| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | YÖN403 | Decision Support System in Business | Compulsory | 4 | 7 | 5 |
|
| Level of Course Unit |
| First Cycle |
| Objectives of the Course |
| Information technologies and decision making methods (operations research, simulation, etc.) How do administrators effectively using decision support will be provided. In particular, production and logistics, transport/transportation, health, military, education, construction, etc. on how to create and manage a decision support system is emphasized. |
| Name of Lecturer(s) |
| Doç.Dr. Didem GÜLERYÜZ ÖZDEN |
| Learning Outcomes |
| 1 | Can interpret the impact of organization of information systems. | | 2 | The decision support systems in an institution which involves) requirement analysis. You can design the database, decision support system . | | 3 | Decision support system used in the creation of the selection and assessment of technologies. | | 4 | Can improve a new decision support system. | | 5 | Decision support systems the opportunity to develop and evaluate. |
|
| Mode of Delivery |
| Normal Education |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| Decision support systems, decision support systems, General characteristics, decision support systems, structures and components, the design of a new business intelligence, Linear programming, multi-criteria decision making data mining, web technologies and group decision support systems, expert systems, intelligent decision support Systems. |
| Weekly Detailed Course Contents |
|
| 1 | The Changing Role Of Information Systems In Organizations | | | | 2 | Recognition Of Decision Support Systems | | | | 3 | Types Of Decision Support System | | | | 4 | Linear Programming | | | | 5 | Linear Programming Applications-2 | | | | 6 | Database design and decision support System Applications | | | | 7 | As business intelligence decision support system | | | | 8 | MidTerm Exam | | | | 9 | data mining | | | | 10 | Group Decision Support Systems | | | | 11 | Expert Systems | | | | 12 | Corporate Systems | | | | 13 | Intelligent Decision Support Systems | | | | 14 | Evaluation of term paper | | | | 15 | Evaluation of term paper | | |
|
| Recommended or Required Reading |
| Turban, e., Aronson, j., Decision Support and Intelligent Systems, Prentice-Hall, 2007. |
| Planned Learning Activities and Teaching Methods |
|
| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | | Work Placement(s) | | None |
|
| Workload Calculation |
|
| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 2 | 2 |
| Attending Lectures | 14 | 3 | 42 |
| Discussion | 14 | 2 | 28 |
| Question-Answer | 14 | 2 | 28 |
| Individual Study for Mid term Examination | 7 | 3 | 21 |
| Individual Study for Final Examination | 7 | 3 | 21 |
|
| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 4 | 3 | 4 | 4 | 5 | 2 | | LO2 | 5 | 2 | 5 | 4 | 2 | 2 | | LO3 | 5 | 3 | 2 | 4 | 5 | 3 | | LO4 | 5 | 5 | 4 | 4 | 3 | 5 | | LO5 | 4 | 5 | 4 | 5 | 4 | 3 |
|
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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