Course ID:
Course Code & Number
BA 478
Course Title
Operations Research
Level
BS
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 6 ECTS Credits
Year of Study:
Senior
Semester:
Spring
Type of Course:
Elective
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: BA 202
Co-requisites: NONE
Catalog Description
Principles of mathematical programming. Various real-life optimization problems. Linear programming. Duality. Sensitivity analysis. Basics of integer programming and network models.
Course Objectives
The main objective of this course is to learn principles on operations research and applications on management science problems. This course discusses principles of linear and integer programming and apply software usage to model and solve real life problems.
Software Usage
Students will use linear programming software such as Lindo, Gams, Cplex to work on their weekly assignments about 2 hours a week.
Course Learning Outcomes
Upon succesful completion of this course, a student will be able to
1. Discover operations research and its applications
2. Recognize the importance of systematic thinking and mathematical programming
3. Develop the ability to use mathematical models and tools to formulate and solve real life problems
4. Assess the importance of information systems and software usage for competitive advantage
5. Discover the use of optimization to solve real life problems
Learning Activities and Teaching Methods:
Telling/Explaining
Discussion/Debate
Questioning
Reading
Demonstrating
Problem Solving
Inquiry
Collaborating
Think-Pair-Share
Predict-Observe-Explain
Case Study/Scenarion Analysis
Simulation & Games
Assessment Methods and Criteria:
Test / Exam
Quiz
Case Studies / Homework
Assessment Methods and Criteria Others:
Design Content
Recommended Reading
1. Operations Research: An Introduction Applications and Algorithms, H. Taha, 9th edition, Prentice Hall, 2010
Required Reading
1. Operations Research Applications and Algorithms, W.L. Winston W, 4th edition, Thomson Learning, 2004.
Grading
Learning Activities and Teaching Methods Others:
Course Coordinator:
Student Workload:
| Workload | Hrs |
|---|---|
| Case Study Analysis | 45 |
Course & Program Learning Outcome Matching: