At the end of this course, the students; 1) Recognize the quantitative and qualitative approaches used in problem solving in management science. 2) Recognize, classify and model decision problems that are important for businesses. 3) Recognize appropriate solution methods for decision problems and software that can apply these methods. 4) Have the ability to apply quantitative techniques that the business can use for decision situations and to interpret the results.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
In this course, which aims to examine the numerical methods used in management science, first of all, the approaches used for decision problems and their historical development are given. Within the scope of numerical methods, formulation of linear programming and integer programming models, graphical solution method, simplex solution method, sensitivity analysis as well as transportation and assignment problems and solution methods of these problems are examined. Decision analysis and project management issues are covered. All methods are supported by case studies and emphasis is placed on interpretation and reporting of results.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Introduction to management science. Quantitative and qualitative approaches to decision making.
2nd Week
Linear programming: Model formulation
3rd Week
Linear programming: Graphical solution
4th Week
Linear programming: Sensitivity analyzes
5th Week
Linear programming: Simplex algorithm and its applications
6th Week
Linear programming: case studies
7th Week
Integer programming
8th Week
Midterm
9th Week
Network models
10th Week
Transportation and assignment problems
11th Week
"Project management: Critical path method (CPM)"
12th Week
Project management: Project evaluation and review technique (PERT)
13th Week
Decision analysis
14th Week
Decision analysis sample applications
RECOMENDED OR REQUIRED READING
1- Sarıaslan H, Karacabey A, Gökgöz F. Nicel Karar Yöntemleri. Ankara: Siyasal Kitabevi; 2017 2- Anderson, David R., Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran. (2012) An Introduction to Management Science. Quantitative Approaches to Decision Making 13th Edition, Mason: South-Western, Cengage Learning.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Practice
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
40
Attendance
1
10
Total(%)
50
Contribution of In-term Studies to Overall Grade(%)
50
Contribution of Final Examination to Overall Grade(%)
50
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
1
1
Preparation for Quiz
Individual or group work
14
4
56
Preparation for Final exam
1
24
24
Course hours
13
3
39
Preparation for Midterm exam
1
12
12
Laboratory (including preparation)
Final exam
1
1
1
Homework
1
14
14
Total Workload
147
Total Workload / 30
4,9
ECTS Credits of the Course
5
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
