INDENG160
Download as PDF
INDENG 160 - Nonlinear and Discrete Optimization
Subject
INDENG
Course Number
160
Course Level
Undergraduate
Course Title
Nonlinear and Discrete Optimization
Course Description
This course introduces unconstrained and constrained optimization with continuous and discrete domains. Convex sets and convex functions; local optimality; KKT conditions; Lagrangian duality; steepest descent and Newton's method. Modeling with integer variables; branch-and-bound method; cutting planes. Models on production/inventory planning, logistics, portfolio optimization, factor modeling, classification with support vector machines.
Minimum Units
3
Maximum Units
3
Grading Basis
Default Letter Grade; P/NP Option
Method of Assessment
Written Exam
Instructors
Atamturk
Prerequisites
MATH 53 and MATH 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, Discussion
Term
Fall and Spring
Weeks
15 weeks
Weeks
15
Lecture Hours
2
Lecture Hours Min
2
Lecture Hours Max
2
Discussion Hours
1
Discussion Hours Min
1
Discussion Hours Max
1
Outside Work Hours
6
Outside Work Hours Min
6
Outside Work Hours Max
6