Code | Name of the Course Unit | Semester | In-Class Hours (T+P) | Credit | ECTS Credit |
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YBS321 | NUMERICAL DECISION MAKING METHODS | 5 | 3 | 3 | 5 |
GENERAL INFORMATION |
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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 | Prof. ŞENOL DURGUN |
Instructor(s) of the Course Unit | |
Course Prerequisite | No |
OBJECTIVES AND CONTENTS |
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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) |
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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 |
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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 |
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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 |
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Assessment & Grading of In-Term Activities | Number of Activities | Degree of Contribution (%) | Description |
Level of Contribution | |||||
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0 | 1 | 2 | 3 | 4 | 5 |
KNOWLEDGE |
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Theoretical |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Define the basic concepts of economics, administrative and human sciences.
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2 |
Explain the general structure, operation and public policy formation process of administration.
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3 |
Relate the principles and rules of political behavior, behavior and leadership in organizations.
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4 |
Relate the knowledge of ecological, economic and social sustainability with information related to the field.
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KNOWLEDGE |
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Factual |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Use information about his / her field in professional life and everyday life.
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2 |
Use information related to ecological, economic and social sustainability in professional life and everyday life.
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SKILLS |
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Cognitive |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Interpret current political and administrative developments and the functioning of the democratic system by using the knowledge of political science and public administration.
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2 |
Define the basic concepts of management, urbanization, environmental policies, political and legal sciences.
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3 |
Relate professional knowledge of management, urbanization, environmental policies, politics and legal sciences to universal values
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SKILLS |
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Practical |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Compare the administrative structures and country management models by using the theoretical knowledge in the field of political science and public.
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2 |
Organize events between the public, private sector and voluntary organizations.
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OCCUPATIONAL |
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Autonomy & Responsibility |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Collaborate with the people in the field of political science and public administration.
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2 |
By using the accumulation of knowledge in political science and public administration; manage project, event and social responsibility activities.
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OCCUPATIONAL |
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Learning to Learn |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Analyze existing structures with a critical approach based on universal legal norms and administrative structures.
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2 |
Apply the written and unwritten legal rules and ethical codes in his / her personal and professional life.
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OCCUPATIONAL |
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Communication & Social |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Improve himself/herself by following the political and administrative agenda and the written-oral work on the agenda.
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2 |
Debate in the field of political science and public administration with different target groups in multicultural environments.
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OCCUPATIONAL |
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Occupational and/or Vocational |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Taking advantage of the existing history and theoretical knowledge of the field; interpret and analyze current issues, events and problems.
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2 |
Develop original plans and programs to guide the functioning of political and bureaucratic institutions.
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3 |
Develop alternative public policy proposals in the construction and implementation of sustainable and effective public policies.
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4 |
Design reform programs aimed at making and improving the functioning of political and administrative organizations.
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WORKLOAD & ECTS CREDITS OF THE COURSE UNIT |
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Workload for Learning & Teaching Activities |
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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 |