Code |
Name of the Course Unit |
Semester |
In-Class Hours (T+P) |
Credit |
ECTS Credit |
YBS321 |
NUMERICAL DECISION MAKING METHODS |
5 |
3 |
3 |
5 |
GENERAL INFORMATION |
Language of Instruction : |
Turkish |
Level of the Course Unit : |
BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle |
Type of the Course : |
Elective |
Mode of Delivery of the Course Unit |
- |
Coordinator of the Course Unit |
Assoc.Prof. BÜLENT İLHAN |
Instructor(s) of the Course Unit |
|
Course Prerequisite |
No |
OBJECTIVES AND CONTENTS |
Objectives of the Course Unit: |
This course aims to make use of the mathematical models to solve decision problems and their applications, to identify the correct method, to identify and to perform the necessary analyses. |
Contents of the Course Unit: |
Contents of the course include theoretical and practical teaching of the subjects such as project management, production planning and inventory control, mass production planning, stock control systems, process management and capacity planning, modelling, linear programming, optimization problems, business design, quality control, transmission model, assignment model and transfer model, project programming and control techniques-PERT/CPM, decision analysis, game theory, queuing theory, decision-making, decision-making problems, decision-making process, benefit theory, certainty, decision-making under uncertainty and risk, numerical decision-making, computer aided decision-making, computer aided problem solving and simulation. |
KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to) |
Use optimization problems (linear programming models) as a tool for decision making. |
Evaluate the resources effectively for the organization. |
Analyze existing resources for efficiency. |
Distinguish between efficient and inefficient sources. |
WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY |
Week |
Preparatory |
Topics(Subjects) |
Method |
1 |
- |
Numerical decision-making techniques
General introduction |
Lecture & Practice – Exercise & Team/Group Work |
2 |
Literature Review |
Model concept and optimization, introduction to linear programming |
Lecture & Practice – Exercise & Team/Group Work |
3 |
Literature Review |
Linear programming: basic concepts and modelling |
Lecture & Practice – Exercise & Team/Group Work |
4 |
Literature Review |
Linear programming: solution concept |
Lecture & Practice – Exercise & Team/Group Work |
5 |
Literature Review |
Linear programming: sensitivity analysis |
Lecture & Practice – Exercise & Team/Group Work |
6 |
Literature Review |
Linear programming: Simplex method and Duality |
Lecture & Practice – Exercise & Team/Group Work |
7 |
Literature Review |
Integer Linear programming: Modelling |
Lecture & Practice – Exercise & Team/Group Work |
8 |
- |
MID-TERM EXAM |
- |
9 |
Literature Review |
0 – 1 programming: Modelling |
Lecture & Practice – Exercise & Team/Group Work |
10 |
Literature Review |
Data envelopment analysis |
Lecture & Practice – Exercise & Team/Group Work |
11 |
Literature Review |
Markov analysis |
Lecture & Practice – Exercise & Team/Group Work |
12 |
Literature Review |
Estimation methods |
Lecture & Practice – Exercise & Team/Group Work |
13 |
Literature Review |
Decision-making analysis:
decision making under uncertainty |
Lecture & Practice – Exercise & Team/Group Work |
14 |
Literature Review |
Decision-making analysis: decision making under risk |
Lecture & Practice – Exercise & Team/Group Work |
15 |
Literature Review |
Introduction to project management |
Lecture & Practice – Exercise & Team/Group Work |
16 |
- |
FINAL EXAM |
- |
17 |
- |
FINAL EXAM |
- |
SOURCE MATERIALS & RECOMMENDED READING |
Celikbilek, Y. (2018). Cok Kriterli Karar Verme Yontemleri - Aciklamalı ve Karsilastirmali Saglik Bilimleri Uygulamalari. Nobel Akademik Publications. |
Ozcan, Y. (2013). Saglik Kurumlari Yonetiminde Sayısal Yontemler–Teknikler ve Uygulamalar. Cevirenler: Sahin Kavuncubasi ve Selami Yildirim. Siyasal Bookstore. |
Timor, M. (2010). Yoneylem arastirmasi. Turkmen Bookstore. |
ASSESSMENT |
Assessment & Grading of In-Term Activities |
Number of Activities |
Degree of Contribution (%) |
Description |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES
KNOWLEDGE |
Theoretical |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Define the basic concepts of economics, administrative and human sciences. (Bloom 1)
|
|
|
|
|
|
|
2 |
Evaluate the economic environment and overall sustainability of firms. (Bloom 4)
|
|
|
|
|
|
|
KNOWLEDGE |
Factual |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Relate principles and concepts of economics and finance with other disciplines. (Bloom 4)
|
|
|
|
|
|
|
2 |
Define principles, concepts, methods and theories related with economics and finance. (Bloom 1)
|
|
|
|
|
|
|
SKILLS |
Cognitive |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Interpret the charts and tables related to the field. (Bloom 2)
|
|
|
|
|
|
|
SKILLS |
Practical |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Evaluate the theoretical models of economic policies which have direct or indirect effects by using the facts and dynamics of the economic system.(Bloom 4)
|
|
|
|
|
|
|
2 |
Analyze economic and financial reports. ((bloom 4)
|
|
|
|
|
|
|
3 |
Use basic mathematics, statistics and econometric methods and tools to solve economic and financial problems. (Bloom 3)
|
|
|
|
|
|
|
4 |
Interpret the operation of current economic, political and social events by using institutional information related with Economics and Finance.(Bloom 2)
|
|
|
|
|
|
|
OCCUPATIONAL |
Autonomy & Responsibility |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Organize economic and financial activities in humanitarian and social terms with adherence to ethics. (Bloom 4).
|
|
|
|
|
|
|
OCCUPATIONAL |
Learning to Learn |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Develop a critical perspective on national and international economic, political, social, financial and development problems. (bloom 6)
|
|
|
|
|
|
|
OCCUPATIONAL |
Communication & Social |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Follow the agenda on economics, politics and social issues and improve himself/ herself. (bloom 6)
|
|
|
|
|
|
|
OCCUPATIONAL |
Occupational and/or Vocational |
|
Programme Learning Outcomes |
Level of Contribution |
0 |
1 |
2 |
3 |
4 |
5 |
1 |
Analyze current issues and problems by using the structure and properties of Macro and Microeconomics and variables. (Bloom 4)
|
|
|
|
|
|
|
2 |
Evaluate the effectiveness of the general economic system and public policies and their effects on markets and basic economic variables.(Bloom 4)
|
|
|
|
|
|
|
3 |
Analyze the cause and effect relationships between the relevant economic variables. (Bloom 4)
|
|
|
|
|
|
|
4 |
Evaluate the expected trends and portfolio analyzes in interest and exchange rates within the framework of the general financial system. (Bloom 4)
|
|
|
|
|
|
|
WORKLOAD & ECTS CREDITS OF THE COURSE UNIT |
Workload for Learning & Teaching Activities |
Type of the Learning Activites |
Learning Activities (# of week) |
Duration (hours, h) |
Workload (h) |
Lecture & In-Class Activities |
14 |
3 |
42 |
Preliminary & Further Study |
13 |
2 |
26 |
Land Surveying |
0 |
0 |
0 |
Group Work |
0 |
0 |
0 |
Laboratory |
0 |
0 |
0 |
Reading |
0 |
0 |
0 |
Assignment (Homework) |
0 |
0 |
0 |
Project Work |
0 |
0 |
0 |
Seminar |
0 |
0 |
0 |
Internship |
0 |
0 |
0 |
Technical Visit |
0 |
0 |
0 |
Web Based Learning |
0 |
0 |
0 |
Implementation/Application/Practice |
0 |
0 |
0 |
Practice at a workplace |
0 |
0 |
0 |
Occupational Activity |
0 |
0 |
0 |
Social Activity |
0 |
0 |
0 |
Thesis Work |
0 |
0 |
0 |
Field Study |
0 |
0 |
0 |
Report Writing |
0 |
0 |
0 |
Final Exam |
1 |
1 |
1 |
Preparation for the Final Exam |
7 |
5 |
35 |
Mid-Term Exam |
1 |
1 |
1 |
Preparation for the Mid-Term Exam |
5 |
4 |
20 |
Short Exam |
0 |
0 |
0 |
Preparation for the Short Exam |
0 |
0 |
0 |
TOTAL |
41 |
0 |
125 |
|
Total Workload of the Course Unit |
125 |
|
|
Workload (h) / 25.5 |
4,9 |
|
|
ECTS Credits allocated for the Course Unit |
5,0 |
|