Description of Individual Course Units
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Offered By |
Medical Informatics |
Level of Course Unit |
Second Cycle Programmes (Master's Degree) |
Course Coordinator |
ASSOCIATE PROFESSOR KÖKTEN ULAŞ BIRANT |
Offered to |
Medical Informatics |
Course Objective |
In this course, It is aimed to give basic information to students regarding learning algorithms, neural networks and pattern recognition, image processing and computational vision applications. Three different types of learning, supervised, unsupervised and reinforcement learning applications will be explained and discussed. |
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 |
1) S. Haykin, Neural Networks: A Comprehensive Foundation 2nd edition, (Prentice Hall, 1999) |
Planned Learning Activities and Teaching Methods |
Assessment Methods |
Successful / Unsuccessful *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable. |
Further Notes About Assessment Methods |
None |
Assessment Criteria |
Evaluation of homeworks, projects and exams |
Language of Instruction |
Turkish |
Course Policies and Rules |
Attendance is an essential requirement of this course and is the responsibility of the student. Students are expected to attend all lecture and recitation hours. Attendance must be at least 70% for the lectures. |
Contact Details for the Lecturer(s) |
Dokuz Eylül Üniversitesi, Faculty of Engineering, Department of Electrical and Electronics |
Office Hours |
To be announced. |
Work Placement(s) |
None |
Workload Calculation |
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Contribution of Learning Outcomes to Programme Outcomes |
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