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CS  Computer Science and Information Technology



Section1: Engineering Mathematics   
Discrete Mathematics: Propositional and first order logic. Sets, relations, functions, partial
orders and lattices. Groups. Graphs: connectivity, matching, coloring. Combinatorics:
counting, recurrence relations, generating functions.
Linear Algebra: Matrices, determinants, system of linear equations, eigenvalues  and
eigenvectors, LU decomposition.
Calculus: Limits, continuity and differentiability. Maxima and minima. Mean value
theorem. Integration.
Probability: Random variables. Uniform, normal, exponential, poisson and binomial
distributions. Mean, median, mode and standard deviation. Conditional probability and
Bayes theorem.



Section 2: Digital Logic
Boolean  algebra. Combinational and sequential circuits. Minimization. Number
representations and computer arithmetic (fixed and floating point).



Section 3: Computer Organization and Architecture
Machine instructions and addressing modes. ALU, data‐path and control unit. Instruction
pipelining. Memory hierarchy: cache, main memory and secondary storage; I/O
interface (interrupt and DMA mode).



Section 4: Programming and Data Structures
Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search
trees, binary heaps, graphs.  



Section 5: Algorithms
Searching, sorting, hashing. Asymptotic worst case time and space complexity.
Algorithm design techniques: greedy, dynamic programming and divide‐and‐conquer.
Graph search, minimum spanning trees, shortest paths.



Section 6: Theory of Computation
Regular expressions and finite automata. Context-free grammars and push-down
automata. Regular and contex-free languages, pumping lemma. Turing machines and
undecidability.  



Section 7: Compiler Design
Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate
code generation.



Section 8: Operating System
Processes, threads, inter‐process communication, concurrency and synchronization.
Deadlock. CPU scheduling. Memory management and virtual memory. File systems.


Section 9: Databases
ER‐model. Relational model: relational algebra, tuple calculus, SQL. Integrity constraints,
normal forms. File organization, indexing (e.g., B and B+ trees). Transactions and
concurrency control.



Section 10: Computer Networks
Concept of layering. LAN technologies (Ethernet). Flow and error control techniques,
switching. IPv4/IPv6, routers and routing algorithms (distance vector, link state). TCP/UDP
and sockets, congestion control. Application layer protocols (DNS, SMTP, POP, FTP, HTTP).
Basics of Wi-Fi. Network security: authentication, basics of public key and private key
cryptography, digital signatures and certificates, firewalls.

posted Dec 27, 2016 in Preparation Advice by Veteran (30,201 points) 107 371 691
edited Dec 27, 2016 by | 1,794 views

6 Comments

Thank you sir.
Sir where are habib's sir notes?

Plz give the link.

Sir in network I was solving Tannenbaum. It is okay? Sir especially in cryptography it's given too much and it's hard to memorize all that. Facing difficulties
I also want Habib sirs notes. He is great
Thank you..I have posted some of them in gate computer science group of fb
send the link please
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