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 YAVUZ ŞENOL |
Offered to |
Mechatronics Engineering |
Course Objective |
The course aims to provide an introduction about neural Networks (NN) for mechatronic systems. Fundamental knowledge, neural network types and basic robotic applications will be carried out. |
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): Neural Networks: A Comprehensive Foundation (2nd Edition), 1998, Simon Haykin, ISBN: 0132733501, Prentice Hall |
Planned Learning Activities and Teaching Methods |
The course is done through lectures, assignments and projects in the classroom. Students are expected to participate in all activities, make demo and presentation. |
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 |
Final exam: |
Language of Instruction |
English |
Course Policies and Rules |
To be announced. |
Contact Details for the Lecturer(s) |
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Office Hours |
2 hours per week |
Work Placement(s) |
None |
Workload Calculation |
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Contribution of Learning Outcomes to Programme Outcomes |
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