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COMPUTER ORGANISATION

6TH SEMESTER:
SECTION-A 

1. Computer Organisation : Evolution of Computers, Stored program concept and Von Neumann Architecture, Information representation and codes, Combinatorial Blocks : Gates, Multiplexers, Decoders, Encoders, Sequential Building blocks : Flip-Flops, Registers, Counters, Arithmetic algorithms : Addition and subtraction for signed magnitude and 2's complement numbers, integer multiplication using shift and add, Booth's algorithms, Integer and floating point representation.

SECTION-B 

 2. Architecture of a Simple Processor : An instruction set, Addressing Modes, Instruction formats, Instruction execution in terms of Microinstructions, Concept of interrupt and simple I/O organisation, I/O organization : Strobe-based and Handshake based communication, Vector and priority interrupts, DMA-based data transfer; CPU organisation with large registers, Stacks and handling of interrupts and subroutines. Concept of Bus, data movement among registers, data movement from/to memory.


SECTION-C 

3. Memory Organisation: RAM, Basic cell of static and dynamic RAM, Building large memories using chips, Associative memory, Cache memory organisation, Virtual memory organisation. Assembly Language Programming: Machine and assembly language, Pseudo operations, subroutines in assembly language, Assembly language programs:- To add/subtract two numbers, Program to input/output one character, Program to demonstrate the use of subroutines. Register Transfer Language and micro-operations; Language to represent conditional data transfer, Arithmetic and logical operations along with register transfer.

SECTION-D 

4. System Maintenance, Physical Inspection of a PC and internal cards, Diagnostics on a PC, Functional description of various modules and cards. PC Doctor, Norton, Semantic, Steps of Diagnostics. Viruses, Types of viruses. Detection, Protection and Cure of Viruses on a PC.




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LIST OF PROGRAMS

Practical Lab Quadratic   Bisection  False position  Newton raphson  Birgei vieta    Soln. of simultaneous linear equation   Gauss seidal method    Interpolation    Construct a diff. Table (forward /backward /divided)   Any one -  Newton Forward   Newton Backward   Newton Divided   Lagrange   Integration   Find integral value using - Simpsons ⅓  Simpsons ⅜  Statistics   Mean (AM) - any series - step deviation  Dispersion- md/sd  Correlation Coefficient  Regression lines