MATH170
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Mathematical Methods for Optimization
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
4
Maximum
4
Grading Basis
Default Letter Grade; P/NP Option
Method of Assessment
Written Exam
Instructors
Staff
American Cultures Requirement
No
Reading and Composition Requirement
None of the Reading and Composition Requirement
Requirements
Prerequisite
Complete ALL of the following Courses:
Repeat Rules
Course is not repeatable for credit.
Credit Restriction Courses. Students will receive no credit for this course if the following the course(s) have already been completed.
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Formats
Lecture
Term
Fall and Spring
Duration (in weeks)
15
Minimum Hours
3
Maximum Hours
3
Outside Work Hours Min
9
Maximum Hours
9