Course Code & Number
IE 331
Course Title
Mathematical Modeling & Optimization II
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 6 ECTS Credits
Type of Course:
Compulsory
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: IE 232
Co-requisites: NONE
Catalog Description
Integer programming. Cutting plane algorithms and branch and bound techniques. Nonlinear programming. Network models.
Course Objectives
The course aims to teach modeling integer and nonlinear programs including fundamental solution techniques. The goal is to teach the branch and bound algorithm and the cutting plane algorithm for solving integer programming problems. The course also aims to teach network models and the network simplex method and to provide an understanding of dynamic programming approach.
Course Learning Outcomes
Upon succesful completion of this course, a student will be able to
1. Construct mathematical models for integer and nonlinear programming models. [e] [B3]
2. Solve integer models and nonlinear models by using programming techniques and programming software.[e, k] [B3]
3. Use the branch and bound algorithm and the cutting plane algorithm for solving integer programming problems. [e, k] [B3]
4. Solve network problems. [e, k] [B3]
5. Use dynamic programming approach to model and solve optimization problems. [e, k] [B3]
6. Analyze model inputs and outputs. [b2,] [B4]
Learning Activities and Teaching Methods:
Telling/Explaining
Discussion/Debate
Questioning
Problem Solving
Inquiry
Collaborating
Case Study/Scenarion Analysis
Hands-on Activities
Assessment Methods and Criteria:
Test / Exam
Quiz
Case Studies / Homework
Assessment Methods and Criteria Others:
Recommended Reading
1. Hillier F.S. and Lieberman G.J. (2010), Introduction to Operations Research (9th edition), McGraw-Hill
2. Taha, H. A. (2007), Operations Research (8th edition), Prentice Hall
Required Reading
Winston W. L. (2004), Operations Research (4th edition), Duxbury
Learning Activities and Teaching Methods Others:
Student Workload:
| Workload |
Hrs |
| Hands-on Work |
49 |
| Exams/Quizzes |
40 |
| Case Study Analysis |
20 |
Course & Program Learning Outcome Matching:
