| MATHEMATICS (TURKISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| CMP6102 | Advanced Topics in Data Mining | Fall | 3 | 0 | 3 | 12 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. Öğr. Üyesi TEVFİK AYTEKİN |
| Course Objectives: | This course covers advanced topics, as well as current research topics in data mining: text mining, data stream mining, social media mining, recommender systems, etc. |
|
The students who have succeeded in this course; 1.Understand and apply the most current data mining techniques and applications, such as text mining, mining genomics data, and other current issues 2.Understand the mathematical statistics foundations of the algorithms outlined 3.Evaluate current research and advanced topics in data mining |
| 1.text mining 2.data stream mining 3.social media mining 4.recommender systems 5.current research papers |
| Week | Subject | Related Preparation | |
| 1) | Text Mining Introduction | None | |
| 1) | Research Paper | None | |
| 2) | Text Mining Advanced Topics | None | |
| 3) | Data Stream Mining Introduction | None | |
| 4) | Data Stream Mining Advanced | None | |
| 5) | Data Stream Mining Literature Research | None | |
| 6) | Data Stream Mining - Reading Selected Papers | None | |
| 7) | Midterm 1 | Review study topics | |
| 8) | Social Media Mining Introduction | None | |
| 9) | Social Media Mining Advanced Topics | None | |
| 10) | Recommender Systems Introduction | None | |
| 11) | Social Media Mining - Reading Selected Papers | None | |
| 12) | Midterm 2 | Review study topics | |
| 13) | Research Paper | None | |
| 14) | Research Paper | None | |
| Course Notes: | Advanced Data Mining Techniques by David L. Olson and Dursun Delen |
| References: |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | % 0 | |
| Laboratory | % 0 | |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | % 0 | |
| Homework Assignments | % 0 | |
| Presentation | % 0 | |
| Project | 3 | % 20 |
| Seminar | % 0 | |
| Midterms | 2 | % 30 |
| Preliminary Jury | % 0 | |
| Final | 1 | % 50 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 30 | |
| PERCENTAGE OF FINAL WORK | % 70 | |
| Total | % 100 | |
| Activities | Number of Activities | Workload | |
| Course Hours | 14 | 42 | |
| Laboratory | |||
| Application | |||
| Special Course Internship (Work Placement) | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 48 | |
| Presentations / Seminar | |||
| Project | 10 | 30 | |
| Homework Assignments | |||
| Quizzes | |||
| Preliminary Jury | |||
| Midterms | 14 | 42 | |
| Paper Submission | |||
| Jury | |||
| Final | 5 | 33 | |
| Total Workload | 195 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |