CMPS 2200

Introduction to Algorithms

Introduction to Algorithms

Instructor: Ramgopal Mettu

This course will survey the design and analysis of algorithms. We will study several basic algorithmic paradigms (e.g. divide-and-conquer, dynamic programming, the greedy approach and randomization), their application to core problems in graph theory and optimization, as well as analysis of time and space complexity. Our focus will be on understanding these paradigms and studying the algorithmic problems that can be solved using that particular paradigm with respect to particular application areas. We will cover the following topics in this course:

For each of these, we will consider a number of different application areas (e.g. divide-and-conquer algorithms for scientific computing, sorting, etc.). At the end of this course, students should be able to:


You must have completed CMPS 1500, CMPS 1600 prior to enrolling, and MATH 2170 is a co-requisite.

Meeting Time and Place

Lectures: TuTh 9:30-10:45p, Stanley Thomas 302

Problem Sessions (as needed): Th 11:00-12:15p, Stanley Thomas 302

Contact Information

Instructor: Ramgopal Mettu
Telephone: 504.865.5804
Office: Stanley Thomas 303E
Office Hours: TuTh 11-12p or by appointment

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