RGPV M.Tech Computer Science 3rd Semester (Grading System) Syllabus

                             MCSE 301 (A) – Data Warehousing & Mining

Introduction : Data Mining: Definitions, KDD v/s Data Mining, DBMS v/s Data Mining , DM
techniques, Mining problems, Issues and Challenges in DM, DM Application areas.
Association Rules & Clustering Techniques: Introduction, Various association
algorithms like A Priori, Partition, Pincer search etc., Generalized association rules.
Clustering paradigms; Partitioning algorithms like K-Medioid, CLARA, CLARANS;
Hierarchical clustering, DBSCAN, BIRCH, CURE; categorical clustering algorithms, STIRR,
ROCK, CACTUS.

Other DM techniques & Web Mining: Application of Neural Network, AI, Fuzzy logic
and Genetic algorithm, Decision tree in DM. Web Mining, Web content mining, Web
structure Mining, Web Usage Mining.
Temporal and spatial DM: Temporal association rules, Sequence Mining, GSP,
SPADE, SPIRIT, and WUM algorithms, Episode Discovery, Event prediction, Time series
analysis.

Spatial Mining, Spatial Mining tasks, Spatial clustering, Spatial Trends.
Data Mining of Image and Video : A case study. Image and Video representation
techniques, feature extraction, motion analysis, content based image and video retrieval,
clustering and association paradigm, knowledge discovery.
 
Reference Books :
1. Data Mining Techniques ; Arun K.Pujari ; University Press.
2. Data Mining; Adriaans & Zantinge; Pearson education.
3. Mastering Data Mining; Berry Linoff; Wiley.
4. Data Mining; Dunham; Pearson education.
5. Text Mining Applications, Konchandy, Cengage


                                    MCSE 302 (A) – Network Security


Convention Encryption : Conventional Encryption Model , Steganography , Classical
Encryption Techniques, Simplified DES , Block Cipher Principles , The Data Encryption
Standard, The Strength of DES , Differential and Linear Cryptanalysis, Block Cipher Design
Principles, Block Cipher Modes of operation, Conventional Encryption algorithms

Public Key Encryption And Hash Functions
Public Key Cryptography , Principles of Public Key Cryptosystems , The RSA Algorithm ,
Key Management , Diffie Hellman Key Exchange , Elliptic Curve Cryptography

Message Authentication and Hash Functions
Authentication Requirements, Authentication Functions, Message Authentication Codes ,
Hash Functions , Security of Hash Functions

Hash And Mac Algorithms
MD5 Message Digest Algorithm , Secure Hash Algorithm (SHA-I) , RIPEMD , HMAC

Digital Signatures and Authentication Protocols
Digital Signatures , Authentication Protocols -Digital Signature Standard
Authentication Applications , IP Security , Web Security
Intruders, Viruses and Worms
Intruders , Viruses and Related Threats
Firewalls
Firewall Design Principles , Trusted Systems

Reference Books :
1. William Stallings, “ Cryptography and Network Security”, Second edition, Prentice Hall,
1999.
2. Atul Kahate, “ Cryptography and Network Security,” TMH
3. William Stallings,"Cryptography and Network Security",Third Edition, Pearson Ed
4. Introduction to network security, Krawetz, Cengage


                                MCSE- 302 (B) Simulation and Modeling


Introduction to modeling and simulation: Modeling and simulation methodology, system
modeling , concept of simulation, continuous and discrete time simulation.

Basic concept of probability and random variables continuous and discrete random
variables, distribution of random variables: discrete and continuous, Compartmental
models: linear, nonlinear and stochastic models.

Introduction to Queuing Theory: Characteristics of queuing system, Poisson's formula, birthdeath
system, equilibrium of queuing system, analysis of M/M/1 queues. Application of
queuing theory in computer system like operating systems, computer networks etc.

System Dynamics modeling: Identification of problem situation , preparation of causal loop
diagrams and flow diagrams, equation writing, level and rate relationship. Simulation of
system dynamics models.

Verification and validation: Design of simulation experiments, validation of experimental
models, testing and analysis. Simulation languages comparison and selection, study of
Simulation sw -SIMULA, DYNAMO, STELLA, POWERSIM.

Reference Books :
1. Gorden G., System simulation, Printice Hall.
2. Payer T., Introduction to system simulation, McGraw Hill.
3. Seila, Applied Simulation Modeling, Cengage
4. Spriet, Computer Aided Modeling and Simulation, W.I.A.
5. Sushil, System Dynamics, Wiley Eastern Ltd. 23
6. Shannon R.E., System simulation, Prentice Hall