Course ID:
Course Code & Number
BA 479
Course Title
Decision Analysis
Level
BS
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 6 ECTS Credits
Year of Study:
Senior
Semester:
Fall
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
Decision elements. Quantitative decision making. Quantitative decision support systems and tools. Decision trees. Monte Carlo simulation. Probabilistic decision analysis.
Course Objectives
The main aim of this course is to introduce decision analysis and its applications to solve problems in production and service systems. Decision support tools and their importance will be discussed and many cases will be analyzed.
Software Usage
Students will use statistical software packages such as MINITAB and SPSS.
Course Learning Outcomes
Upon succesful completion of this course, a student will be able to
1. Discover the decision analysis, and its role in production and service systems
2. Identify the decision making process, multi-criteria decision making and importance of decision support tools
3. Develop the ability to use to define, model, formulate and solve real life decision analysis applications
4. Discuss the role of information systems for competitive advantage
5. Assess the importance of statistical modeling for 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. Strategic Decision Making: Multi-objective Decision Analysis with Spreadsheets, C.W. Kirkwood, Duxbury, 1996.
Required Reading
1. Decision Analysis for Management Judgment, P. Goodwill and G. Wright, 4th edition, John Wiley and Sons, 2010.
Grading
Learning Activities and Teaching Methods Others:
Course Coordinator:
Student Workload:
| Workload | Hrs |
|---|---|
| Case Study Analysis | 40 |
Course & Program Learning Outcome Matching: