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 |
PROFESSOR DOCTOR RECEP ALP KUT |
Offered to |
Industrial Ph.D. Program In Advanced Biomedical Technologies |
Course Objective |
Machine learning algorithms play an important role in industrial applications, commercial data analysis and especially data mining applications. The aim of this course is to give students both the theoretical justification and practical application of machine learning algorithms on real-world data sets. This course is intended for graduate students who conduct research in fields which use machine learning, such as computer vision, natural language processing, data mining, bioinformatics, and robotics. |
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(s): Ethem ALPAYDIN, Introduction to Machine Learning, The MIT Press, first edition 2004, second edition 2010. |
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 and project / report prepared by the student. |
Language of Instruction |
English |
Course Policies and Rules |
To be announced. |
Contact Details for the Lecturer(s) |
Prof.Dr. R. Alp KUT |
Office Hours |
Thursday 9:00 - 10:00 |
Work Placement(s) |
None |
Workload Calculation |
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Contribution of Learning Outcomes to Programme Outcomes |
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