

Architecture –GSM Entities –Call Routing in GSM –PLMN Interfaces –GSM addresses and

Identifiers –Network aspects in GSM –Authentication and Security –Mobile computing

overSMS –GPRS and Packet Data Network –GPRS Network Architecture –GPRS Network

Operations –DataServices in GPRS –Applications for GPRS –Limitations of GPRS –Spread

Spectrum technology –Is-95 –CDMA Versus GSM –Wireless Data –Third Generation

Networks –Applications on 3G

UNIT:4 - Wireless Application Protocol (WAP) and Wireless LAN: WAP–MMS–Wireless

LAN Advantages –IEEE 802.11 Standards –Wireless LAN Architecture –Mobility in wireless

LAN Intelligent Networks and Interworking :Introduction –Fundamentals of Call processing

–Intelligence in the Networks –SS#7 Signaling –IN Conceptual Model (INCM) –soft switch –

Programmable Networks –Technologies and Interfaces for IN. ClientProgramming, Palm OS,

Symbian OS, Win CE Architecture: Introduction–Movingbeyond the Desktop –A Peek under

the Hood: Hardware Overview –Mobile phones –PDA–Design Constraints in Applications for

Handheld Devices –Palm OS architecture –Application Development –Multimedia –

SymbianOS Architecture –Applications for Symbian, Different flavors of Windows CE -

Windows CE Architecture J2ME:JAVA in the Handset –The Three-prong approach to JAVA

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Everywhere –JAVA 2 Micro Edition (J2ME) technology –Programming for CLDC –GUI in

MIDP –UIDesign Issues –Multimedia –Record Management System –Communication in

MIDP –Security considera considerations in MIDP –Optional Packages

UNIT:5 – Voice Over Internet Protocol and Convergence: Voice over IP-H.323 Framework

forVoice over IP –Session Initiation Protocol –Comparison between H.323 and SIP –Real

Time protocols –Convergence Technologies –Call Routing –Voice over IP Applications –IP

multimedia subsystem (IMS) –Mobile VoIP Security Issues in Mobile Computing:Introduction

–Information Security –Security Techniques and Algorithms –Security Protocols –Public Key

Infrastructure –Trust –Security Models –Security

TEXT BOOKS / REFERENCES:

Text books:

1. Wireless Communications, Principles, Practice –Theodore, S. Rappaport, 2nd Ed., 2002,

PHI.

2.Wireless Communications-Andrea Goldsmith, 2005 Cambridge University Press.

3.Mobile Cellular Communication –Gottapu Sasibhushana Rao, Pearson Education, 2012.

4.Mobile Computing –Technology, Applications and Service Creation –Asoke K Talukder,

Roopa R Yavagal, 2009, TATA McGraw Hill

5.Mobile Communications –Jochen Schiller –2nd Edition –Pearson Education

Reference books:

1. Principles of Wireless Networks –Kaveh Pah Laven and P. Krishna Murthy, 2002, PE.

2. Wireless Digital Communications –Kamilo Feher, 1999, PHI.

3.Wireless Communication and Networking –William Stallings, 2003, PHI.

4.Wireless Communication –Upen Dalal, Oxford Univ. Press.

5.Wireless Communications and Networking –Vijay K. Gary, Elsevier.

6.The CDMA 2000 System for Mobile Communications –Vieri Vaughi, Alexander Damn

Jaonvic –Pearson

7.Adalestein : Fundamentals of Mobile & Pervasive Computing, 2008, TMH

ADDITIONAL LEARNING SOURCES:

https://nptel.ac.in/noc/individual_course.php?id=noc16-ec11

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JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Probability and Stochastic Processes

Unit 1:

INTRODUCTION TO PROBABILITY THEORY: Experiments, sample space, Events,

Axioms, Assigning probabilities, Joint and conditional probabilities, Baye’s Theorem,

Independence, Discrete Random Variables, Engg Examples Random Variables,

Distributions, Density Functions: CDF, PDF, Gaussian random variable, Uniform

Exponential, Laplace, Gamma, Erlang, Chi-Square, Raleigh, Rician and Cauchy types

of random variables

.Unit 2: OPERATIONS ON A SINGLE R V: Expected value, EV of Random variables,

EV of functions of Random variables, Central Moments, Conditional expected values.

Characteristic functions, Probability generating functions, Moment generating functions,

Engg applications, Scalar quantization, entropy and source coding.

Unit 3: Pairs of Random variables: Joint CDF, joint PDF, Joint probability mass

functions, Conditional Distribution, density and mass functions, EV involving pairs of

Random variables, Independent Random variables, Complex Random variables, Engg

Application

Unit 4: RANDOM PROCESS: Definition and characterization, Mathematical tools for

studying Random Processes, Stationary and Ergodic Random processes, Properties of

ACF. Markov processes, Gaussian Processes, Poisson Processes

Unit 5: Application of Random Processes Engineering applications, Signal modeling,

Channel modeling, Control Systems, Computer networks, Telephone networks.

TEXT BOOKS / REFERENCES:

Text books: 1. A. Popoulis, S. Unnikrishnan Pillai, “Probability, Random Variables and

Stochastic Processes”, McGraw Hill, 4th Edition, 2002

Reference books:1. P. Peebles, “Probability, Random Variables and Random Signal Principles”,

Mc Graw Hill 4th Edition 2017.

ADDITIONAL LEARNING SOURCES:

NPTEL Video Lectures:

Page 15: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

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JSS Science and Technology University, Mysuru

Course Code Subject Tittle Teaching Hours

Solar and Wind Energy System 52 Hours

COURSE ASSESSMENT METHOD:

• Internal Assessment Marks: 50

• Semester End Exam [ 100 Marks, 3 Hours]

COURSE OUTCOMES:

Upon successful completion of this course, students will be able to,

CO1 : Understand and Estimate solar radiation and its measurements.

CO2 : Describe solar photovoltaic energy system and analyze their practical considerations.

CO3 : Describe the various applications of Solar PV Technologies.

CO4 : Explain the fundamental parameters of wind energy system and factors affecting the

turbine design.

CO5 : Explain wind energy forms,estimate wind energy potential and explain the applications of wind

energy.

UNIT:1 – Solar Radiation and Its Measurement

Solar energy systems –overview, Solar constant. Spectral distribution of extraterrestrial radiation.

Terrestrial radiation. Solar radiation geometry. Computation of angle of incidence of solar

radiation on a surface at any location and orientation. Sun rise, sunset and day length. Empirical

formulas for estimating the availability of solar radiation. Solar radiation

measurement.Solar radiation data for India. 10 Hours

UNIT:2 – 2 Solar PV Fundamentals and Technologies

Introduction to semiconductor physics. Theory of P-N junction, operation of P-N junction as solar cells, parameters of solar cells, design of solar cells, solar cell materials and technologies, fabrication of crystalline Si solar cells, solar PV modules, PV module output as function of temperature and solar radiation. Aspects of practical design of solar PV systems – case studies, battery charging, pumping, lighting, Peltier cooling. Grid connected solar PV systems, aspects of Universal Intelligent Transformers (UIT). Solar PV-based power generation plants in India.

12 Hours

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UNIT:3 - Applications of Solar PV Technologies

Introduction to power electronics devices. Off-grid and grid-connected PV systems, components of solar PV systems, charge controller, DC-DC converter, DC-AC inverter, maximum power point tracking, energy storage options for solar PV systems, availability of solar radiation at a given location, design of off-grid PV systems, design of grid-connected PV systems. Life cycle

cost analysis.

10 hours UNIT:4 - Wind Energy System & Fundamentals

Introduction. Classification of wind turbines. Types of rotors. Terms used in wind energy

systems. Wind energy extraction. Extraction of wind turbine power. Wind characteristics. Mean

wind speed and energy estimation. Power density duration curve. Weibull Probability Density

Function and Wind Turbine Capacity Factor (WTCF).Field wind data analysis. Annual

percentage frequency distribution of wind speed. Direction of wind and windrose data. Air

density calculation. Variation of wind speed with elevation. Energy pattern factor in wind power

studies. Beaufort Wind Scale. Land for wind energy. 10 hours

UNIT:5 - Wind Turbine Design and Wind Energy system Connection

System Components :Tower ,Turbine, Blades ,Speed Control .Turbine Rating, Power vs Speed

and TSR , Maximum Energy Capture ,Maximum Power Operation, Constant-TSR Scheme

Peak-Power-Tracking.System Control Requirements: Speed Control, Rate Control.

Environmental Aspects Noise , Electromagnetic Interference (EMI) .Factors affecting design of

wind turbine rotor. Regulating system for rotor. Wind power generation curve. Sub-systems of

a horizontal axis wind turbine generator. Modes of wind power generation. Advantages and

disadvantages of wind energy systems. Wind energy farms. Wind resource surveys. Assessment

of wind availability from meteorological data. Estimation of wind energy potential. Wind

resource assessment in India. Status of wind energy systems in India. Methods of grid

connection. Doubly-fed and full-converter based wind electric generators. Pooling of wind

farms and grid interconnection. Economics of wind farms.

10 Hours

TEXT BOOKS / REFERENCES:

Text book: D P Kothari, “Renewable Energy Sources and Emerging Technologies”,2nd Edition,

2013.

Reference books: 1. Chethan S. Solanki, “Solar Photovoltaics: Fundamentals, Technologies and

Applications” PHI, 2009, New Delhi.

2. Mukund R Patel, “Wind and Solar Power Systems”, 2nd Edition, Taylor and Francis

Group, 2006.

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JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Solid State Power Devices and Applications

UNIT:1 – Solid-State Devices: Upcoming power electronic devices- SiC and GaN devices,

Design of power electronic converter. Modern semiconductor devices: MOSFET, GTO, IGBT,

GTO, SIT, SITH, MCT, their operating characteristics.

UNIT:2 – DC-DC Converters: Analysis and design of Buck, boost, buck-boost and Cuk

converters. Switched-capacitor converters. Fly-back, forward, push-pull and full-bridge

converters. Power factor correction, pSpice simulation of converters. Power supply Control,

PWM control and AC line filter.

UNIT:3 - Inverters: Review of three-phase voltage source inverters, voltage and frequency

control; Harmonic reduction techniques, PWM inverters, Space Vector Modulation; Multi-level

inverters, configurations: Diode clamped, flying capacitor and cascade multilevel inverters,

applications; Current source inverter, commutation circuits, transient voltage suppressing

techniques; DC link resonant converters, operation and control.

UNIT:4 - Adjustable speed DC motor drives and AC motor drives’ Vector control of AC motor

Drives

UNIT:5 – Practical converter design considerations: Snubber circuits, Gate and base drive

circuits, component temperature control and heat sinks, Design of magnetic components.

TEXT BOOKS / REFERENCES:

Text books:

2. Mohan N., Underland T.M. and Robbins W.P., “Power Electronics – Converters,

Applications and Design”, 3rd Edition. 2008

2. Daniel W. Hart., “Power Electronics”, 2nd Edition, McGraw-Hill International Book

Company. 2012

3. Joseph Vithayathil., “Power Electronics – Principles and Applications”, sixth

reprint.,McGraw-Hill Education (India) Edition. 2010

Reference books:

1. Lander C. W., “Power Electronics”, 3rd Ed., McGraw-Hill International Book Company.

2007

2. Dubey G. K., Doradla S. R., Joshi A. and Sinha R. M. K., “Thyristorised Power

Controllers”, New Age International Private Limited. 2008

3. Rashid M., “Power Electronics- Circuits, Devices and Applications”, 3rd Edition, Pearson

Education. 2008

ADDITIONAL LEARNING SOURCES:

Recent journal papers (IEEE/Elsevier/Springer)

Page 18: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

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JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Statistical Signal Processing

UNIT:1 Review of Random processes: Stationary processes, Gaussian processes,

Ergodicity, white noise, power spectrum, spectral factorization

UNIT:2 Signal modeling using Least squares method, Pade approximation, Prony’s

method, Autocorrelation method, Covariance method, AR, MA and ARMA models

UNIT:3 Levinson recursion, Lattice filter: FIR and IIR, Wiener filter : FIR and IIR

filter. Kalman filter

UNIT:4 Spectrum Estimation :Nonparametric methods, Periodogram, Bartlett’s

method, Welch’s method, Blackman-Tukey approach, Maximum Entropy method,

Parametric Methods, Frequency estimation, Principal components spectrum estimation

UNIT:5 Adaptive filtering: LMS and RLS algorithm, Linear Quadratic Gaussian filter,

Design, Analysis and implementation.

TEXT BOOKS / REFERENCES:

Text books: 1. Monson Hayes, “Statistical Digital Signal Processing and Modelling”, Wiley

India 2014

Reference books: B. Widrow, S. Stearns, “Adaptive Signal Processing”, Pearson 2015.

ADDITIONAL LEARNING SOURCES:

NPTEL Video lecture by Prof S Mukhyopadhyay, IIT Kharagpur https://www.youtube.com/watch?v=Ru3FhYbjcFs&list=PL4FB9652402002C76

Page 19: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

19

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Rehabilitation Engineering

UNIT:1

Rehabilitation Engineering: Introduction, assistive technology, seating and common

pathologies, biomechanics applications to joint structure and function, Human Joint design; Joint

Function and changes in disease Postures; Static and Dynamic Postures; Analysis of Standing,

Sitting and Lying Postures. Gait: Gait cycle and joint motion; Ground reaction forces; Trunk and

upper extremity motion; internal and external forces, moments and conventions; Gait

measurements and analysis.

UNIT:2 –

Functional Electrical Stimulation (FES): clinical considerations of FES foot drop and wrist

drop, spinal cord stimulation, deep brain stimulation. Wheel chair design: manual wheelchairs,

electric power wheelchairs, power-assisted wheelchairs. wheelchair Standards

UNIT:3 -

Hearing Impairment : Types of Hearing Impairment, Hearing Assistance Technology Solutions

Medical or Surgical Approaches to Restoring Function Visual Substitutions to Auditory

Activities Vocational, Daily Living, and Communication Aids

UNIT:4 -

Prosthetic Devices: Components of the Upper Limb Prosthesis, Cosmetic Prostheses,

Components of the Lower Limb Prosthesis, Hip and Pelvic Components, Knee Joints, Ankles

and Feet Orthotic Devices in Rehabilitation Engineering: General orthotics, Classification of

orthotics-functional & regional, General principles of Orthosis, Biomechanics of orthoses, merits

& demerits of orthotics, Material design consideration in orthotics, Spinal Orthosis, Cervical,

Head cervical thoracic orthosis, Thoraco lumbar sacral orthosis

UNIT:5 –

Aids for Blind or Visually impaired: Dimensions of Visual Impairment and Their Impact on

Task Performance, General-Purpose Assistive Technology Solutions Cortical Implants Retinal

Implants Optic Nerve Stimulation Head-Mounted Displays and Image Enhancement for Low

Vision. Blind Mobility Aids Audible Pedestrian Signals Technology for Reading, Writing, and

Graphics Access Computer and Internet Access Visually Impaired Access to Telephones and

Cell Phones

Page 20: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

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Advanced Subjects Circuital branches

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

ADVANCED BIOMEDICAL

SIGNAL PROCESSING

UNIT:1 – Biomedical signal origin: ECG,EEG, EMG, objective and difficulties in Biomedical

signal analysis. Filtering for Removal of artifacts: Random noise, structured noise and

physiological interference, stationary versus non-stationary processes, Time domain filters :

Synchronized averaging, Moving average filters, Derivative based operator, Frequency domain

Filters: Butterworth high pass and low pass filters, Notch filter, Optimal filters: The Weiner filter.

UNIT:2 –Signal averaging: Basics of signal averaging, signal averaging as a digital filter, A

typical average, Software for signal averaging, Limitations of signal averaging. Adaptive filters:

The adaptive noise canceller, Least mean square adaptive filter, the recursive least square

adaptive filter, selection of an appropriate filter, Removal of artifacts in ECG, Maternal-Fetal

ECG, muscle-contraction interference

UNIT:3 - Event Detection: Derivative based methods in QRS detection, Pan Tompkins

algorithm for QRS detection in ECG, the P wave, T wave and ST segment analysis, correlation

analysis-EEG Rhythms, waves and transients, detection of EEG rhythms, Template matching for

EEG spike and wave detection, coherence analysis of EEG

UNIT:4 - Waveform Analysis: Illustrations of problem with case studies, Morphological

analysis of ECG. Correlation coefficient, The minimum phase correspondent, signal length,

Envelope analysis and extraction, amplitude demodulation, the envelogram, Analysis of activity,

Root mean square value, Zero crossing rate, Turns count, Form factor.

UNIT:5 – Frequency Domain Analysis: The Periodogram, Averaged Periodogram Blackman-

Tukey spectral estimator .Modeling of Biomedical Signals: Motor-unit firing patterns, Cardiac

rhythm, Formants and pitch in speech. Parametric modeling: Autoregressive modeling,

Computation of model parameters by Levinson–Durbin algorithm, Spectral matching and

parameterization, Optimal model order, Relationship between AR and cepstral coefficients,

ARMA modeling: Sequential estimation of poles and zeros.

TEXT BOOKS / REFERENCES:

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21

Text books:

1. Biomedical signal analysis- A case study approach, Rangayyan Rangaraj, Wiley

Inderscience (IEEE Press)-2005

2. Willis J Tompkins, Biomedical Digital Signal Processing, Prentice Hall, 2004.

3. D.C. Reddy, “Biomedical Signal Processing: Principles and techniques” , Tata McGraw

Hill, New Delhi, 2005

References:

1. A.V. Oppenheim and R. W Shafer, “Discrete time signal processing”, Prentice Hall,1989.

2. Akay M,” Biomedical Signal Processing,” Academic: Press 1994.

3. Cohen.A,”Biomedical Signal Processin”, vol. I Time & Frequency Analysis, CRC Press,

1986.

ADDITIONAL LEARNING SOURCES:

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22

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Advanced Dielectrics and Electrical

Insulation Engineering

UNIT:1 – Introduction: Properties of dielectric/electric material, classification, Electric fields,

Design parameters for High Voltage equipments, Air Dielectrics: Uniform/Non uniform

breakdown, discharges under nano sec pulse voltages, gap type discharges, application and

modelling, voltage stress and impulse breakdown probability, breakdown voltage characteristic,

volt-time curve and insulation coordination, arc discharge,undesirable effects of corona, TV

interface12 Hours

UNIT:2 – SF6, Liquid and Vacuum dielectric/insulation: Breakdown processes in SF6,

Uniform/Non uniform field breakdown,factors affecting discharge voltage, arcinterruption, GIS,

Compressed gas insulated cable, other applications, gas handling, Arc interruption in oils and

vacuum, reconditioning of insulating oil's, dielectric loss, applications. 10 Hours

UNIT:3 – Insulating materials for outdoor insulation:Environmental Stresses on Insulators,

Pollution Deposits on Power System Insulators- Effects of Temperature on Electrical

Conductivity, Conversion to Equivalent Salt Deposit Density., Self-Wetting of Contaminated

Surfaces, Surface Wetting by Fog Accretion, Surface Wetting by Natural Precipitation, Surface

Wetting by Artificial Precipitation, Composite insulators edge breakdown, cavity breakdown,

surface erosion, tracking. 10 Hours

UNIT:4 – Electrical performance of Insulator in pollution conditions - Breakdown of Polluted

Insulators, Outdoor Exposure Test Methods, Indoor Test Methods for Pollution Flashovers, Salt-

Fog Test, Clean-Fog Test, Method, Other Test Procedures, Effects of Insulator Parameters,

Pressure Effects on Contamination Tests,Temperature Effects on Pollution Flashover.

10 Hours

UNIT:5 – Mitigation options for improved performance in pollution conditions-Monitoring for

Maintenance,Cleaning of Insulators, Coating of Insulators. Adding Accessories,Adding More

Insulators.,Changing to Improved Designs.,Changing to Semiconducting Glaze Changing to

Polymer Insulators.,Icing and snow flashovers, environmental corrections, mitigation options,

insulation coordination for icing and polluted environment. 10 Hours

Page 23: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

23

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Information and Network Security

UNIT:1 –

Security Goals, Security Attacks Interruption, Interception, Modification and Fabrication

Security Services (Confidentiality, Authentication, Integrity, Non-repudiation, access Control

and Availability) and Mechanisms, A model for Internet work security, Internet Standards and

RFCs

UNIT:2 –

Conventional Encryption Principles & Algorithms (DES, AES, RC4), Block Cipher Modes of

Operation, Location of Encryption Devices, Key Distribution, Public key cryptography

principles, public key cryptography algorithms(RSA, RABIN, ELGAMAL, Diffie-Hellman,

ECC), Key Distribution.

UNIT:3 -

Approaches of Message Authentication, Secure Hash Functions (SHA-512, WHIRLPOOL) and

HMAC Digital Signatures: Comparison, Process- Need for Keys, Signing the Digest, Services,

Attacks on Digital Signatures, Kerberos, X.509 Directory Authentication Service.

UNIT:4 -

Email Security: Pretty Good Privacy (PGP) and S/MIME.IP Security Overview, IP Security

Architecture, Authentication Header, Encapsulating Security Payload, Combining Security

Associations and Key Management Web Security Requirements, Secure Socket Layer (SSL) and

Transport Layer Security (TLS), Secure Electronic Transaction (SET).

UNIT:5 –

Basic concepts of SNMP, SNMPv1 Community facility and SNMPv3, Intruders, Viruses and

related threats, Virus Countermeasures Firewall Design principles, Trusted Systems, Intrusion

Detection Systems

TEXT BOOKS / REFERENCES:

Text books:

1. William Stallings, “Cryptography and Network Security – Principles and Practices”, 7th

Edition, Pearson Education, 2014.

2. Behrouz A. Forouzan and Debdeep Mukhopadhyay: “Cryptography and Network

Security”, 2nd Edition, Tata McGraw-Hill, 2014.

Reference books:

Page 24: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

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1. Atul Kahate, “Cryptography and Network Security” 2nd Edition, Tata McGraw-Hill

Publishing Company, 2010.

2. Network Security Private Communication in a public world, Charlie Kaufman, Radia

Perlman & Mike Speciner, Prentice Hall of India Private Ltd., New Delhi, 2011.

3. Network Security Essentials Applications and Standards, William Stallings, Pearson

Education, New Delhi, 2010.

4. Network Security Complete Reference by Roberta Bragg, Mark Phodes-Ousley, Keith

Strassberg Tata Mcgraw-Hill, 2009.

ADDITIONAL LEARNING SOURCES:

1. https://nptel.ac.in/courses/106105031/

2. https://mrajacse.wordpress.com/2012/01/06/cryptography-network-security-ebooks/

3. www.williamstallings.com/Crypto/Crypto4e.html

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25

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Nonlinear Systems

UNIT:1 – Nonlinear systems :Mathematical description, Scalar differential equations, Vector

differential equations, Examples , Equilibrium point, Taylors series, Linearization

10 Hours

UNIT:2 – Second order systems, phase portraits of various types of nonlinear systems, systems

with periodic orbits

12 Hours

UNIT:3 - Conditions for existence and uniqueness of solutions, proof using fixed point theorem,

examples of non-uniqueness and finite-escape time features.

10 Hours

UNIT:4 Stability definitions, Lyapunov theorem for autonomous systems, Invariance principle,

Stability of non-autonomous systems, Input –Output stability

12 Hours

.UNIT:5 – Sliding mode control systems, Switched linear control systems: stability and control

algorithms 8 Hours

TEXT BOOKS / REFERENCES:

Text books: 1) Hasan K Khalil, “Nonlinear Systems”, Pearson Indian Edition 2015

2)M Vidyasagar, “Nonlinear systems Analysis” Prentice Hall India, 2010

Reference books: 1)Shankar Shastry, “Nonlinear Systems: Analysis, Stability and Control”, Springer

Series on Interdisciplinary Applied Mathematics, 1999

ADDITIONAL LEARNING SOURCES:

NPTEL Video Lectures by Prof Madhu Belur and Harish Pillai, IIT Bombay

https://www.youtube.com/watch?v=060INy3vHcw&list=PLbMVogVj5nJTWGLf42BxjQW7wlje4203y

Page 26: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

26

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Bio and RF MEMS

UNIT 1 – Micropump Applications in Bio-MEMS: Micromixers, Microfabricated Devices for

Sample Extraction, Concentrations, and Related Sample Processing Technologies, Bio-MEMS

Devices in Cell Manipulation: Microflow Cytometry and Applications

UNIT 2 – Sensing Technologies for Bio-MEMS Applications : Coupling Electrochemical

Detection with Microchip Capillary Electrophoresis, Culture-Based Biochip for Rapid Detection

of Environmental Mycobacteria, MEMS for Drug, Microchip Capillary Electrophoresis Systems

for DNA Analysis, Bio-MEMS Devices for proteomics, Single-Cell and Single-Molecule

Analyses Using Microfluidic Devices, Pharmaceutical Analysis Using Bio-MEMS.

UNIT 3 – UV Lithography, Titled Lithography, LIGA Process, Deep X-Ray Lithography,

Molding of LIGA microstructures, Nanoimprinting technology for Biomedical applications, Hot

embossing for Lab-on-a-chip applications.

UNIT 4 – Introduction: RF MEMS for microwave applications, The beginning of RF MEMS,

Configurations, Comparison of MEMS switches, Application areas, Case studies, RF MEMS

development, Integration with silicon and GaAs electronics, Linearity and intermodulation

products, packaging, power handling and reliability.

UNIT 5 – Mechanical modeling of MEMS devices- static and dynamic analysis: Spring constant

of fixed beams, Spring constant of Low-k beams, Spring constant of cantilever beams, Spring

constant of circular diaphragms, Electrostatic actuation, shape of the deformed beam, DC hold

down voltage of MEMS beams and cantilevers, Linear dynamic analysis of MEMS beams, Gas

fundamentals, Damping coefficient/quality factor, Nonlinear dynamic analysis of MEMS beams,

Switching and release time calculations, Switching Mechanisms of MEMS beams, switching

energy.

Page 27: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

27

UNIT 6 – MEMS switch fabrication and packaging : Introduction, fabrication of MEMS

capacitive switches, DC –contact series switches, Lateral DC contact switches, Release

procedures, Substrate transfer process, Packaging of MEMS switches.

TEXT BOOKS / REFERENCES:

Text books:

1. Wanjun Wang and Steven A. Soper. Bio-MEMS Technologies and Applications, CRC

Press, 2007.

2. Gabriel G Rebeiz, “RF MEMS Theory, Design and Technology”, Wiley publications,

1st Edition, 2003.

Reference books:

1. Fundamentals of BioMEMS and Medical Microdevices, Steven Saliterman, SPIE

Press, 2006

ADDITIONAL LEARNING SOURCES:

http://nptel.ac.in/

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28

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Advanced Networks

UNIT:1

Requirements, Network architecture, Networking principles, Network services and Layered

architecture, Network services and Layered architecture, Future networks ( Internet, ATM, Cable

TV, Wireless – Bluetooth, Wi-Fi, WiMax, Cell phone )

UNIT:2

Virtual circuits, Fixed size packets, Small size packets, Integrated service, History, Challenges,

ATM Network protocols, IP over ATM, Wireless networks: Wireless communication basics,

architecture, mobility management, wireless network protocols. Ad-hoc networks Basic concepts,

routing; Bluetooth (802.15.1), Wi-Fi (802.11), WiMAX (802.16), Optical Network: links, WDM

system, Optical LANs, Optical paths and networks.

UNIT:3

Control of networks: objectives and methods of control, Circuit switched networks, ATM

networks. Mathematical background for control of networks like Circuit switched networks,

Datagram and ATM networks.

UNIT:4

Routing architecture, Routing between peers ( BGP), IP switching and Multi-Protocol Label

Switching (MPLS), MPLS Architecture and related protocols, Traffic Engineering (TE) and

TEwith MPLS, NAT and Virtual Private Networks (L2, L3, and Hybrid), CIDR –Introduction,

CIDR addressing, CIDR address blocks and Bit masks.

UNIT:5

Mobile IP- characteristics, Mobile IP operation, Security related issues. Mobility in networks,

Voice and Video over IP (RTP, RSVP, QoS) IPv6: Why IPv6, basic protocol, extensions and

options, support for QoS, security, etc., neighbour discovery, auto-configuration, routing.

Application Programming Interface for IPv6.

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29

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Advanced Data Structures & Algorithms

UNIT:1 – Elementary Data Structure: Arrays, Sparse Matrices, strings, stack, queues,

Evaluation of Expressions , Linked list, Amortized analysis of Data structures : Aggregate

analysis, The accounting method, The potential method, Dynamic tables

10 Hours

UNIT:2 – Binary Trees and operations, Binary search tress: Operation and Characteristics,

Binary Heaps, Fibonacci Heap : Structure of Fibonacci heaps, Mergeable-heap operations,

Decreasing a key and deleting a node, AVL trees, Red Black Trees : Properties, rotations,

insertion, deletion, augmented data structure

UNIT:3 - Elementary Graph Algorithms : Representations of graphs, The Bellman-Ford

algorithm, Single-source shortest paths in directed acyclic graphs , Flow networks, The Ford-

Fulkerson method, Maximum bipartite matching

UNIT:4 - Polynomials: Representation and Operations, Polynomials and the FFT:

Representing polynomials, The DFT and FFT, Efficient FFT implementations. Number-

Theoretic Algorithms: Elementary number-theoretic notions, Greatest common divisor,

Modular arithmetic, Solving modular linear equations, The Chinese remainder theorem.

UNIT:5 – Probabilistic Analysis and Randomized Algorithms :The hiring problem,

Indicator random variables, Randomized algorithms, Approximation Algorithms : The

vertex-cover problem, The travelling-salesman problem, The set-covering problem

Randomization and linear programming

TEXT BOOKS / REFERENCES:

1. Thomas H Charles, Ronald, Clifford Stein, Rivest Leiserson Cormen “Introduction to

Algorithms”, 3nd Edition, PHI.

2. Horowitz, Ellis, Sahni, Sartaj & Anderson-Freed, “Fundamentals of Data Structures in

C (Second Edition)”, Universities Press

Reference books:

1. Mark Allen Weiss (Second Edition) “Data Structures and Algorithm Analysis in C”,

Pearson

2. Robert L. Kruse, Bruce P. Leung, “Data Structures and Program Design in C (Second

Edition)”, Pearson

3. M. Goodrich, R. Tamassia, and D. Mount “Data Structures and Algorithms in C++”,

Wiley 2004

Page 30: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

30

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours Pattern Recognition

UNIT:1 –

Introduction to Pattern Recognition, Bayes Decision Theory:- Bayes Decision Rule, Minimum

Error Rate Classification, Normal Density and Discriminant Functions, Error Integrals and

Bounds, Bayesian Networks, Compound Decision Theory

UNIT:2

Maximum-Likelihood and Bayesian Parameter Estimation:-Maximum-Likelihood Estimation,

Bayesian Parameter Estimation, Sufficient Statistics, Some Common Statistical Distributions,

Dimensionality and Computational Complexity, Principal Components Analysis, Fisher Linear

Discriminant, Expectation Maximization, Sequential Data and Hidden Markov Models.

Nonparametric Techniques:-Density Estimation.

UNIT:3 -

Distance-based Methods:-Nearest neighbor Classification, Metrics and Tangent Distance,

Fuzzy Classification. Linear Discriminant Functions:-Hyperplane Geometry, Gradient Descent

and Perceptrons, Minimum Squared Error Procedures, Support Vector Machines.

UNIT:4 -

Artificial Neural Networks:-Feed forward Network Functions, Network Training, Error Back

propagation, Hessian Matrix, Regularization in Neural Networks, Mixture Density Networks.

Kernel Methods:- Dual Representations, Constructing Kernels, Radial Basis Function Networks,

Gaussian Process.

UNIT:5 –

No-Free Lunch Theorem, Bias and Variance, Resampling for Estimation, Estimation of

Misclassification, Classifier Combination, Unsupervised Learning and Clustering Analysis:-

Partitioning Methods, Hierarchical Clustering, Fuzzy Clustering, Density-based Clustering,

Model-based clustering.

TEXT BOOKS / REFERENCES:

Text books:

1. Pattern Classification (2nd. Edition) by R. O. Duda, P. E. Hart and D. Stork, Wiley 2002.

2. Pattern Recognition and Machine Learning by C. Bishop, Springer 2006.

3. Earl Gose, Richard Johnsonbaugh, Steve Jost, “Pattern Recognition and Image Analysis”,

2005.

Reference books:

1. Morton Nadler and Eric Smith P., “Pattern Recognition Engineering”, John Wiley and

Sons, New York, 1993.

2. Touand , Gonzalez R. “Patten Recognition Principles” Addision Wesley, 1974.

3. Statistics and the Evaluation of Evidence for Forensic Scientists by C. Aitken and F.

Taroni, Wiley, 2004.

ADDITIONAL LEARNING SOURCES:

https://nptel.ac.in/courses/106106046/

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JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Internet of Things

UNIT:1 –

IoT-An Architectural Overview– Building an architecture, Main design principles and needed

capabilities, An IoT architecture outline, standards considerations. Reference Model and IOT

Architecture - Architecture Reference Model – IOT Reference Architecture. Physical design of

IOT, Logical Design of IOT, IOT enabling technologies, IOT Levels & Deployment Templates

UNIT:2 –

Introduction: M2M, Difference between IoT and M2M, SDN and NFV for IOT. M2M and IoT Technology

Fundamentals- Devices and gateways, Local and wide area networking, Data management, Business

processes in IoT, Everything as a Service(XaaS), M2M and IoT Analytics, Knowledge Management

UNIT:3 -

IOT Datalinklayerand Network layer protocols: PHY/MAC Layer(3GPP MTC, IEEE 802.11,

IEEE 802.15), WirelessHART,Z-Wave,Bluetooth Low Energy, Zigbee Smart Energy, DASH7 -

Network Layer-IPv4, IPv6, 6LoWPAN, 6TiSCH,ND, DHCP, ICMP, RPL, CORPL, CARP.

Transport and Session layer protocols: Transport Layer (TCP, MPTCP, UDP, DCCP, SCTP)-

(TLS, DTLS) – Session Layer-HTTP, CoAP, XMPP, AMQP, MQTT

UNIT:4 -

Developing Internet of Things:Introduction, IoT Design Methodology, Case Study on IoT System

For Weather Monitoring.IOT and Related Issues - IOT & Related Future Internet Technologies –

Networks & Communication – Processes & Data Management - Security, Privacy & Trust -

Protocol Convergence

UNIT:5 –

IOT Smart Applications, Cloud Service Management and IOT - Connecting IOT to cloud – Cloud

Storage for Iot – Data Analytics for IoT – Software & Management Tools for IOT.

TEXT BOOKS / REFERENCES:

Text books:

Page 32: asic Subjects - JSS Science and Technology University · 3 JSS Science and Technology University, Mysuru Course Code Course Title Teaching Hours Linear Systems UNIT:1 – Review of

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1. Bernd Scholz-Reiter, Florian Michahelles, “Architecting the Internet of Things”, ISBN

978-3-642-19156-5 e-ISBN 978-3-642-19157-2, Springer

2. Ovidiu Vermesan, Peter Friess, “Internet of Things – From Research & Innovation to

Market Deployment”, River Publishers, 2014

3. ArshdeepBahga, Vijay Madisetti, ”Internet of Things : A Hands on Approach”Universities

Press., 2015

Reference books:

Jan Holler, VlasiosTsiatsis, Catherine Mulligan, Stefan Avesand, StamatisKarnouskos, David

Boyle, “From Machine-to-Machine to the Internet of Things: Introduction to a NewAge of

Intelligence”, 1stEdition, Academic Press, 2014.

ADDITIONAL LEARNING SOURCES:

http://www.cse.wustl.edu/~jain/cse570-15/ftp/iot_prot/index.html

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33

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Power Quality Enhancement using Custom

Power Devices 52 Hours

COURSE ASSESSMENT METHOD:

• Internal Assessment Marks: 50

• Semester End Exam [ 100 Marks, 3 Hours]

COURSE OUTCOMES:

Upon successful completion of this course, students will be able to,

CO1: Analyze the Power quality issues and concerns of the country.

CO2: Identify and analyze the type of Power quality problems with reference to IEEE/IET standards. CO3: Realize the structure and control of Power Converters.

CO4: Realize the structure and algorithms for load compensation using DSTATCOM.

CO5: Realize the structure and control techniques of DVR and UPQC for power quality problems.

UNIT:1 Introduction and Characterization of Electric Power Quality: Electric Power Quality, Power

Electronic applications in Power Transmission Systems, Power Electronic applications in Power

Distribution Systems. Power Quality terms and Definitions, Power Quality

Problems.

10 Hours

UNIT:2 Analysis and Conventional Mitigation Methods: Analysis of Power Outages, Analysis of Unbalance , Analysis of Distortion, Analysis of Voltage Sag, Analysis of Voltage Flicker, Reduced Duration and Customer impact of Outages, Classical Load Balancing Problem, Harmonic Reduction, Voltage Sag or Dip Reduction.

10 Hours

UNIT:3 Custom Power Devices: Introduction, Utility-Customer Interface, Custom Power Devices, Custom Power Park, Status of Application of CP Devices. Structure and Control of Power Converters: Inverter topology, High voltage inverters, Combining inverters for increased power, Open loop voltage control, Closed-Loop Switching Control, Second and higher order Systems.

10 Hours

UNIT:4 Load Compensation using DSTATCOM: Compensating Single Phase loads, Ideal Three phase shunt compensator structure, Generating Reference Currents using Instantaneous Symmetrical Components, General algorithm for generating reference currents and Generating reference currents when the source is unbalanced.

10 Hours

UNIT:5 Series Compensation of Power Distribution System: Rectifier supported DVR, DC Capacitor Supported DVR, DVR Structure, Voltage Restoration and Series Active Filter Unified Power Quality

Compensators: Introduction, Classification of UPQC, Principle of operation and control of UPQC 12 Hours

TEXT BOOKS / REFERENCES:

Text book:

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1. Arindam Ghosh and Gerard Ledwich, “Power Quality Enhancement Using Custom

Power Devices”, Springer, 2002. Reference

books:

1. Bhim Singh, Ambrish Chandra and Kamal Al-Haddad “Power Quality Problems and Mitigation Techniques”, Wiley, John Wiley and Sons Ltd, 2015.

2. Math Hj Bollen, “Understanding Power Quality Problems; Voltage Sags and Interruptions”, John Wiley & Sons Inc (Sea) Pte Ltd, 2014.

3. Roger C Dugan, Mark F Mcgranaghan and Surya Santoso, “Electrical Power Systems Quality”, Tata Mcgraw Hill Publishing Co Ltd, 2014.

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

5. Ewald F Fuchs, et., “Power Quality in Power System and Electrical Machines”, Academic Press, Elsevier, 2009.

6. C. Shankaran, “Power Quality”, CRC Press, 2013.

ADDITIONAL LEARNING SOURCES:

https://www.nrel.gov/solar/

http://www.powerqualityworld.com/

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JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

SPEECH PROCESSING

UNIT:1 – Digital Models for Speech Signals: Process of Speech Production, Classification

of Phonemes, Digital models for Speech signals. Digital Representations Sampling speech

signals, Review of the statistical model for speech, Instantaneous quantization, Adaptive

quantization, General theory of differential quantization, Delta modulation, Differential PCM

UNIT:2 – Introduction to digital signal processing: Introduction, A digital signal

processing system, discrete time sequences, linear time invariant systems, Fast Fourier

Transform (FFT) and Inverse Fast Fourier Transform (IFFT), Digital FIR Filters, Decimation

and Interpolation process.

UNIT:3 - Time Domain Models for Speech Processing: Time dependent processing of

speech, Short time Energy and average magnitude, Short time average zero crossing rate,

Speech vs. silence discrimination using energy and zero crossing, Pitch period estimation using

parallel processing approach, Short time autocorrelation function, Short time average

magnitude difference function, Pitch period estimation using autocorrelation function.

Short Time Fourier Analysis: Introduction, Definitions and properties, Fourier transform

interpretation, Linear filtering interpretation, Sampling rates of X(ejw) in time and frequency,

Filter bank summation method of short time synthesis, Cepstrum analysis, Mel-frequency

cepstrum, Spectrogram and its applications.

UNIT:4 -

Linear predictive coding analysis: Basic principles of linear predictive analysis, Solution of

LPC equations using autocorrelation method, covariance method, Lattice method Applications

of LPC parameters.

Speech Compression: Speech compression using LPC and DCT.

Speech Enhancement: Principles of Speech enhancement, Evaluation of speech intelligibility,

Speech enhancement algorithms: Spectral subtraction, LMS Adaptive filtering algorithm.

UNIT:5 –

Speech Synthesis: Principles of Speech synthesis, Synthesis based on waveform coding,

Synthesis based on analysis synthesis method, Synthesis based on speech production

mechanism, Synthesis by rule, Text to speech conversion.

Speech and Speaker Recognition: Principles of Speech recognition, Speech period detection,

Spectral distance measures, Structure of word recognition systems, Dynamic time warping

(DTW), Word recognition using phoneme units, Text dependent and Text independent speaker

recognition systems.

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Hearing: Anatomy and physiology of the ear, Types of hearing impairments, Digital hearing

aid, Cochlear implants.

TEXT BOOKS / REFERENCES:

Text books:

1. Digital Processing of Speech Signals, L R Rabiner and R W Schafer, Pearson

Education 2004.

2. Digital Speech Processing, Synthesis and Recognition, Sadoaki Furui, Second

Edition, Mercel Dekker 2002.

Reference books:

1. Introduction to Data Compression, Khalid Sayood, Third Edition, Elsivier

Publications.

2. Digital Speech, A M Kondoz, Second Edition, Wiley Publications

3. Digital hearing aids: A tutorial review, Harry levitt, Journal of Rehabilitation

research, Vol 24, N0-4, 1987.

4. Signal processing for Cochlear Prothesis: A Tutorial review , Philips C.Loizou,

1997, IEEE, Cochlear implants.

5. Modern Digital Signal processing, Dr.V.Udayashankara, 3rd Edition, PHI

ADDITIONAL LEARNING SOURCES:

http://nptel.ac.in/courses/117105081/

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37

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Advanced Database Management Systems

UNIT:1 –

Data on external storage; File organizations and indexing; Index data structures; Comparison

of file organizations; Indexes and performance tuning. Memory hierarchy; RAID; Disk space

management; Buffer manager; Files of records; Page formats and record formats

UNIT:2 –

Indexing : Indexing structure for Files: Primary, clustering, secondary and multi level indexes,

Indexed sequential access method; B-Trees and B+ trees, Search, Insert, Delete, Duplicates,

B+ trees in practice, Hash-Based Indexing: Static hashing; Extendible hashing, Linear hashing,

comparisons

UNIT:3 -

Algorithms for query processing and optimization : Introduction, Translating SQL queries in

to relational algebra, Algorithms for external sorting, Evaluating Relational Operators : The

Selection operation; General selection conditions; The Projection operation; The Join

operation; The Set operations; Aggregate operations; The impact of buffering, combining

operations using pipelining, Heuristic optimization of query trees. Estimating the cost of a plan;

Relational algebra equivalences

UNIT:4 -

Physical Database Design and Tuning: Introduction; Guidelines for index selection, examples;

Clustering and indexing; Indexes that enable index-only plans; Tools to assist in index

selection; Overview of database tuning; Choices in tuning the conceptual schema; Choices in

tuning queries and views; Impact of concurrency; DBMS benchmarking.

Distributed databases and client server architecture, Distributed database concept, data

fragmentation, replication and allocation techniques, types of distributed database, query

processing in distributed data bases, concurrency control and recovery distributed databases.

UNIT:5 –

Mobile databases; Multimedia databases; Geographical Information Systems; Genome data

management

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38

TEXT BOOKS / REFERENCES:

Text books:

1. Elmasri and Navathe: Fundamentals of Database Systems, 7th Edition, Pearson

Education, 2016.

2. Raghu Ramakrishnan and Johannes Gehrke: Database Management Systems,

Indian Edition, McGraw-Hill, 2014.

Reference books:

1. Abraham Silberschatz, Henry F. Korth and S. Sudharshan: Data base System

Concepts, 6th Edition, McGrawhill publication, 2010.

2. Connolly and Begg: Database Systems, 6th Edition, Pearson Education, 2014.

ADDITIONAL LEARNING SOURCES:

1. C.J.Date, A.Kannan, S.Swamynathan, ―An Introduction to Database Systems,

Eighth Edition, Pearson Education, 2006.

2. Carlo Zaniolo, Stefano Ceri, Christos Faloutsos, Richard T.Snodgrass,

V.S.Subrahmanian, Roberto Zicari, ―Advanced Database Systems, Morgan

Kaufmann publishers,2006.

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39

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Biomaterials & Artificial Organs

UNIT:1 –

Structure of Bio-Materials and Bio-Compatibility Definition and classification of bio-materials, mechanical properties, visco-elasticity, wound-

healing process, body response to implants, blood compatibility

UNIT:2 –

Metallic Implants

Metallic implant materials, stainless steels, co-based alloys, Ti-based alloys, ceramic implant

materials, aluminum oxides, hydroxyapatite glass ceramics carbons, medical applications

UNIT:3 -

Polymeric Implant Materials

Polymerization, polyamides, Acryrilic polymers, rubbers, high strength thermoplastics, medical

applications. Bio polymers: Collagen and Elastin

UNIT:4 -

Artificial Organs

Introduction, Substitutive medicine, outlook for organ replacement, design consideration,

evaluation process. Artificial Heart And Circulatory Assist Devices: Engineering design, Engg

design of artificial heart and circulatory assist devices, blood interfacing implants – introduction,

total artificial hearts &ventricular assist devices, vascular prostheses, Non-blood interfacing

implants for soft tissues- sutures and allied augmentation devices, percutaneous and skin

implants, maxillofacial implants, eye and ear implants. Cardiac Valve Prostheses: Mechanical

valves, tissue valves, current types of prostheses

UNIT:5 –

Artificial lung (oxygenator), artificial kidney (Dialyzer membrane), dental implants – artificial

limb & hand, artificial pancreas: Structure and functions of pancreas, endocrine pancreas and

insulin secretion, diabetes, insulin, insulin therapy, insulin administration systems. Tracheal

replacement devices, laryngeal replacement devices, artificial esophagus Artificial Skin: Vital

functions of skin, current treatment of massive skin loss, design principles for permanent skin

replacement.

TEXT BOOKS / REFERENCES:

Text books:

1. Joon B. Park Joseph D. Bronzino, Biomaterials - Principles and Applications – CRC Press,

2003

2. Biomedical Engineering Handbook-Volume 1 & II, J. D. Bronzino, 2nd Edition CRC

Press / IEEE Press, 2000.

Reference books:

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40

1. Sujata V. Bhatt, Biomaterials Second Edition, Narosa Publishing House,2005.

2. R. S. Khandpur , Handbook of Biomedical Instrumentation - by, 2nd Edition, Tata

McGraw Hill, 2003

ADDITIONAL LEARNING SOURCES:

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41

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Biometrics & Applications

UNIT:1 –

Introduction to Biometrics : Biometrics as authentication scheme, operation of a biometric

system, verification versus identification, performance of a biometric system, error and accuracy

in biometric systems, applications of biometrics, biometric characteristics and types, forensic

biometric traits, dental, voice, signature identification.

UNIT:2

Fingerprint recognition: fingerprint sensing, acquisition devices, feature extraction, ridge

orientation and frequency, segmentation, singularity detection, enhancement and binarization,

minute extraction, matching approaches, palmprint features, finger print and palmprint

recognition in forensics.

UNIT:3 -

Face recognition: face recognition techniques, principal component analysis(PCA), eigenfaces,

linear discriminant analysis(LDA) and fisherfaces, local face recognition and hybrid face

recognition techniques, Ear as a biometric, approaches, PCA, force field transformation, acoustic

ear recognition.

UNIT:4 -

Iris recognition and vascular pattern recognition: typical iris recognition system, image

acquisition, capturing devices, iris segmentation, segmentation using the integro-differential

operator, segmentation using geodesic active contours, iris normalization, coordinate

transformation, image enhancement, feature extraction, recognition, encoding and matching,

performance evaluation, hand vascular pattern technology, operation, acquisition, feature

extraction, pattern matching.

UNIT:5 –

Gait and hand geometry: Gait recognition, segmentation of walking humans, detection and

extraction algorithms, shadow removal, gait cycle detection, gait analysis for feature extraction,

radon transform, gait recognition, hand geometry, image capture, processing steps, performance.

TEXT BOOKS / REFERENCES:

Text books:

1. Hand Book of Biometrics: Anil K. Jain, Patrick Flynn, Arun A. Ross, Springer, 2008

(ISBN: 978-0-387-71040-2) .

2. Signal and Image Processing for Biometrics: ed. Amine Nait-Ali and Regis Fournier, Wiley

2012, (ISBN: 978-1-84821-385-2).

Reference books:

1. Guide to Biometrics, Ruud M. Bolle, Jonathan H. Connel, Sharath Pankanti, Nalini K Ratha,

Andrew W Senior, Springer, 2009 (ISBN: 0387400893).

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42

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Theory of Computation 52 Hours

COURSE ASSESSMENT METHOD:

• Internal Assessment Marks: 50

• Semester End Exam [ 100 Marks, 3 Hours]

COURSE OUTCOMES:

Upon successful completion of this course, students will be able to,

CO1: Design finite automata for regular languages.

CO2: Analyze regular expressions and properties of regular languages

CO3: Design context free grammar and drive parses tree using context free grammar for the

given formal language

CO4: Design and evaluate push down automata for a given context free language

CO5: Develop Turing machine for given Recursively enumerable languages.

UNIT:1– The Central Concepts of Automata Theory: Alphabets, Strings, Languages

Deterministic Finite Automata,Non-Deterministic Finite Automata, An Application of Finite

Automata, Finite Automata with Epsilon Transition, Equivalence and Minimization of Automata

10 Hours

UNIT:2 – Regular Expression, Finite Automata and Regular Expression, Applications on

Regular Expressions, algebraic laws for regular expression, Proving the Languages not to be

Regular, Closure Properties of Regular Languages, decision properties of regular languages

10 Hours

UNIT:3 - Context Free Grammar, Parse Trees, Application of Context Free Grammars,

Ambiguity in Grammars and Languages, normal forms for context free grammars

10 Hours

UNIT:4 - Pushdown Automata, Languages of PDA, Equivalence of PDA’s and CFG’s,

Deterministic Pushdown Automata, Pumping Lemma for Context Free Languages, Closure

Properties of Context Free Languages, Decision properties of CFL’s

10 Hours

.UNIT:5 – Turing Machine, Programming Technique for Turing Machine, Extension to the Basic

Turing Machine, Restricted Turing Machines, Church’s hypothesis, Undecidability, Recursive,

and recursively enumerable languages; post correspondence, intractable problem, classes P and

NP, NP-complete problem, A restricted satisfiability problem

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43

12 Hours

TEXT BOOKS / REFERENCES:

Text books: 1. John E. Hopcroft, Rajeev Motwani, Jeffrey D. Ullman: Introduction to Automata Theory,

Languages and Computation, 3rd Edition, Pearson education, 2007.

2. Peter Linz, Finite Automata & Formal Languages, 4th edition, Narosa Publication, 2001.

Reference books: 1. John C Martin: Introduction to Languages and Automata Theory, 3rd Edition, Tata

McGraw- Hill, 2007.

2. Daniel I.A. Cohen: Introduction to Computer Theory, 2nd Edition, John Wiley & Sons,

2004.

3. Thomas A. Sudkamp: An Introduction to the Theory of Computer Science, Languages

and Machines, 3rd Edition, Pearson Education, 2006.

ADDITIONAL LEARNING SOURCES:

NPTEL lecture class

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44

JSS Science and Technology University, Mysuru

Course Code Course Title Teaching Hours

Advanced Software Engineering 52 Hours

COURSE ASSESSMENT METHOD:

• Internal Assessment Marks: 50

• Semester End Exam [ 100 Marks, 3 Hours]

COURSE OUTCOMES:

Upon successful completion of this course, students will be able to,

CO1: Understand Mathematics of Software engineering.

CO2: Summarize Clean room approach and Strategies used in software development.

CO3: Understand needs and Artifacts of Component based software development

CO4: Understand and Apply Client / server software engineering concepts in software

development.

CO5: Possess insight into Reengineering and CASE tools in software engineering context.

UNIT:1 – FORMAL METHODS 10 Hours

Basic Concepts, Deficiencies of Less Formal Approaches, Mathematics in Software

Development, Formal Methods Concepts, Mathematical Preliminaries, Sets and Constructive

Specification, Set Operators, Logic Operators, Sequences, Applying Mathematical Notation for

Formal Specification, Formal Specification Languages, Using Z to Represent an Example

Software Component, The Ten Commandments of Formal Methods, Formal Methods—The

Road Ahead.

UNIT:2 – CLEANROOM SOFTWARE ENGINEERING 10 Hours

The Clean room Approach, The Clean room Strategy, What Makes Clean room Different?,

Functional Specification, Black-Box Specification, State-Box Specification, Clear-Box

Specification, Clean room Design, Design Refinement and Verification, Advantages of Design

Verification, Clean room Testing, Statistical Use Testing, Certification.

UNIT:3 - COMPONENT-BASED SOFTWARE ENGINEERING 10 Hours

Engineering of Component-Based Systems, The CBSE Process, Domain Engineering, The Domain

Analysis Process, Characterization Functions, Structural Modeling and Structure Points,

Component-Based Development, Component Qualification, Adaptation, and Composition,

Component Engineering, Analysis and Design for Reuse, Classifying and Retrieving Components,

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45

Describing Reusable Components, The Reuse Environment, Economics of CBSE, Impact on

Quality, Productivity, and Cost. Cost Analysis Using Structure Points, Reuse Metrics.

UNIT:4 CLIENT/SERVER SOFTWARE ENGINEERING 10 Hours

The Structure of Client/Server Systems, Software Components for c/s Systems, The Distribution

of Software Components, Guidelines for Distributing Application Subsystems, Linking c/s

Software Subsystems, Middleware and Object Request Broker Architectures, Software

Engineering for c/s Systems, Analysis Modeling Issues, Design for c/s Systems, Architectural

Design for Client/Server Systems, Conventional Design Approaches for Application Software,

Database Design, An Overview of a Design Approach, Process Design Iteration, Testing Issues,

Overall c/s Testing Strategy, c/s Testing Tactics.

UNIT:5 – REENGINEERING and CASE 12 Hours

Business Process Reengineering, Business Processes, Principles of Business Process

Reengineering, A BPR Model, Words of Warning, Software Reengineering, Software

Maintenance, A Software Reengineering Process Model, Reverse Engineering, Reverse

Engineering to Understand Processing, Reverse Engineering to Understand Data, Reverse

Engineering User Interfaces, Restructuring, Code Restructuring, Data Restructuring, Forward

Engineering, Forward Engineering for Client/Server Architectures, Forward Engineering for

Object-Oriented Architectures, Forward Engineering User Interfaces, The Economics of

reengineering. Computer-aided software engineering: What is CASE? Building Blocks for CASE,

Taxonomy of CASE Tools, Integrated CASE Environments, The Integration Architecture, The

CASE Repository, The Role of the Repository in I-CASE, Features and Content.

TEXT BOOKS / REFERENCES:

Text book:

1. Pressman R.S., “Software Engineering- A Practitioner’s approach”, McGraw Hill, 6th edition.

Reference books:

1. Pankaj Jalote “An Integrated Approach to Software Engineering”, Narosa Publications. 2. Ian Sommerville, “Software Engineering”, Pearson Education 3. Jawadekar , “Software Engineering” , Tata Mcgraw Hill.

ADDITIONAL LEARNING SOURCES:

Online Software engineering courses Like NPTEL, SWYAM, MOOC etc.