MATH 583 - Discrete Optimization

Institution:

University of Michigan-Dearborn

Subject:

Mathematics

Description:

This is an introductory course in discrete optimization at the graduate level for mathematics, science, engineering, and management majors. The goal of this course is to provide an overview of the problem settings in discrete optimization. In particular, the students will learn some of the fundamental combinatorial and heuristic optimization methods used in practice. The main emphasis of the course will be on modeling optimization problems mathematically and solveing them using standard optimization techniques. The course will also address the limitations and complexity of the solutions that are found. The important theoretical and practical aspects of discrete optimization will be introduced using standard software packages such as Lingo and Lindo.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.umd.umich.edu/

Phone Number:

(313) 593-5000

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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