| Course Name | Code | Semester | T+U Hours | Credit | ECTS |
|---|---|---|---|---|---|
| Decision Support Systems | ENF 517 | 0 | 3 + 0 | 3 | 6 |
| Precondition Courses | |
| Recommended Optional Courses | |
| Course Language | Turkish |
| Course Level | yuksek_lisans |
| Course Type | Optional |
| Course Coordinator | Dr.Öğr.Üyesi HALİL İBRAHİM CEBECİ |
| Course Lecturers | |
| Course Assistants | Assist. Prof. Dr. Abdulkadir Hızıroğlu |
| Course Category | |
| Course Objective | To provide students sufficient knowledge on decision making process and fundamental topics of decision support systems, to make them comprehend the issues regarding intelligent decision support systems and associated technologies as well as their business applications. |
| Course Content | Decision makingh process, decision support systems, intelligent decision support systems and technologies, business applications of (intelligent) decision support systems |
| # | Course Learning Outcomes | Teaching Methods | Assessment Methods |
|---|---|---|---|
| 1 | Lecture, Question-Answer, Discussion, | Testing, Oral Exam, | |
| 2 | Lecture, Question-Answer, Discussion, | Testing, Oral Exam, | |
| 3 | Lecture, Question-Answer, Discussion, | Testing, Oral Exam, | |
| 4 | Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, | Testing, Oral Exam, Homework, Project / Design, | |
| 5 | Lecture, Question-Answer, Discussion, | Testing, Oral Exam, | |
| 6 | Lecture, Question-Answer, Discussion, | Testing, Oral Exam, | |
| 7 | Lecture, Question-Answer, Discussion, | Testing, Oral Exam, | |
| 8 | Lecture, Question-Answer, Discussion, | Testing, Oral Exam, |
| Week | Course Topics | Preliminary Preparation |
|---|---|---|
| 1 | Decision making process and basic concepts | |
| 2 | System concept and decision support systems | |
| 3 | Classification of decision support systems | |
| 4 | Components of decision support systems | |
| 5 | Decision support systems business applications | |
| 6 | Successful decision support systems examples | |
| 7 | Intelligent decision support systems 1 | |
| 8 | Intelligent decision support systems 2 | |
| 9 | Fuzzy logic | |
| 10 | Fuzzy logic applications in businesses | |
| 11 | An intelligent decision support systems case study | |
| 12 | Artificial neural networks | |
| 13 | Artificial neural networks case study | |
| 14 | Genetic algorithms and other intelligent techniques |
| Resources | |
|---|---|
| Course Notes | |
| Course Resources | |
| Order | Program Outcomes | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | X | ||||||
| 2 | X | ||||||
| 3 | X | ||||||
| 4 | X | ||||||
| 5 | X | ||||||
| 6 | X | ||||||
| 8 | X | ||||||
| 9 | X | ||||||
| Evaluation System | |
|---|---|
| Semester Studies | Contribution Rate |
| 1. Ara Sınav | 40 |
| 1. Ödev | 40 |
| 1. Performans Görevi (Seminer) | 20 |
| Total | 100 |
| 1. Yıl İçinin Başarıya | 50 |
| 1. Final | 50 |
| Total | 100 |
| ECTS - Workload Activity | Quantity | Time (Hours) | Total Workload (Hours) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 2 | 32 |
| Mid-terms | 1 | 15 | 15 |
| Assignment | 1 | 30 | 30 |
| Performance Task (Seminar) | 1 | 15 | 15 |
| Total Workload | 140 | ||
| Total Workload / 25 (Hours) | 5.6 | ||
| dersAKTSKredisi | 6 | ||