| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Web Mining | BLM504 | Elective | Master's degree | 1 | Spring | 8 |
Name of Lecturer(s)
Prof. Dr. Sevinç İLHAN OMURCA
Learning Outcomes of the Course Unit
1) Have knowledge of concepts of Internet Mining
2) Have knowledge of Knowledge Extraction
3) Supervised Web Mining Methods
4) Unsupervised Web Mining Methods
5) Web Mining Applications
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | ||
| Learning Outcomes | ||||||||||||
| 1 | No relation | No relation | Middle | No relation | No relation | Middle | High | No relation | Low | No relation | No relation | |
| 2 | No relation | No relation | High | No relation | No relation | Middle | High | No relation | Low | No relation | No relation | |
| 3 | No relation | No relation | High | No relation | No relation | Middle | High | No relation | Low | No relation | No relation | |
| 4 | No relation | No relation | High | No relation | No relation | Middle | High | No relation | Low | No relation | No relation | |
| 5 | No relation | No relation | High | No relation | No relation | High | High | No relation | Low | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Machine Learning
Course Contents
Introduction to web mining, web search and knowledge retreival, similarity and clustering, supervised learning, web mining applications.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
70% |
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Contribution of Final Examination to Course Grade |
30% |
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Total | 100% | |||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required