COURSE DESCRIPTION AND APPLICATION INFORMATION

Course Name Code Semester T+A+L (hour/week) Type (C / O) Local Credit ECTS
Quantative Decision Making BUS 325 Fall 03+00+00 Elective 3 5
Academic Unit: Business Administration
Mode of Delivery: Face to face
Prerequisites: No Prerequisite
Language of Instruction: English
Level of Course Unit: Undergraduate
Course Coordinator: - -
Course Objectives: Student will become familiar with terminology, basic tools and concepts of management science and statistical decision making and become proficient in techniques of analyzing real-world operational situations. They will develop an understanding of how to interpret the results of the quantitative and computational analysis of a decision problem, utilizing statistical, optimization, and simulation approaches. Also student will be able to construct and analyze decision trees for business decision making
Course Contents: This course involves teaching the definitions and the solution methods of various mathematical programming problem types and quantitative decision making techniques, such as linear and nonlinear programming, goal programming, transportation, project management, and quantitative decision making problems.
Learning Outcomes of the Course Unit (LO):
  • 1- Be able to analyze various real-life problems from a quantitative analysis perspective, and construct the appropriate mathematical model towards the solution;
  • 2- Use graphical solution method and/or Excel Solver to solve a mathematical model
  • 3- Analyze the solution and express the results to the third parties effectively.
Planned Learning Activities and Teaching Methods: Teaching contents in classroom and applied to problems


WEEKLY SUBJECTS AND RELATED PREPARATIONS

WeekSubjectsRelated Preperation
1 Ch1. Introduction to Quantitative Analysis
2 Ch7. Lineer programming: Graphical Method
3 Ch7. Lineer programming: Graphical Method
4 Ch8. LP problem solving
5 Ch8. LP problem solving
6 Ch7. Sensitivity Analysis
7 Ch9. Transportation Models
8 Ch9. Transportation Models
9 Ch10. İnteger, Goal, Nonlinear Programming
10 Ch12. Project Management
11 Ch12. Project Management
12 Ch3. Decision Analysis
13 Ch3. Decision Analysis
14 General Review of the Course


REQUIRED AND RECOMMENDED READING

Quantitative Analysis for Management, B. Render, R.M. Stair, Jr., M.E. Hanna, Pearson, 11th edition 2012.


OTHER COURSE RESOURCES

Quantitative Analysis for Management, B. Render, R.M. Stair, Jr., M.E. Hanna, Pearson, 11th edition 2012.
Stevenson, W.J., ?Operations Management?, 7th or 8th edition, Prentice Hall.


ASSESSMENT METHODS AND CRITERIA

Semester RequirementsNumberPercentage of Grade (%)
Homework Assignments 2 20
Midterms / Oral Exams / Quizes 3 40
Final Exam 1 40
Total: 6 100


WORKLOAD

EventsCountDuration (Hours)Total Workload (hour)
Course Hours14342
Homework Assigments21020
Midterms / Oral Exams / Quizes31133
Final Exam13030
Total Workload (hour):125


THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES (LO) AND PROGRAM QUALIFICATIONS (PQ)

# PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12
LO1                        
LO2                        
LO3