M Sc in Computer Science in Calcutta University

My B.C.A. Course is completed now I want to take admission in M.Sc. in Computer Science from college under Calcutta University so please give me details for admission? Also give me list of colleges of Calcutta University for M.Sc. Computer Science?

Hello sir, I want syllabus for M Sc in Computer Science in Calcutta University? Please provide me M Sc in Computer Science syllabus from Calcutta University?

[pawan]

The Calcutta University has a Computer science department. The Department was established in the year 1980.

The Department of Computer Science and Engineering, situated at Rajabazar Science College Campus, meant for post graduate studies is one of the largest and well established departments of Calcutta University.

M.Sc. in Computer & Information Science
Post-Graduate

Eligibility:

At least 55% marks in B.Sc. Hons. in Computer Science or its equiv. All the candidates, both C.U. and Non-C.U. (Both Category A & Category B) have to appear in the Entrance Test.

Here is PDF for M Sc in Computer Science syllabus from Calcutta University:

M Sc in Computer Science syllabus from Calcutta University:

CISM101: ADVANCED COMPUTER ARCHITECTURE

Introduction: Computer Architecture & Organization. Basic Parallel Processing Architecture, Taxonomy- SISD. MISD, SIMD, MIMD structures, Serial, Parallel & Concurrent Computation, CISC Vs RISC, Structure of Instruction of instruction sets and Desirable Attributes.

Pipelining: Basic Concepts of pipelining, Instruction Pipelining. Hazards, Reservation Tables, Collision, Latency, Dynamic pipeline, Vector processing & Vector processors.

Memory Systems: Cache Memory & Virtual Memory: Structure, Analysis & Design.

I/O Systems: Design Issues, Performances Measures.

Multiprocessor Architecture: Loosely Coupled & Tightly Coupled Systems, Concurrency & Synchronization, Scalability, Models of Consistency, Application of SIMD Structure.

Interconnection Network: Definition. Types of Interconnected Networks; Baselines, Shuffle- Exchange, Omega, Cuba, Comparison & Application.

Systolic Architecture: Mapping Algorithm to array structures, Systolic processors. Mapping design & Optimization, Wave Front Array processor.

Data Flow Architecture: Data Flow Graphs, Petri nets, Static & Dynamic DFA.

Programming Environment: Different Models, Languages, Compilers, dependency Analysis. Message Passing, Program mapping to Multiprocessors, Synchronization.

Case Study: Basic Features of Current Architectural Trends. DSP Processor, Dual core Technology