Theoretical computer science uses models and analysis to study computers and computation. It thus encompasses the many areas of computer science sufficiently well developed to have …

This module covers how to analyze performance of algorithms, models of computation, basic data structures, algorithm design techniques, and common sorting algorithms.

This course is about the design and analysis of algorithms — how to design correct, eficient algorithms, and how to think clearly about analyzing correctness and running time.

Typically, a model of computation includes four components: an architectural component, described as an interconnection of modules of various functionalities; a specification …

Students will learn about models of computation, algorithm design and analysis, and performance engineering of algorithm implementations. We will study the design and implementation of …

Algorithm is defined as a step by step procedure to perform a specific task within finite number of steps. It can be defined as a sequence of definite and effective instructions, while terminates …

Algorithms by Dasgupta, Papadimitriou & Vazirani. Available online for free! Introduction to Algorithms: Cormen, Leiserson, Rivest, Stein. Computers and Intractability: Garey and …

This tutorial introduces the fundamental concepts of Designing Strategies, Complexity analysis of Algorithms, followed by problems on Graph Theory and Sorting methods. This tutorial also …

It is therefore important to introduce some formal aspects of algorithm design and analysis course into the school curriculum and sensitize students about this subject like maths and science.

Today, the mathematical analysis of algorithms occupies a central position in computer science; reasoning about algorithms independently of the speci c devices on which they run can yield in …