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Department: Computer Science and Engineering Subject Code/Name: CS – Theory of Computation Document Type: Question Bank Website: niceindia. Theory of Computation Anna university Question paper Month/year Subject Download link May / June QP: TOC. Anna University B E /B Tech Examination May/June Department of CSE Fifth Semester CS Theory of Computation Question paper.

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Structures include queues, binary search trees, balanced search trees, hash tables, binary heaps, graphs and mergeable priority queues.

CR: Survey of theory requirements in other Canadian Honours programs – Soma-notes

A variety of data structures for implementing these abstract data types, such as balanced search trees, hashing, heaps, and disjoint forests. This page was last edited on 25 Januaryat Topics include divide and conquer algorithms, recurrences, greedy algorithms, dynamic programming, graph search and backtrack, problems without algorithms, NP-completeness and its implications.

Random access machine model. This course includes recursion, abstract data types and selected topics exploring some of the breadth of computer science. One or more advanced topics will be chosen from the following areas: Topics include linear lists, stacks, queues, linked structures, trees, binary trees; sorting techniques, including heap sort, quick sort, merge sort, shell sort; searching techniques including binary search, binary search trees, red-black trees, hashing.

Students will be expected to show good design principles and adequate skills at reasoning about the correctness and complexity of algorithms. What is deductive proof? Topics covered include graph theory, trees, inclusion-exclusion, generating functions, recurrence relations, and optimization and matching.

CS Theory of Computation April/May

Implementation aspects are addressed during unsupervised lab work. A regular expression is a string that describes the whole set of strings according to certain syntax rules.


CS Algorithm Analysis A formal algorithmic language. These expressions are used by many text editors and utilities to search bodies of text for certain patterns etc. Properties of the integers.

Text editors and lexical analyzers are designed as finite state systems. What are the uses of Context free grammars? VICTORIA MATH Logic and Foundations Logic and quantifiers, basic set theory, mathematical induction and recursive definitions, divide and conquer recurrence relations, properties of integers, counting, functions and relations, countable and uncountable sets, asymptotic notation.

CPSC Intermediate Algorithm Design and Analysis Systematic study of basic concepts and techniques in the design and analysis of algorithms, illustrated from various problem areas. What is a regular expression? Undecidability of problems in computation, including the halting problem. Topics include sets, counting permutations and combinationsmathematical induction, relations and functions, partial order relations, equivalence relations, groups and applications to error-correcting codes.

CS Data Structures Covers mathematical and experimental techniques for algorithm analysis and their application to the major techniques for representing and manipulating data structures in main memory. Introduction to lower bounds.

Understanding, using and developing precise expressions of mathematical ideas, including definitions and theorems. That is a G string is in L G if: It introduces the design and analysis of algorithms, the management of information, and the programming mechanisms and methodologies required in implementations.

Privacy policy About Soma-notes Disclaimers. Computer Science Introduction to Computability An introduction to abstract models of sequential computation, including finite automata, regular or, context-free grammars, and Turing machines. CPSC Basic Algorithms and Data Structures Design and analysis of basic algorithms and data structures; algorithm analysis methods, searching and sorting algorithms, basic data structures, graphs and concurrency.


Use and development of precise formulations of mathematical ideas. Write examples with diagrams. Introduction to combinatorial analysis: CS Logic and Computation Propositional and predicate logic.

CMPT Design and Analysis of Computing Algorithms Models of computation, methods of algorithm design; complexity of algorithms; algorithms on graphs, NP-completeness, approximation algorithms, selected topics Choice: Optional topics include set theory and induction using the formal logical language of the first part computahion the course. Formal proof systems for propositional and predicate logic. cz1303-theory

CS1303 Theory of Computation Syllabus

Efficient implementation of lists, sets, dictionaries, priority queues, trees, graphs, and networks using arrays, hash tables, heaps, and hierarchical linked structures. Worst-case, average-case, and best-case analysis.

Theory of Computation Finite Automata, regular expressions and languages; properties of regular languages; context-free grammars and languages; pushdown automata; properties of context-free languages. Context Free Grammar And Languages: What are the applications of Context free languages?

CS 303 | CS 1303 | CS2303 Theory of Computation

B-trees, heaps and graphs. The basics of counting: What are the applications of automata theory? Recursive definition of functions and methods for solving recurrence relations. A selection of topics chosen from sorting, memory management, graphs and graph algorithms. Unprovability of formulae in certain systems.

CS Algorithms The study of efficient algorithms and effective algorithm design techniques.