gyan vihar school of engineering & …. tech. (ic).pdf · gyan vihar school of engineering...

GYAN VIHAR SCHOOL OF ENGINEERING & TECHNOLOGY

M. TECH. – INFORMATION COMMUNICATION (2 YEARS PROGRAM)

(A) Need objective and main features of the curriculum

Information Technology branch in school of Engg. &Tech. had started with a view

to cater best in class knowledge dissemination on Information, communication

Engineering and its related tools. The curriculum was developing for the branch to

cater best mixture of theory and hand on various tools and technology of

communication Information Engineering with following objective.

A. To provide best in class I.T Engineer.

B. To provide best exposure to current trends in I.T market.

C. To inculcate Skill as per current market trends.

D. To develop best Engineering Skill among student.

E. The curriculum was designed as the global need and trends.

(B) Role of curriculum in the national development

The Curriculum was developing in accordance with model Syllabus of AICTE and

Prime institution which reflect our commitment in national development. Apart

from this the syllabi in develop in consultation with top industry like Infosys, TCS,

IBM, who are building force of national ICT. Infrastructure some course introduced

is of same or above level of primer ICT institutes. The syllabus of I.T is more of

ICT then traditional IT syllabus having greater impact in national building

(C) Global trends reflective in the curriculum

Global trends like in Information communication are well addressed in syllabus

contains recent technology like java, J2EE, ASP.NET and Android. Apart from that

syllabus has high degree of dynamicity. Global trends and use of modern aid are

taken due respect by providing Tutorials, problem session in interaction with

academic, industrial expert.

(D) Possibility, motivation and scope for self learning

Syllabus is designed as per standard guidelines of self learning. Tutorial and

practical are spread among whole syllabus with stress of problems and real life.

Apart from this assignment and quiz are organized on topic on basis of syllabus to

further strengthened taken PBL (problem based learning) .The syllabus and class

room lecture also consist of references not only from real world but also from

success stories and case studies.

(E) Placement opportunities.

As the syllabus were designed in accordance with Industry, which upgrade change

of student to get placed. Apart from that unique feather of curriculum, designed and

mentored by industry expert also enhance chance of placement. The course of latest

tools and technology also supports in placement.

GYAN VIHAR SCHOOL OF ENGINEERING AND TECHNOLOGY

DEPARTMENT OF INFORMATION TECHNOLOGY

Teaching and Examination Scheme for M. Tech. FULL-TIME (Core) (Information Communication)

Edition 2012

Year I Semester – I

S.

No.

Course

Code

Course Name Credits Contact Hrs/Wk. Exam

Hrs.

Weightage

(in%)

L T/S P CE ESE

A. Theory Papers

1 IT 501 Mobile & Satellite Communication(VII) 3 3 - - 3 30 70

2 IT 503 Information system and Securities(IX) 3 3 - - 3 30 70

3 IT 505 Advance Computer Communication(IX) 3 3 - - 3 30 70

M. Tech. (IC) – Elective I 3 3 - - 3 30 70

4 IT 507 A Advance Digital Signal Processing

IT 507 B Soft Computing

HS 501 Soft Skills training- I

IT 507C Analog & Digital Communications

B. Practical & Sessional:

5 IT 551 Mat Lab 2 - - 3 - 60 40

C. Discipline and Extra Curricular

Activities

DE 501 Discipline and Extra Curricular Activities – I 2 100

Total 16 12 0 3

Total Teaching Load 15

Year I Semester – II

S.

No.

Course

Code


Hrs.

Weightage

(in%)

L T/S P CE ESE

A. Theory Papers

1 IT 502 Geographic Information System 3 3 - - 3 30 70

2 IT 504 Wireless Communication 3 3 - - 3 30 70

3 IT 506 Distributed Network Communication 3 3 - - 3 30 70

M. Tech. (IC) – Elective II 3 3 - - 3 30 70

4 IT 508 A Adaptive Filter Theory

IT 508 B Software Defined Radio Architectures

IT 508 C Advance date Structures & Algorithm

HS 502 Soft Skills training- II


5 IT 552 Network Simulator Lab 2 - - 3 - 60 40


Activities

DE 502 Discipline and Extra Curricular Activities – II 2 100

Total 16 12 0 3


L = Lecture T = Tutorial CE = Continuous Evaluation

S = Seminar P = Practical ESE = End Semester Examination


DEPARTMENT OF INFORMATION TECHNOLOGY

sTeaching and Examination Scheme for M. Tech. FULL-TIME (Core) (Information Communication)

Edition 2012

Year II Semester – III

S.

No.

Course

Code


Hrs.

Weightage

(in%)

L T/S P CE ESE

A. Theory Papers

1 IT 601 Advance Database Management System 3 3 - - 3 30 70

2 IT 603 Advanced Optical Communications 3 3 - - 3 30 70

M. Tech (IC) Elective III 3 3 - - 3 30 70

3 IT 603 A Multi – Objective Optimization in Computer Networks

- - - - - - -

IT 603 B Cognitive Radio Technology - - - - - - -

IT 603 C Genetic Algorithms - - - - - - -

M. Tech (IC) Open Elective III

4 CP 523 Research Paper writing 2 - - 3 3 60 40

HS 601 Soft Skills training- III


5 IT 653 Project Seminar 5 - - 10 5 60 40


Activities

DE 601 Discipline and Extra Curricular Activities – III 2 100

Total 18 6 0 13


Year II Semester – IV

S.

No.

Course

Code


Hrs.

Weightage

(in%)

L T/S P CE ESE

A. Practical & Sessional:

1 DI 602 M. Tech. Dissertation / Thesis 14 0 0 - 60 40


Activities

DE 602 Discipline and Extra Curricular Activities – III 2 100

Total 16 0 0 -

Total Teaching Load

L = Lecture T = Tutorial CE = Continuous

Evaluation

S = Seminar P = Practical ESE = End Semester

Examination


ENGG. CLUSTER - B

LIST OF COURSES OF M. TECH. –IC

L = Lecture T = Tutorial CE = Continuous Evaluation

S = Seminar P = Practical ESE = End Semester Examination

Course

Code


Hrs.

Weightage

(in%)

L T/S P CE ESE

IT 501 Mobile & Satellite Communication 3 3 - - 3 30 70

IT 502 Geographic Information System 3 3 - - 3 30 70

IT 503 Adv. Information system and Securities 3 3 - - 3 30 70

IT 504 Wireless Communication 3 3 - - 3 30 70

IT 505 Adv Computer Communication 3 3 - - 3 30 70

IT 506 Distributed Network Communication 3 3 - - 3 30 70

IT 507 A Advingance Digital Signal Proces 3 3 - - 3 30 70

IT 507 B Soft Computing 3 3 - - 3 30 70

IT 507C Analog & Digital Communications 3 3 - - 3 30 70

IT 508 A Adaptive Filter Theory 3 3 - - 3 30 70

IT 508 B Software Defined Radio Architectures 3 3 - - 3 30 70

IT 508 C Advanced Data Structures & Algorithm 3 3 - - 3 30 70

IT 551 Mat Lab 2 - - 3 - 60 40

IT 552 Network Simulator Lab 2 - - 3 - 60 40

IT 601 Advance Database Management System 3 3 - - 3 30 70

IT 603 Advanced Optical Communications 3 3 - - 3 30 70

IT 603 A Multi – Objective Optimization in Computer

Networks

3 3 - - 3 30 70

IT 603 B Cognitive Radio Technology 3 3 - - 3 30 70

IT 603 C Genetic Algorithms 3 3 - - 3 30 70

IT 653 Seminar 5 - - 3 5 60 40

DI 602 M. Tech. Dissertation / Thesis 16 0 0 - - 60 40

IT 601 Advanced Database Management L3 T0 P0 C3

Units Course Contents Hours

1

Database Security Introduction; Discretionary Access Control; Mandatory Access Control; Statistical Databases; Data Encryption.

8

2 Optimization: Introduction; Query Processing; Expression Transformation; Databases Statistics; Divide and conquer strategy.

7

3

Type Inheritance : Introduction; Type Hierarchies; Polymorphism and Substitutability; Variables and Assignments; Specialization by Constraint.

7

4

Distributed Databases: Introduction; the twelve objectives; Problems of distributed systems; client/ server systems; DBMS independence.

8

5

Decision Support: Introduction; Aspects of Decision Support; Database Design for Decision Support; Data preparation.Data Warehouses and Data mart: Online Analytical processing; Data Mining. Logic Based Databases :Introduction; Propositional Calculus; Predicate Calculus; A Proof Theoretic View of Databases; Deductive database systems; recursive

query processing

7

Total 37 Text Book:

C.J. Date, An introduction to Database Systems, 7th Ed. Pearson Education, New Delhi, 2004.

Reference Texts:

1. H. Korth et al. Database Management System concepts, 3rd

Ed. TMH, New Delhi 2002

2. B.Desai, Database Management Systems Galgotia Publications, New Delhi, 1998

CP 523 RESEARCH PAPER WRITTING L3 T0 P0 C3

RESEARCH PAPER WRITING PROCEDURE WILL BE GUIDED BY THE FACULTY

IT 503 INFORMATION SYSTEM AND SECURITIES L3 T0 P0 C3


1 Introduction to security attacks, introduction to cryptography. data encryption standard(DES), strength of DES, differential and linear crypt analysis of DES, block cipher modes of operations, triple DES, IDEA encryption and decryption, strength of IDEA, confidentiality using conventional encryption, traffic confidentiality, key distribution, random number generation.

6

2

Principals of public key crypto systems, RSA algorithm, security of RSA, key management, Diffle-

Hellman key exchange algorithm, introductory idea of Elliptic curve cryptography, Elganel

encryption. Authentication Applications: Kerberos and X.509, directory authentication service,

electronic mail security-pretty good privacy (PGP), S/MIME.

7

3

Message Authentication and Hash Function: Authentication requirements, authentication

functions, message authentication code, hash functions, birthday attacks, security of hash functions and MACS, MD5 message digest algorithm, Secure hash algorithm(SHA).Digital Signatures: Digital Signatures, authentication protocols, digital signature standards (DSS), proof of digital signature algorithm.

7

4

Technical Steganography, Linguistic Steganography, Wisdom from Cryptography Principles of Steganography: Framework for Secret Communication, Security of Steganography System, Techniques of Steganography.Watermarking and Copyright Protection: Basic Watermarking,

Watermarking Applications, Requirements and Algorithmic Design Issues, Types and Benchmarking of Watermarking system.

7

5

Understanding Cyber Crimes: Defining Crime in context of Internet –Types of crime in, Internet Computing damage in Internet crime. Indian Penal Law & Cyber Crimes: Fraud, Hacking, Mischief, Trespass, Defamation, Stalking, Spam.

8

Total 35 Reference Books:Stallings -Network Security Essentials ,PearsonEduction Asia , 2003 Nick Galbreath -Cryptography for database

and Internet applications, Wiley-Dreamtech, 2002

Stallings - Cryptography & Network Security ,PearsonEduction Asia , 2nd Ed.

IT 506 DISTRIBUTED NETWORK COMMUNICATION L3 T0 P0 C3


1

OSI Application Layer Service Elements-e.g. FTAM, virtual terminal protocol, X.400 message

handling. Network Services and Applications-X.500 directory services, information retrieval, online

transaction processing, electronic mail, conferencing and EDI.Protocols-Routing and switching

protocols functions, design, implementation and testing. RIP version1 & 2, VLAN, STP

8

2 Architectures, Standards and Protocols-TCP OSI/IP, connectionless and connection-oriented

protocols, protocol stacks. Network Design, Performance, Operation and Management-architecture,

interoperability and open systems issues. Distributed Systems-client/server model, workstations,

distributed operating systems, remote procedure call.

7

3 Routing Advance protocols: OSPF, EIGRP, BGP, IS-ISinstallationand confirmation in details 7

4

Local and Metropolitan Area Networks-Ethernet, token ring and FDDI-I and II, DQDB - principles

and components. Internetworking-bridges and routers, Internet design and evolution.Integrated Data

Networks-narrow band and broadband ISDN, and associated protocols (e.g. SSL7, ATM), CTI

8

5

Wide Area Networks-X.25 packet switching principles, protocols and components, frame relay, cell

switching, routing. Security and Reliability of Networks-fault-tolerant and safety/mission critical

systems, encryption, access control, network virus problems

7

Total 37

Reference Books: 1. Comer DE, (1995), Internet working with TCP/IP Vol. 1, 3e, Prentice-Hall.

2. Kessler G and Train D, (1992), Metropolitan Area Networks, McGraw-Hill.

3. Feit S, (1993), TCP/IP, McGraw-Hill.

4. Stallings W, (1997), Data and Computer Communications 5e, Macmillan.

5. Stallings W, (1995), ISDN and Broadband ISDN 3e, Macmillan

IT 508 A ADAPTIVE FILTER THEORY L3 T0 P0 C3


1 Introduction: the fitering problems, adaptive filters, linear filter structures, real and complex form of adaptive filters and its applications.

8

2 Linear optimum filtering: Problem statements, principal of orthogonility, MMSE, wiener-hops equations, Linear prediction, Levinson-Durbin algorithma, Joint and block estimation, Kalman filters.

7

3

Linear adaptive filtering: Method of steepest descent, least mean-square algorithm, blockadaptve filters, fast LMS algorithm, Data windowing, QR algorithm.

7

4 Recusive least squar algorithm, square roots adaptive filters, order recursive adaptive filter, Marcov model of system identification, quantization errors.

8

5 Nonlinear adaptive filtering: blind deconvolution, back propagation learning, radial basis networks, recursive hybrid learning procedure..

7

Total 37

Suggested reference materials:

1. Adaptive Filter Theor, Simon Hykin, PHI 2. Neural networks by Simons Hykin , PHI

IT 508B Software Defined Radio Architecture L3 T0 P0 C3


1 Reconfigurability in Heterogeneous Networks, System Functions for Reconfigurability in Mobile Networks, User Requirements for SDR Terminals, The Evolution of Mobile Service Provision Towards 3G, Network Reconfigurability – Enablers for Next Generation Mobile Service Provision, Reconfigurability Functionality in Mobile Networks, Challenges in Realising Network Reconfigurability Management

8

2 Adaptive Protocols, Protocol Adaptability in a Generic Reconfigurable Environment, Requirements for the SDR Architecture, Protocol Downloading ,Adaptive Protocol Stacks , Execution Environment for Adaptive Protocols , Ad hoc Networking, Generic Management Architecture Providing for Protocol Adaptability and Reconfiguration

7

3

Logical Functions Supporting Reconfigurable Terminals, Terminal Functionalities , Network Functionalities , Design and Development Considerations for Reconfigurability , Factors Influencing Terminal Reconfiguration , Centralised vs. Distributed Proxy Architecture ,

Interworking Scenario and Vertical Handover Support ,Software Download Support ,Bandwidth Management Module , Ad Hoc Networks and Reconfigurable Terminals

7

4 Self-Learning and Adaptive Systems: The CODA Approach, The CODA Architecture ,The Conceptual

Architecture , A General Conceptual Architecture ,The Logical Architecture of CODA , Using CODA for

Network Reconfiguration ,The Practical Implementation of CODA ,The Internal Structure of a Typical

CODA Layer Data Warehouse Architectural Considerations

8

5 Software and Hardware Reconfiguration : Reconfiguration of Base Stations and Mobile Terminals , Abstract Modelling of Reconfigurable Devices, The Role of Local Intelligence in

Reconfiguration , Classification and Rating of Reconfigurable Hardware, Processing Elements , Connection Elements ,Global Interconnect Networks , Hierarchical Interconnect Networks , Installing a New Configuration , Applying Reconfiguration Strategies, Reconfiguration Based on Comparison , Resource Recycling , Flexible Workload Management at the Physical Layer , Optimised Reconfiguration , Optimisation Parameters and Algorithms , Optimisation Algorithms , Specific Reconfiguration Requirements , Reconfiguring Base Stations , Reconfiguring Mobile Terminals

7

Total 37 Suggested reference materials:

1. Software Defined Radio Architectures, Systems and Functions, Markus Dillinger, KambizMadani, Nancy Alonistioti, John Wiley &

Sons Inc.

2. www.sdrform.org

IT 508C ADVANCED DATA STRUCTURES & ALGORITHM L3 T0 P0 C3


1 Advanced data structures: self-adjustment, persistence and multidimensional trees. 8

2 Randomized algorithms: Use of probabilistic inequalities in analysis & applications. 7

3

Geometric algorithms: Point location, convex hulls and Voronoi diagrams, Arrangements. Graph algorithms: Matching and Flows.

7

4 Approximation algorithms: Use of Linear programming and primal dual, local search heuristics.

8

5 Parallel algorithms: Basic techniques for sorting, searching, merging, list ranking in PRAMs and Interconnection networks.

7


1. Motwani and Raghavan "Randomized Algorithms", Cambridge University Press

2. Preparata and Shamos "Computational Geometry", Springer Verlag

3. Mehlhorn "Data Structures and Algorithms: 1, Searching and Sorting", Springer Verlag EATCP Monograph on Theoretical

Computer Science

4. Papadimitrou and Steiglitz "Combinatorial Optimization", Princeton University Press

5. Joseph Ja'Ja' "Introduction to Parallel Algorithms" Addison-Wesley.

6. Vaizirani "Approximation Algorithms", Springer

IT 507 A ADVANCE DIGITAL SIGNAL PROCESSING 1 MTIC-05

Unit Course Contents Hour

s

1 Signal Processing Methods: Non -parametric Signal Processing, Model-Based Signal Processing,

Bayesian Statistical Signal Processing, Applications of Digital Signal Processing, Adaptive Noise

Cancellation and Noise Reduction, Blind Channel Equalization,

8

2 Signal Classification and Pattern Recognition, Linear Prediction Modeling of Speech, Digital Coding

of Audio Signals, Detection of Signals in Noise, Directional Reception of Waves: Beam-forming,

Dolby Noise Reduction, Radar Signal Processing: Doppler Frequency Shift

7

3

NOISE AND DISTORTION: White Noise, Coloured Noise, Impulsive Noise, Transient Noise

Pulses, and Thermal Noise. Shot Noise, Electromagnetic Noise, Channel Distortions, Modelling

Noise, Additive White Gaussian Noise Model (AWGN), Hidden Markov Model for Noise

7

4

Bayesian Estimation Theory: Basic Definitions, Dynamic and Probability Models in Estimation,

Parameter Space and Signal Space, Parameter Estimation and Signal Restoration, Performance

Measures and Desirable Properties of Estimators,Prior and Posterior Spaces and Distributions,

Bayesian Estimation, Maximum A Posteriori Estimation, Maximum-Likelihood Estimation,

Minimum Mean Square Error Estimation, Minimum Mean Absolute Value of Error Estimation,

Gaussian Processes With Uniform Distributed Parameters

8

5 Power Spectrum and Correlation:Fourier Series: Representation of Periodic Signals, Fourier

Transform: Representation of Aperiodic Signall, Discrete Fourier Transform (DFT), Time/Frequency

Resolutions, The Uncertainty Principle, Energy-Spectral Density and Power-Spectral Density,Non-

Parametric Power Spectrum Estimation,The Mean and Variance of Periodograms, Power Spectrum

Estimation from Autocorrelation of Overlapped Segments, Model-Based Power Spectrum

Estimation, Maximum–Entropy Spectral Estimation ,Autoregressive Power Spectrum Estimation,

Moving-Average Power Spectrum Estimation, Autoregressive Moving-Average Power Spectrum

Estimation.

7

Total 37

Reference Books: 1. Prokis&Monolakis-Digital Signal Processing: Principles, Algorithms & Application, Prentice hall of India.

2. Advanced Digital Signal Processing and Noise Reduction, Second Edition. Saeed V. Vaseghi Copyright © 2000 John Wiley &

Sons Ltd ISBNs: 0-471-62692-9 (Hardback): 0-470-84162-1 (Electronic)

IT 507 B SOFT COMPUTING 1 MTIC-05


1 ARTIFICIAL INTELLIGENCE :Particle Swarm Algorithm , PSO Algorithm to Maximize the

Function F(X, Y, Z) , M-program for PSO Algorithm , Program Illustration , Genetic Algorithm

,Roulette Wheel Selection Rule, Example, M-program for genetic algorithm , Program illustration ,

Classification of Genetic Operators , Simple crossover, Heuristic crossover, Arith crossover ,

Simulated Annealing , Simulated Annealing Algorithm, Examples

8

2 Back Propagation Neural Network , Single Neuron Architecture, Algorithm,Example, Fuzzy Logic

Systems, Union and Intersection of Two Fuzzy ,Fuzzy Logic Systems, Example, Realization of

Fuzzy Logic System for the Specifications given in Section , Ant Colony Optimization, Algorithm,

Example, Optimal Order using Ant Colony Technique

7

3

PROBABILITY AND RANDOM PROCESS: Independent Component Analysis ,ICA for Two Mixed

Signals,ICAalgorithm,Gaussian Mixture Model ,Expectation-maximization Algorithm, Expectation stage,

Maximization stage,K-Means Algorithm for Pattern Recognition, K-means Algorithm, Fuzzy K-Means

Algorithm for Pattern Recognition, Fuzzy K-means Algorithm, Example, Fuzzy k-means Algorithm

7

4

Ear Pattern Recognition Using Eigen Ear, Algorithm, Ear Image Data Compression using

Eigen Basis ,Adaptive Noise Filtering using Back Propagation Neural Network, Binary Image Rotation Using Transformation Matrix , Binary Image Rotation with 45 Degree ,Anticlockwise Direction, Clustering Texture Images Using K-means Algorithm

8

5 Search Engine Using Interactive Genetic Algorithm, Speech Signal Separation and Denoising Using Independent Component Analysis ,Detecting Photorealistic Images using ICA Basis ,

7

Binary Image Watermarking Using Wavelet Domain of the Audio Signal

Total 37 Reference Books:

1Algorithm Collections for Digital Signal Processing Applications Using Matlab, E.S. Gopi, Springer.

2. Neural networks by Simons Hykins , PHI

IT 507 C ANALOG AND DIGITAL COMMUNICATION 1 MTIC-05 Units Course Contents Hours

1 INTRODUCTION: Introduction to communication systems, signals and spectra, electromagnetic

spectrum and its usage, communication channels and propagation characteristics

8

2 Modulation Techniques & Noise: amplitude modulation and demodulation - spectra, circuits and

systems, frequency modulation/demodulation, frequency division multiplexing, radio transmitters

and receivers, sampling theory, pulse modulation and demodulation, types of noise spectra, circuits &

systems, circuit noise, performance of analogue communication systems in AWGN and fading

channels

7

3

Introduction to Satellite Systems; Orbiting satellites, satellite frequency bands, communication

satellite systems, satellite modulation and multiple access formats; Satellite uplink and downlink analyses

in C, Ku and Ka bands; multiple beam, frequency reuse; Satellite transponder; Satellite front end.

7

4

Digital Transmission: Introduction, pulse modulation, PCM – PCM sampling, signal to quantization

noise rate, commanding – analog and digital – percentage error, delta modulation, adaptive delta

modulation, differential pulse code modulation, pulse transmission , data modems, - Asynchronous

modem, Synchronous modem, low-speed modem, medium and high speed modem, modem control.

8

5 Digital Modulation techniques: Introduction to ASK, FSK, PSK, QPSK and DPSK.QAM and PAM

modulation techniques.

7

Total 37

Reference Books: 1. Analog and digital communication by Lathi, Oxford Publication.

2. Analog and digital communication by Symons Hykins

IT 508 A ADAPTIVE FILTER THEORY L3 T0 P0 C3


1 Introduction: the fitering problems, adaptive filters, linear filter structures, real and complex form of adaptive filters and its applications.

8

2 Linear optimum filtering: Problem statements, principal of orthogonility, MMSE, wiener-hops equations, Linear prediction, Levinson-Durbin algorithma, Joint and block estimation, Kalman filters.

7

3

Linear adaptive filtering: Method of steepest descent, least mean-square algorithm, blockadaptve filters, fast LMS algorithm, Data windowing, QR algorithm.

7

4 Recusive least squar algorithm, square roots adaptive filters, order recursive adaptive filter, Marcov model of system identification, quantization errors.

8

5 Nonlinear adaptive filtering: blind deconvolution, back propagation learning, radial basis networks, recursive hybrid learning procedure..

7

Total 37

Suggested reference materials: 1. Adaptive Filter Theor, Simon Hykin, PHI 2. Neural networks by Simons Hykin , PHI

IT 508B Software Defined Radio Architecture L3 T0 P0 C3


1 Reconfigurability in Heterogeneous Networks, System Functions for Reconfigurability in Mobile Networks, User Requirements for SDR Terminals, The Evolution of Mobile Service Provision Towards 3G, Network Reconfigurability – Enablers for Next Generation Mobile Service Provision, Reconfigurability Functionality in Mobile Networks, Challenges in

Realising Network Reconfigurability Management

8

2 Adaptive Protocols, Protocol Adaptability in a Generic Reconfigurable Environment, Requirements for the SDR Architecture, Protocol Downloading ,Adaptive Protocol Stacks ,

7

Execution Environment for Adaptive Protocols , Ad hoc Networking, Generic Management Architecture Providing for Protocol Adaptability and Reconfiguration

3

Logical Functions Supporting Reconfigurable Terminals, Terminal Functionalities , Network

Functionalities , Design and Development Considerations for Reconfigurability , Factors Influencing Terminal Reconfiguration , Centralised vs. Distributed Proxy Architecture , Interworking Scenario and Vertical Handover Support ,Software Download Support ,Bandwidth Management Module , Ad Hoc Networks and Reconfigurable Terminals

7

4 Self-Learning and Adaptive Systems: The CODA Approach, The CODA Architecture ,The Conceptual

Architecture , A General Conceptual Architecture ,The Logical Architecture of CODA , Using CODA for

Network Reconfiguration ,The Practical Implementation of CODA ,The Internal Structure of a Typical

CODA Layer Data Warehouse Architectural Considerations

8

5 Software and Hardware Reconfiguration : Reconfiguration of Base Stations and Mobile Terminals , Abstract Modelling of Reconfigurable Devices, The Role of Local Intelligence in Reconfiguration , Classification and Rating of Reconfigurable Hardware, Processing Elements , Connection Elements ,Global Interconnect Networks , Hierarchical Interconnect Networks , Installing a New Configuration , Applying Reconfiguration Strategies, Reconfiguration Based on Comparison , Resource Recycling , Flexible Workload Management at the Physical Layer , Optimised Reconfiguration , Optimisation Parameters and Algorithms , Optimisation Algorithms , Specific Reconfiguration Requirements , Reconfiguring Base Stations , Reconfiguring Mobile Terminals

7


1. Software Defined Radio Architectures, Systems and Functions, Markus Dillinger, KambizMadani, Nancy Alonistioti, John Wiley &

Sons Inc.

2. www.sdrform.org

IT 508C ADVANCED DATA STRUCTURES & ALGORITHM L3 T0 P0

C3


1 Advanced data structures: self-adjustment, persistence and multidimensional trees. 8

2 Randomized algorithms: Use of probabilistic inequalities in analysis & applications. 7

3

Geometric algorithms: Point location, convex hulls and Voronoi diagrams, Arrangements. Graph algorithms: Matching and Flows.

7

4 Approximation algorithms: Use of Linear programming and primal dual, local search heuristics.

8

5 Parallel algorithms: Basic techniques for sorting, searching, merging, list ranking in PRAMs and Interconnection networks.

7


1. Motwani and Raghavan "Randomized Algorithms", Cambridge University Press

2. Preparata and Shamos "Computational Geometry", Springer Verlag

3. Mehlhorn "Data Structures and Algorithms: 1, Searching and Sorting", Springer Verlag EATCP Monograph on Theoretical

Computer Science

4. Papadimitrou and Steiglitz "Combinatorial Optimization", Princeton University Press

5. Joseph Ja'Ja' "Introduction to Parallel Algorithms" Addison-Wesley.

6. Vaizirani "Approximation Algorithms", Springer

IT 551 WEB DESIGNING 1 MTIC-04


1

Introduction to. NET Framework: Genesis of. Net, feature of .Net binaries, Intermediate language. Meta data , .Net types and .net name spaces, Managed and unmanaged code, Assembly, Common Language Runtime, Common type System, Common language

specification, security, class library, Memory management garbage collector.

7

2 ADO.net : Basics of ADO .net, changes from ADO, data table, data views, data set, execute reader, execute scalar, execute non query data relation type, ADO.net managed provider, OLEDB and SQL managed providers, OLEDB data adaptor type. Basics of ASP.net: Introducing ASP.net, creating and deploying ASP.net, application, web forms, web controls,

6

working with events, Rich web controls, custom web controls, validation controls, debugging ASP.net pages

3

Advance ASP.net: Introducing ASP.net configuration, business objects, HTTP Handlers,

caching in ASP.net security, localizing ASP.netBuilding web services: Introduction of web services infrastructure, SOAP, deploying and publishing web services, finding web services, consuming web services.

7

4

HTML common tags- List, Tables, images, forms, Frames; cascading Style sheets; Web Pages - types and issues, tiers; comparisons of Microsoft and java technologies, WWW-Basic concepts, web client and web server, http protocol (frame format), universal resource locator (url).

6

5 XML,DHTML: Document type definition, XML Schemas, Document Object model, presenting XML, Using XML Processors: DOM and SAX, The need of dynamic web pages; an overview of DHTML, cascading style sheet (css), comparative studies of different technologies of dynamic page creation.

8

Total 34

Reference Books: 1. Advanced ASP.NET AJAX Server Controls for .net Framework by CalderonUnderstanding .Net by Chappell

2. Framework Design Guidelines: Conventions, Idioms, and Patterns for Reuable .NET Libraries, 3. Essential ASP .NET by Onion

IT 552 ADV JAVA & J2EE L0 T0

P3 C2


1

CORE –JAVA: Introduction of Java ,Data types and Variables, Operators and Expression, Control

Flow Statements, Methods, Object-Oriented Programming, Objects and Classes , Using Java

Objects, Inheritance in Java , Packages , Exception Handling, Input/output Streams , Collection

Framework , Inner Classes , Introduction to Threads , Interfaces and Abstract Classes , Serialization,

Generics, Uses for Meta-Data.

8

2 Java Beans: Introduction to Java Beans, Advantages of Java Beans, BDK Introspection, Using

Bound Properties, Bean Info Interface, Constrained properties persistence, Customizes, Java Beans

API,

7

3

Introduction to EJB’s ,J2SE Data Types, Arrays, Type Casting, Classes and Objects, Inheritance,

Interfaces, Exception Handling, Multi Threading, JSP Concept of MVC Architecture and the role of

JSP, JSP life cycle, Syntax: Declarations, Scriptlets, Expression Language, Declaration, Directives,

Action Tags

7

4

J2EE Architecture:J2EE as a framework, Client Server Traditional model, Comparison amongst 2-

tier, 3-tier and N-tier architectures, Thin and Thick Clients, Brief origin and advantages over CGI,

J2EE Servlet 2.x Specification, Writing small Servlet Programs, Deployment Descriptor, Inter

Servlet Collaboration, Session: Definition, State on web, Different ways to track sessions

8

5

Web Servers: Introduction to Serve lets: Lifecycle of a Server let, JSDK, the serve let API, the javaz.

serve let package, Reading Serve let parameters, Reading Initialization parameters. The javaz. Serve

let HTTP package, Handling Http Request & Responses, Using Cookies Session Tracking, Security

Issues,

7

Total 37

Reference Books:

1. Web Technologies - Godbole A. S. &Kahate A., TMH.

2. Professional Java Server Programming --- Allamaraju et al WROX

3. Java Server Programming Black Book

4. J2EE Guide---- Hunt, Loftus SPD

5. Java Server Programming, J2EE edition. (VOL I and VOL II); WROX publishers.

IT 601 Advanced Database Management L3 T0 P0

C3


1

Database Security Introduction; Discretionary Access Control; Mandatory Access Control; Statistical Databases; Data Encryption.

8

2 Optimization: Introduction; Query Processing; Expression Transformation; Databases Statistics; Divide and conquer strategy.

7

3

Type Inheritance : Introduction; Type Hierarchies; Polymorphism and Substitutability; Variables and Assignments; Specialization by Constraint.

7

Distributed Databases: Introduction; the twelve objectives; Problems of distributed systems; client/ server 8

4 systems; DBMS independence.

5

Decision Support: Introduction; Aspects of Decision Support; Database Design for Decision Support; Data preparation.Data Warehouses and Data mart: Online Analytical processing; Data Mining.

Logic Based Databases :Introduction; Propositional Calculus; Predicate Calculus; A Proof Theoretic View of Databases; Deductive database systems; recursive query processing

7

Total 37 Text Book:

C.J. Date, An introduction to Database Systems, 7th Ed. Pearson Education, New Delhi, 2004.

Reference Texts:

1. H. Korth et al. Database Management System concepts, 3rd

Ed. TMH, New Delhi 2002

2. B.Desai, Database Management Systems Galgotia Publications, New Delhi, 1998

IT 603A Multiobjective optimization in computer network L3 T0 P0 C3 Units Course Contents Hours

1

Single-Objective versus Multi-Objective Optimization, Traditional Methods, Weighted Sum,

Distance to a Referent Objective Method, Weighted Metrics, The Benson Method ,Metaheuristics,

Convergence Toward Optimal ,Optimal Solutions Not Withstanding Convexity of the Problem,

Avoiding Local OptimaL, Polynomial Complexity of Metaheuristics, Evolutionary Algorithms,

Components of a General Evolutionary Algorithm,

8

2 General Structure of an Evolutionary Algorithm , Ant Colony, General Structure of an Ant Colony

Algorithm , Memetic Algorithm , Local Searches, General Structure of a Memetic Algorithm, Tabu

Search, General Structure of a Tabu Search , Simulated Annealing, General Structure of Simulated

Annealing, Multi-Objective Solution Applying Metaheuristics, Procedure to Assign Fitness to

Individuals, Reducing the Nondominated Set Using Clustering,

7

3

Computer Network Modeling, Classification of Computer Networks Based on Type of Transmission,

Unicast Transmissions, Multicast Transmissions , Broadcast Transmissions , Computer Network

Modeling, Introduction to Graph Theory, Computer Network Modeling in Unicast Transmission,

Computer Networks Modeling in Multicast Transmission

7

4

Routing Optimization in Computer Networks, Unicast Transmission, Multicast Transmission,

Bandwidth Consumption, Unicast Transmission, Multicast Transmission, Packet Loss Rate,

Blocking Probability, Unicast Transmission, Multicast Transmission, Maximum Link Utilization,

Unicast Transmission, Multicast Transmission, Other Multicast Functions, Hop Count Average ,

Maximal Hop Count, Maximal Hop Count Variation, Average Delay, Maximal Delay, Maximal

Delay Variation ,Average Cost, Maximal Cost, Constraints, Unicast Transmission, Multicast

Transmission, Functions and Constraints, Unicast Transmissions, Multicast Transmissions , Single-

Objective Optimization Modeling and Solution, Unicast Transmission Using Hop Count and Delay,

-Constraint, Weighted Metrics, Benson Method

8

5

-Constraint. Weighted

Metrics, Benson Method, Unicast Transmission Using Hop Count, Delay, and Bandwidth

Consumption, Multicast Transmission Using Hop Count, Delay, and Bandwidth Consumption,

Unicast Transmission Using Hop Count, Delay, Bandwidth Consumption, and Maximum Link

Utilization ,Multicast Transmission Using Hop Count, Delay, Bandwidth Consumption, and

Maximum Link Utilization , Multi-Objective Optimization Modeling , Unicast Transmission,

Multicast Transmission, Unicast for the Hop Count and Delay Functions , Multicast for the Hop

Count and Delay Functions , Unicast Adding the Bandwidth Consumption Function, Multicast

Adding the Bandwidth Consumption Function, Unicast Adding the Maximum Link Utilization

Function, Multicast Adding the Maximum Link Utilization Function

7

Total 37

Reference Books:

1. Multi-Objective Optimization in Computer Networks Using Metaheuristics, YezidDonoso Ramon Fabregat, Auerbach

PublicationsTaylor & Francis Group

2. Journals on internet.

IT 603 B Cognitive Radio Technology L3 T0 P0 C3


1

The Vision of Cognitive Radio, The Hardware Architecture of an SDR, Computational Processing Resources in an SDR , The Software Architecture of an SDR , ava Reflection in a Cognitive Radio, Smart Antennas in a Cognitive Radio, Managing Unlicensed Spectrum, Noise Aggregation ,Aggregating Spectrum Demand and Useof Subleasing Methods

8

2 Communications Policy and SpectrumManagement: New Opportunities in Spectrum Access,

Current Spectrum Access Techniques, Opportunistic Spectrum Access, Dynamic Frequency

Selection, Policy Challenges for Cognitive Radios, Cognitive Radio Impact on Communications

Policy,Telecommunications Policy and Technology Impact on Regulation, Introduction of Dynamic

Policies, Introduction of Policy-Enabled Devices

7

3

The Software Defined Radio as a Platformfor Cognitive Radio: Multicore Systems and System-on-Chip, Software Architecture, Design Philosophies and Patterns, SDR Development and Design, GNURadio, Software Communications Architecture

7

4

Spectrum Awareness:Spectral Footprint Minimization, Spectrum Sensing, Potential Interference

Analysis, Link Rendezvous, Distributed Sensing and Operation, Channel Awareness and Multiple

Signals in Space , Spectrally Aware Networking, Overlay and Underlay Techniques, Adaptive

Spectrum Implications for Cognitive

8

5

Cognitive Policy Engines:The Promise of Policy Management for Radios, Defense Advanced

Research Projects Agency ,Policy Engine Architectures for Radio, Integration of Policy Engines

into Cognitive Radio, Software Communications Architecture Integration, Integration of the Radio

into a Network Policy, The Future of Cognitive Policy Management , Commercial Opportunities for

Spectrum, Obstacles to Adoption of Policy Management

7


1. Cognitive radio technology by Bruce A. Fette, Elsevier

2. Journals on Internet.

IT 603 C Genetics Algorithm L3 T0 P0 C3


1

Introduction to Optimization Root Finding versus Optimization, Categories of Optimization,

Minimum-Seeking Algorithms, Exhaustive Search, Analytical Optimization , Nelder-Mead

Downhill Simplex Method , Optimization Based on Line Minimization, Natural Optimization

Methods, Biological Optimization,The Genetic Algorithm

8

2 The Binary Genetic Algorithm :Genetic Algorithms: Natural Selection on a Computer ,

Components of a Binary Genetic Algorithm , Selecting the Variables and the Cost, Variable Encoding and Decoding.

7

3

The Continuous Genetic Algorithm : Components of a Continuous Genetic Algorithm , The Example Variables and Cost Function ,

7

4

Multiple Objective Optimization , Sum of Weighted Cost Functions, Pareto Optimization , HybridGA, Alternative Crossovers for Binary GAs ,Continuous versus Binary GA Receptor Modeling ,Optimizing Artificial Neural Nets with Gas

8

5

Natural Optimization Algorithms , Simulated Annealing , Particle Swarm Optimization (PSO) , Ant Colony Optimization (ACO), Genetic Programming (GP), Cultural Algorithms, Evolutionary Strategies

7


1. PRACTICAL GENETIC ALGORITHMS, Randy L. Haupt Sue Ellen Haupt, JOHN WILEY & SONS, INC., PUBLICATION

2. Lattest Journals on Internet

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