Description of Individual Course Units
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Offered By |
Graduate School of Natural and Applied Sciences |
Level of Course Unit |
Second Cycle Programmes (Master's Degree) |
Course Coordinator |
ASSISTANT PROFESSOR GÖKSU TÜYSÜZOĞLU |
Offered to |
Industrial Ph.D. Program In Advanced Biomedical Technologies |
Course Objective |
The aim of this course is to give students the theoretical background of data mining algorithms and techniques and to give the student the ability to select and apply appropriate data mining techniques for different applications. This course will enable a student to learn data preprocessing, association rule mining, classification and prediction, and cluster analysis with applications. |
Learning Outcomes of the Course Unit |
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Mode of Delivery |
Face -to- Face |
Prerequisites and Co-requisites |
None |
Recomended Optional Programme Components |
None |
Course Contents |
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Recomended or Required Reading |
Textbook: |
Planned Learning Activities and Teaching Methods |
Lectures, |
Assessment Methods |
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Further Notes About Assessment Methods |
None |
Assessment Criteria |
Course outcomes will be evaluated with the presentation of the student about a topic, literature review, and project / report prepared by the student. |
Language of Instruction |
English |
Course Policies and Rules |
Code writing knowledge and skills are required. |
Contact Details for the Lecturer(s) |
Asst. Prof. Dr. Göksu TÜYSÜZOĞLU |
Office Hours |
Tuesday 13:00 - 15:00 |
Work Placement(s) |
None |
Workload Calculation |
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Contribution of Learning Outcomes to Programme Outcomes |
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