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 |
ASSOCIATE PROFESSOR DERYA BIRANT |
Offered to |
Computer Engineering Non-Thesis |
Course Objective |
This is an advanced course on researches focusing on collecting and/or processing data about time, i.e., on the discovery of patterns change over time. The Temporal Information Systems (TIS) will cover analysing the data which has temporal aspects and discovering patterns, relationships, and rules from temporal data. |
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 |
Temporal Data Mining via Unsupervised Ensemble Learning, Yun Yang, 2016. |
Planned Learning Activities and Teaching Methods |
Lectures, |
Assessment Methods |
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*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable. |
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) |
Assoc.Prof. Dr. Derya BIRANT |
Office Hours |
Will be announced at the beginning of the term. |
Work Placement(s) |
None |
Workload Calculation |
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Contribution of Learning Outcomes to Programme Outcomes |
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