SRI VENKATESWARA UNIVERSITY: TIRUPATI – 517 502

2-Year M.Tech (CSE), I Semester

Choice Based Credit System (CBCS)

(With effect from the academic year 2008-09)

Scheme of Instruction and Examinations

 

Course No.

Course Title

Course

Type

Instruction hours per week

No. of Credits*

L

P

Theory

Practical

MCS0811

Experimental Methods in Computer Science

 

C

3

2

3

1

MCS0812

Advanced Topics in Database

Management Systems

 

C

4

2

4

1

MCS0813

Artificial Neural Networks

C

3

2

3

1

MCS0814

Seminar - I

C

---

2

---

1

MCS0815

Comprehensive Viva - I

C

---

---

---

2

 

TOTAL

 

10

8

10

6

 

L: Lectures

P: Practical

C: Core Course

E: Elective Course

 

* Electives will be offered for a minimum of 12 credits (15 Instruction Hours (Approx) ), in addition to the above courses.

 

 

NOTE:   For each Course:

                        Theory Component:

                                    Sessional Marks:                                               40

                                    End Semester Examination Marks:                     60

                        Practical Component:

                                    Sessional Marks:                                               40

                                    End Semester Examination Marks:                     60

            Seminar

                                    Sessional Marks:                                             100

                                    End Semester Examination Marks:                    NIL

            Comprehensive Viva

                                    Sessional Marks:                                             100

                                    End Semester Examination Marks:                    NIL

                                                                       

            Duration of End Semester Examination:             3 Hours

 

 


 

 

MCS0811                                                                                                                        TOP

SRI VENKATESWARA UNIVERSITY :: TIRUPATI

M.Tech (CSE) - I SEMESTER (CBCS)

(With effect from the academic year 2008 – 09)

EXPERIMENTAL METHODS IN COMPUTER SCIENCE

No. of Credits: 4

(Theory: 3, Practical: 1)                                                                                              Instruction Hours / Week: 5

Instruction Weeks / Semester:  15                                                                                    (Theory: 3, Practical: 2)

 

UNIT I

Review of probability distributions, Review of optimization techniques, Multi-objective optimization, Queuing models.

 

UNIT II

Simulation models - Continuous, Discrete, and Discrete-continuous; Random number generation, Random variates generation, Input modeling.

 

UNIT III

Verification and validation of simulation models, Output analysis for a single model, Comparison and evaluation of alternative system designs.

 

UNIT IV

Variance design techniques, Simulation software, Simulation of computer systems and computer networks.

 

UNIT V

Stochastic process, Markovian models, Design of experiments.

 

References:

1.      Rao S S, Engineering Optimization: Theory and Practice, Revised 3rd edition, New Age International Publishers, 2007.

2.      Banks J, Carson J S, Nelson B L, and Nicol D M, Discrete-event System Simulation, 4th Edition, Pearson Education, 2005.

3.      Law A M, Kelton W D, Simulation Modeling and Analysis, 3rd Edition, Tata McGraw-Hill, 2003.

4.      Technical papers published in reputed journals / transactions / conferences.

 

 


 

 

MCS0812                                                                                                                      TOP

SRI VENKATESWARA UNIVERSITY :: TIRUPATI

M.Tech (CSE) - I SEMESTER (CBCS)

(With effect from the academic year 2008 – 09)

ADVANCED TOPICS IN

DATABASE MANAGEMENT SYSTEMS

No. of Credits: 5

(Theory: 4, Practical: 1)                                                                                              Instruction Hours / Week: 6

Instruction Weeks / Semester:  15                                                                                    (Theory: 4, Practical: 2)

 

UNIT I

Physical Database Design and Tuning; Security and Authorization.

 

UNIT II

Parallel and Distributed Databases; Object-Database Systems.

 

UNIT III

Deductive Databases; Data Warehousing and Decision Support.

 

UNIT IV

Data Mining; Information Retrieval and XML Data.

 

UNIT V

Spatial Data Management; Further Reading.

 

Text Book:

      Ramakrishnan R, and Gehrke J, Database Management Systems, 3rd Edition, McGraw-Hill, 2003.

      (Chapters 20 to 29).

 

Reference Books:

1.      Silberschatz A, Korth H F, and Sudarshan S, Database System Concepts, 5th edition, McGraw-Hill, 2006.

2.      Date C J, An Introduction to Database Systems,8th edition, Pearson Education, 2003.

 

 


 

 

 

MCS0813                                                                                                                      TOP

SRI VENKATESWARA UNIVERSITY :: TIRUPATI

M.Tech (CSE) - I SEMESTER (CBCS)

(With effect from the academic year 2008 – 09)

ARTIFICIAL NEURAL NETWORKS

No. of Credits: 4

(Theory: 3, Practical: 1)                                                                                              Instruction Hours / Week: 5

Instruction Weeks / Semester:  15                                                                                    (Theory: 3, Practical: 2)

 

UNIT I

Introduction - Trends in computing, Pattern and data, Pattern recognition methods.

Basics of Artificial Neural Networks - Characteristics of neural networks, Historical development, Terminology, Models of neuron, Topology, Basic learning laws.

Activation and Synaptic Dynamics - Activation dynamics models, Synaptic dynamics models, Learning methods, Stability and Convergence, Recall in neural networks.

 

UNIT II

Functional Units of ANNs for Pattern Recognition Tasks - Pattern recognition problem, Basic types of ANNs, Various pattern recognition tasks performed by ANNs.

Feed-forward Neural Networks - Analysis of - Pattern associative networks, Pattern classification networks, Pattern mapping networks.

 

UNIT III

Feed-back Neural Networks - Linear auto associative FF networks, Pattern storage networks, Stochastic networks, and Simulated annealing; Boltzmann machine.

 

UNIT IV

Competitive Learning Neural Networks - Components of a competitive learning neural network, Analysis of feedback layer for different output functions, Analysis of pattern clustering networks, Analysis of feature mapping networks.

Architecture for Complex Pattern Recognition Tasks - Associative memory, Pattern mapping, Stability-Plasticity dilemma, Adaptive resonance theory, Temporal patterns, Pattern variability – Neocognitron.

 

UNIT V

Applications of ANNs -  Pattern classification – character recognition,  Associative memories – content addressable memory, Information retrieval;  Optimization – Linear programming problem, Traveling salesman problem, Smoothing images with discontinuities;  Vector quantization, Control applications, Applications in speech, image processing and decision making. 

 

Text Books:

1.      Yegnanarayana B, Artificial Neural Networks, PHI, 2004.

2.      Satish Kumar, Neural Networks: A Class Room Approach, Tata McGraw-Hill, 2004.

 

Reference Books:

  1. Haykin S, Neural Networks and Learning Machines, 3rd edition, Prentice Hall, 2008.
  2. Bishop C M, Neural Networks for Pattern Recognition, Oxford University Press, 1995.
  3. Hagan M T, Demuth H B, and Beale M, Neural Network Design, Thomson Learning, 1996.


 

 

MCS0814                                                                                                                      TOP

SRI VENKATESWARA UNIVERSITY :: TIRUPATI

M.Tech (CSE) - I SEMESTER (CBCS)

(With effect from the academic year 2008 – 09)

SEMINAR - I

No. of Credits: 1

Instruction Weeks / Semester:  15                                                                            Instruction Hours / Week: 2

 

          Each student must give at least two seminars, choosing topics from reputed research journals.

 

 

 

 

 


 

 

MCS0815                                                                                                                      TOP

SRI VENKATESWARA UNIVERSITY :: TIRUPATI

M.Tech (CSE) - I SEMESTER (CBCS)

(With effect from the academic year 2008 – 09)

COMPREHENSIVE VIVA - I

No. of Credits: 1

Instruction Weeks / Semester:  15                                                                            

 

            The Viva is conducted at the end of the semester. Its scope is at least all subjects studied in the current semester.