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#1
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Computer Science PMS
any one want to opt computer science????
let us prepare togather.... |
The Following User Says Thank You to Just Win For This Useful Post: | ||
MohsinRavian (Sunday, March 18, 2012) |
#2
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Syllabus for the subject of computer science
PAPER- I 1. Introduction to ComputingTotal Marks: 100 SECTION-A Number Systems, Binary numbers, Boolean logic, History Computer system, basic machine organization, Von Neumann Architecture, Algorithm definition, design, and implementation, Programming paradigms and Languages, Graphical programming, Overview of Software Engineering and Information Technology, Operating system, Compiler, Computer networks and Internet, Computer graphics, Al, Social and legal issues. 2. Programming Solving Techniques Algorithms and problem solving, development of basic Algorithms, analyzing problem, designing solution, testing designed solution, fundamental programming constructs, translation of algorithms to programmes, data types, control structures, functions, arrays, records, files, testing programmes. |
#3
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Syllabus for Section B
SECTION-B 1. Computer Communications & Networks Analogue and digital Transmission, Noise, Media, Encoding, Asynchronous and Synchronous transmission, Protocol design issues, Network System architecture (OSI, TCP/IP), Error control, Flow Control, Data Link Protocols (HDLC,PPP). Local Area Networks and MAC Layer protocols (Ethernet, Token ring), Multiplexing, Switching and IP Networks, Internetworking, Routing, Bridging, Transport layer protocols TCP/IP, UDP. Network security issues, Programming exercises or projects involving implementation of protocols at different layers. 2. Digital Logic & Computer Architecture Logic design of Digital Systems, Fundamental and advanced concepts of Logic Designs, Boolean Algebra & functions, Designing and implementation of combinational and Sequential logic, minimization techniques, number representation and basic binary arithmetic Logic families and digital integrated circuits, use of CAD tools for logic designs. Topics of Computer Architecture. |
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Section C
SECTION-C 1. Operating SystemsHistory and Goals, Evolution of multi-user systems, Process and CPU management, Multithreading, Kernel and User Modes, Protection, Problems of cooperative processes, Synchronization, Deadlocks, Memory management and virtual memory, Relocation, External Fragmentation, Paging and Demand Paging, Secondary storage, Security and Protection, File systems, I/O systems, Introduction to distributed operating systems. Scheduling, dispatch and Introduction to concurrency. |
The Following User Says Thank You to Just Win For This Useful Post: | ||
MohsinRavian (Sunday, March 18, 2012) |
#5
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Paper ii
PAPER II 1. Theory of Automata and Formal Languages.SECTION-A Total Marks:100 Finite State Models: Language definitions preliminaries, Regular expressions/Regular languages, Finite automatas (FAs), Transition graphs (TGs),NF As, kleene's theorem, Transducers (automata with output), Pumping lemma and non regular language Grammars and PDA: Context free grammars, Derivations, derivation trees and ambiguity, Simplifying CFLs , Normal form grammars and parsing, Push-down Automata, Pumping lemma and non-context free languages, Decidability, Chomsky's hierarchy of grammars, Turing Machines Theory: Turing machines, Post machine, Variations on 1M, 1M encoding, Universal Turing Machine, Context sensitive Grammars, Defining Computers by TMs. 2 Compiler Theory & Design Compiler techniques and methodology. Organization of compilers. Lexical and syntax analysis. Parsing techniques. Object code generation and optimization, detection and recovery from errors. Comparison between compilers and interpreters. 3. Numerical Methods Mathematical Preliminaries, Solution of Equations in one variable, Interpolation and Polynomial Approximation, Numerical Differentiation and Integration, Initial Value Problems for Ordinary Differential Equations, Direct Methods for Solving Linear Systems, Iterative Techniques in Matrix Algebra, Solution of non-linear equations, Approximation Theory, Eigenvalues and Eigenvector computation. SECTION -B I. Data Base SystemsBasic database concepts, Entity Relationship modelling, Relational data model and algebra, Structured Query language, RDBMS; Database design, functional dependencies and normal forms, Transaction processing and optimization concepts, concurrency control and recovery techniques, Database recovery techniques, Database security and authorization. Small Group Project implementing a database. Physical database design: Storage and file structure, indexed files, hashed files, signature files, b-trees, files with dense index, files with variable length records, database efficiency and tuning Data Warehousing and Data Mining, Emerging Database Technologies and Applications. 2. Software Engineering Software Engineering, Process Models, Software verification and validation. Techniques are introduced to evaluate software correctness, efficiency, performance and reliability, integration of these techniques into a verification and validation plan. Technical reviews, software testing, programme verification, prototyping, and requirement tracing. Attitude of industry toward reliability and performance. SECTION -C 1. Artificial IntelligenceIntroduction to Common Lisp. AI classical systems: General Problem Solver, rules, simple search, means-ends analysis. ElIZA, pattern matching, rule based translators, OPS-5. Knowledge Representation: Natural language, rules, productions, predicate logic, semantic networks, frames, objects, scripts. Searching, Depth first search, breadth first search, best first search, hill climbing, min-max search. Symbolic Mathematics: student solving algebra problems, translating English equations, solving algebraic equations, simplification rules, rewrite rules, meta-rules, Macsyma, PRESS, ATLAS. Logic Programming: Resolution, unification, horn-clause logic, Prolog, Prolog programming. Sample case studies of shells and Knowledge Based Systems. A brief appreciation of state of the art computational techniques like neural networks, genetic algorithm, fuzzy sets. 2. Computer Graphics Graphics hardware, Fundamental algorithms, Applications of graphics. Interactive graphics programming -graph plotting, windows and clipping, and segmentation. Programming raster display systems, panning and zooming. Raster algorithms and software Scan-Converting lines, characters and circles. Region filling and clipping. Two and three dimensional imaging geometry and transformations. Curve and surface design, rendering, shading, colour and animation. |
The Following User Says Thank You to Just Win For This Useful Post: | ||
MohsinRavian (Sunday, March 18, 2012) |
#6
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No One opted Computer Science ???
I want to Start Prep... |
#7
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I haven't studied Sections A & C of paper II in my bachelor's degree.
How much time consuming it would be to cover these sections if I study at my own?
__________________
There is only one success ... to be able to spend your own life in your own way !! |
#8
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i opted computer science in PMS...
have any book of computer science that contains all the topics like other subjects?????
__________________
Success is never achieved by the size of brain.it is always achieved by the size of ur thoughts! |
#9
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Quote:
One have to cover each section from different books.
__________________
There is only one success ... to be able to spend your own life in your own way !! |
The Following User Says Thank You to MisbahMalik For This Useful Post: | ||
MohsinRavian (Wednesday, March 21, 2012) |
#10
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Any one who want to prepare by discussion i m available on skype .....
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