Class Number: 2293
Description: Hours: Three hours lecture per week
Selected advanced topics in Computer Science.
| Days | Time | Date Range | Location | Instructor |
|---|---|---|---|---|
| W | 06:00 PM - 09:00 PM | 08/23/2025 - 12/13/2025 | Sierra Hall 1242 | Ronald Rieger |
Status: Open
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Start Date: 08/23/2025
End Date: 12/13/2025
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 20
Available Seats: 4
Wait List Capacity: 10
Wait List Total: 0
Enrollment Information
- Graduate Division
- In-Person
- Repeatable.
Notes
- Course Description This course provides a graduate-level introduction to Operations Research (OR) with a strong computational and algorithmic focus. Students will explore classic and modern optimization techniques, including linear programming, integer programming, dynamic programming, and a suite of metaheuristic methods like simulated annealing and tabu search. The course emphasizes real-world applications, modeling, and hands-on implementation using modern computational tools. Learning Outcomes Students will: - Understand the core concepts and terminology of operations research. - Model optimization problems from real-life scenarios. - Solve problems using exact and heuristic algorithms. - Evaluate solution quality and algorithmic performance. - Use Python and modern OR libraries to implement solutions. - Analyze ethical and practical considerations in deploying OR systems.