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; Mean, Median, Mode and Standard Deviation; ; Distributions; uniform, normal, exponential, Poisson, Binomial.
Sets; Relations; Functions; ; Partial Orders; ; Boolean
Permutations; Combinations; counting, recurrence relations, generating functions
This section contains tips useful for GATE preparation. Please watch these videos before starting the course.
Algebra of matrices, determinants, systems of linear equations, Eigen values and Eigen.
Links to Useful notes
Lexical analysis, Parsing, Syntax directed translation, Runtime environments, Intermediate and target code generation, Basics of code optimisation.
Analysis, Asymptotic notation, Notions of space and time complexity, Worst and average case analysis; Design: Greedy approach, Dynamic programming, Divide-and-conquer; Tree and graph traversals, Connected components, Spanning trees, Shortest paths; Hashing, Sorting, Searching. Asymptotic analysis (best, worst, average cases) of time and space, upper and lower bounds, Basic concepts of complexity classes P, NP, NP-hard, NP-complete.
Regular languages and finite automata, Context free languages and Push-down automata, Recursively enumerable sets and Turing machines, Undecidability.
Logic functions, Minimization, Design and synthesis of combinational and sequential circuits; Number representation and computer arithmetic (fixed and floating point).
Machine instructions and, ALU and data-path, CPU control design, Memory interface, I/O interface (Interrupt and DMA mode), Instruction pipelining, Cache and main memory, Secondary storage.
ER-model, Relational model (relational algebra, tuple calculus), Database design (integrity constraints, normal forms), Query languages (SQL), File structures (sequential files, B and B+ trees), Transactions and concurrency control
Programming in C; Functions, Recursion, Abstract data types, Arrays, Stacks, Queues, Linked Lists, Trees, Binary search trees, Binary heaps.
Problems on IP addressing,Sliding window protocol,LAN technologies