Code | Name of the Course Unit | Semester | In-Class Hours (T+P) | Credit | ECTS Credit |
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YBS302 | DECISION SUPPORT SYSTEMS | 6 | 3 | 3 | 7 |
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 : | Compulsory |
Mode of Delivery of the Course Unit | - |
Coordinator of the Course Unit | Assist.Prof. DİDEM TETİK KÜÇÜKELÇİ |
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 establish the mathematical model of the decision environment and to make operations on the model. This course aims to develop the ability to use quantitative techniques in order to assist the business manager in decision-making. |
Contents of the Course Unit: | Contents of the course include the subjects such as understanding the management information system after the general introduction to definitions related to information systems; deciding the Decision Support System (DSS), which provides information technology and solution models to help decision-makers make semi-structural and non-structural decisions. |
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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Decide effective decisions in uncertainty environment. |
Understand the role of quantitative decision techniques on business decisions. |
Use simulation techniques and non-linear programming techniques. |
Choose the best among the alternatives in business problems. |
Use linear programming and game theory techniques in business decision making. |
Model management problems. |
WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY |
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Week | Preparatory | Topics(Subjects) | Method |
1 | - | Decision Making Processes and Models | Lecture & Discussion & Practice |
2 | Literature Review | Introduction to Probability Theory | Lecture & Discussion & Practice |
3 | Literature Review | Decision Analysis | Lecture & Discussion & Practice |
4 | Literature Review | Profit and Game Theory | Lecture & Discussion & Practice |
5 | Literature Review | Introduction to Linear Programming | Lecture & Discussion & Practice |
6 | Literature Review | Linear Programming Applications | Lecture & Discussion & Practice |
7 | Literature Review | Markov Chain Analysis | Lecture & Discussion & Practice |
8 | - | MID-TERM EXAM | - |
9 | Literature Review | Project Planning | Lecture & Discussion & Practice |
10 | Literature Review | Queuing theory | Lecture & Discussion & Practice |
11 | Literature Review | Simulation | Lecture & Discussion & Practice |
12 | Literature Review | Prediction Techniques | Lecture & Discussion & Practice |
13 | Literature Review | Integer programming | Lecture & Discussion & Practice |
14 | Literature Review | Goal Programming | Lecture & Discussion & Practice |
15 | Literature Review | Non-Linear Programming | Lecture & Discussion & Practice |
16 | - | FINAL EXAM | - |
17 | - | FINAL EXAM | - |
SOURCE MATERIALS & RECOMMENDED READING |
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Gursakal, S. (2015). Karar Verme. Editorler: Mustafa Aytac ve Necmi Gursakal, Dora Publications, Bursa. |
Yarman, B. S. B., Unal, A. C. (2015). Stratejik Karar Verme Boyutunda Bilgi Toplama - Isleme Amacli Karar Destek Sistemleri. Nobel Publications |
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 concepts such as management, manager and leader.
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4 | |||||
2 |
Analyze the accuracy, reliability and validity of the new information obtained from the data.
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4 |
KNOWLEDGE |
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Factual |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Report the obtained data.
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5 | |||||
2 |
Prepare software and projects related with the field.
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5 |
SKILLS |
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Cognitive |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Use the appropriate resources for data analysis related with the field.
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5 | |||||
2 |
Analyze the work processes.
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5 |
SKILLS |
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Practical |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Manage projects as part of a team.
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5 | |||||
2 |
Apply the material, techniques and analyzes in relation with the subject for project and work flows.
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5 |
OCCUPATIONAL |
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Autonomy & Responsibility |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Fulfill responsibility with a focus on result in individual and team studies.
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5 |
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 |
Recognizes what he/she knows about his/her field or not.
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5 | |||||
2 |
Act the theoretical knowledge in real life with learning to learn approach.
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5 | |||||
3 |
Apply different methods and techniques with an innovative approach in his/her research.
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5 |
OCCUPATIONAL |
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Communication & Social |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Apply the results obtained in accordance with voluntarism and social responsibility projects.
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5 | |||||
2 |
Establish a healthy contact with colleagues
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3 | |||||
3 |
Share the analyzes and obtained results with colleagues.
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3 | |||||
4 |
Cooperate with colleagues at international level with the help of foreign language competency.
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3 |
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 |
Behave in accordance with ethical values regarding the collection, analysis and reporting of data.
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4 | |||||
2 |
Participate the design of work processes and systems with full quality.
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5 | |||||
3 |
Cooperate with other employees for the continuation of sustainability in the profession.
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3 |
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 | 13 | 1 | 13 |
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 | 13 | 1 | 13 |
Final Exam | 1 | 1 | 1 |
Preparation for the Final Exam | 6 | 6 | 36 |
Mid-Term Exam | 1 | 1 | 1 |
Preparation for the Mid-Term Exam | 8 | 6 | 48 |
Short Exam | 0 | 0 | 0 |
Preparation for the Short Exam | 0 | 0 | 0 |
TOTAL | 69 | 0 | 180 |
Total Workload of the Course Unit | 180 | ||
Workload (h) / 25.5 | 7,1 | ||
ECTS Credits allocated for the Course Unit | 7,0 |