Information Package / Course Catalogue
| Course Code | : CSE418 |
| Course Type | : Area Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : English |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 2 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 6 |
Learning data mining techniques and concepts, analysis of application domain and choose appropriate data mining technique, design and implement data mining models, interpret the model results.
Data mining and knowledge discovery Data cleaning and preprocessing Classification methods Clustering methods Association rules Text mining Model Evaluation.
| Lec. Denizhan DEMİRKOL |
| 1. | 1) Ability to prepare data for data mining applications |
| 2. | 2) Ability to choose appropriate data mining algorithm |
| 3. | 3) Ability to understand the theoretical foundations and workings of different data mining methods |
| 4. | 4) Ability to evaluate and interpret the results of different models |
| 5. | 5) Ability to analyse current problems and modify a data mining method to solve a new problem |
| 1. | Han, J., and Kamber M., 2006. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers. ISBN 1-55860-489-8. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %15 |
| Final Examination | 1 | %60 |
| Quiz | 4 | %15 |
| Seminar | 5 | %5 |
| Term Assignment | 1 | %5 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 2 | 28 |
| Lecture - Practice | 14 | 0 | 2 | 28 |
| Assignment | 14 | 0 | 3 | 42 |
| Laboratory | 14 | 0 | 2 | 28 |
| Midterm Examination | 1 | 10 | 1 | 11 |
| Final Examination | 1 | 10 | 3 | 13 |
| TOTAL WORKLOAD (hours) | 150 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | |
OÇ-1 | |||||||||||
OÇ-2 | |||||||||||
OÇ-3 | 5 | ||||||||||
OÇ-4 | 5 | 5 | 5 | ||||||||
OÇ-5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | ||||