Optimization Methods in Management Science
Topics Covered
- Discrete optimization
- Shortest path problems
- Linear programming
- Quasi-Newton algorithms
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Course Overview
Detailed description of the course content, structure, and goals.
Learning Objectives
By the end of this course, students will be able to:
- Objective 1
- Objective 2
- Objective 3
Curriculum
Week 1-4: Foundation
- Topic 1
- Topic 2
Week 5-8: Advanced Concepts
- Topic 3
- Topic 4
Week 9-12: Applications
- Project work
- Presentations
Assessment
- Assignments: 40%
- Midterm: 25%
- Final Project: 25%
- Participation: 10%
Student Feedback
Summary of course evaluations and improvements made.