Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
5MIS 311Optimization and Decision Making3+0+035

Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program MANAGEMENT INFORMATION SYSTEMS
Mode of Delivery Face to Face
Type of Course Unit Compulsory
Objectives of the Course To introduce linear programming as a means for decision-making, and to teach translating decision problems in the business administration major into mathematical programming formulations.
Course Content Introduction to operations research, formulation of the linear programming models, formulation of the integer programming models, post-optimality analysis.
Course Methods and Techniques Lecturing, discussion and problem solving.
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Prof.Dr. Cem Harun Meydan cem.harun.meydan@ankarabilim.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources 1.Goodwin, Paul; and George Wright (2014) Decision Analysis for Management Judgment. Fifth Edition. Wiley. ISBN:9781118887875. 2.Render B., Stair R.M. Jr., Hanna M.E. (2003) "Quantitative Analysis for Management", Pearson Education Inc
Winston, W. L. (2004). Operations research: applications and algorithms. Cengage Learning.
Ragsdale, C. (2021). Spreadsheet modeling and decision analysis: a practical introduction to business analytics. Cengage Learning.
Rardin, R. L.. (1998). Optimization in operations research (Vol. 166). Upper Saddle River, NJ:Prentice Hall.
Williams, H. P. (2013). Model building in mathematical programming. John Wiley & Sons.

Course Category
Mathematics and Basic Sciences %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Attendance 14 % 0
Practice 8 % 0
Final examination 1 % 60
Total
24
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 5 70
Assignments 14 2 28
Mid-terms 1 2 2
Final examination 1 2 2
Total Work Load   Number of ECTS Credits 5 144

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 apply the methods of operations research to business problems, to make the right decision
2 model business problems and to make managerial decisions by solving them with computer programs


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to management science and modeling
2 Building Linear Programming (LP) Models (Part 1)
3 Building Linear Programming (LP) Models (Part 2)
4 Solving LPs using the graphical methods
5 Standard form for LPs and the simplex algorithm
6 Comparing the simplex algorithm with the graphical method
7 Mid- term exam
8 Duality
9 Mid-Term Examinations
10 Sensitivity Analysis
11 Introduction to spreadsheet modeling
12 Sensitivity analysis for spreadsheet models
13 LP models for the transportation problem
14 Introduction to Integer Linear Programming (IP): the assignment problem
15 Fixed-charge constraints for IPs
16 Final Exam


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
All 5 2 3 4 1 5 2 4 5 2 4
C1
C2

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant


https://obs.ankarabilim.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=50620&lang=en&curProgID=5813