MATH170

Download as PDF

MATH 170 - Mathematical Methods for Optimization

Mathematics Undergraduate CLS - College of Letters and Science

Subject

MATH

Course Number

170

Department

Mathematics

Course Level

Undergraduate

Course Title

Mathematical Methods for Optimization

Course Description

Linear programming and a selection of topics from among the following: matrix games, integer programming, semidefinite programming, nonlinear programming, convex analysis and geometry, polyhedral geometry, the calculus of variations, and control theory.

Minimum Units

4

Maximum Units

4

Grading Basis

Default Letter Grade; P/NP Option

Method of Assessment

Written Exam

Instructors

Staff

Prerequisites

53 and 54.

Repeat Rules

Course is not repeatable for credit.

Credit Restriction Courses. Students will receive no credit for this course if following the course(s) have already been completed.

-

Formats

Lecture

Term

Fall and Spring

Weeks

15 weeks

Weeks

15

Lecture Hours

3

Lecture Hours Min

3

Lecture Hours Max

3

Outside Work Hours

9

Outside Work Hours Min

9

Outside Work Hours Max

9