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For computer science-
Computer Science
Digital Logic:
Logic functions, Minimization, Design and synthesis of combinational and sequential circuitsNumber representation and computer arithmetic (fixed and floating point).Computer Organization and Architecture:
mode), Instruction pipelining, Cache and main memory, Secondary
storage.Programming and Data Structures:
Programming in C, C++, Java; Functions,
Recursion, Parameter passing, Abstract data types, Arrays, Stacks, Queues, Linked
Lists, Trees, Binary search trees, Binary heaps.Compilers, Linkers, Loaders, Assemblers, Compiler Design:Lexical analysis,
Parsing, Syntax directed translation, Runtime environments, Intermediate and target
code generation, Basics of code optimization.Operating System:
Databases: ER Model, Relational model (relational algebra, tuple calculus),Database design (integrity constraints, normal forms), writing Relational Algebra
queries, File structures (sequential files, indexing, B and B+ trees), Transactions and
concurrency control.Computer Networks:
Oriented Software Engineering:
UML
Mathematics-
Quantitative Aptitude:percentages, profit and loss, averages and ages, time and work, time and distance, trains, simple and compound interest, ratio and proportions,
partnerships, number systems, lcm and hcf, sequence, seriesMathematical Logic:Propositional Logic; First Order Logic.Probability:Conditional Probability; Mean, Median, Mode and Standard Deviation; Random Variables; Distributions; uniform, normal, exponential, Poisson, Binomial.Set Theory & Algebra:Sets; Relations; Functions;Permutations; Combinations; Counting; Summation; generating
functions; recurrence relations.
Pursue M.Sc. in Data Science from Manipal Online.
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