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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EEE 5031 ADVANCED COMPUTER NETWORKS ELECTIVE 3 0 0 8

Offered By

Medical Informatics

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

Medical Informatics

Course Objective

The objectives of the course are: to present the basic network architectures and learning rules; to provide mathematical methods for neural network analysis and design; to provide knowledge for network training and overfitting avoidance; to apply neural networks to practical engineering problems in areas of function approximation, pattern recognition, and signal processing.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description

Recomended or Required Reading

Main Sources: Principles of Neurocomputing for Science & Engineering, McGraw Hill, 2001 Suplementary Sources: Neural Networks A Comprehensive Foundation, Simon Haykın Prentice Hall, 1999 Other Materials: Course notes.

Planned Learning Activities and Teaching Methods

Assessment Methods

Successful / Unsuccessful

Further Notes About Assessment Methods

None

Assessment Criteria

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

yavuz.senol@deu.edu.tr

Office Hours

Posted each term

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) TOTAL WORKLOAD (hours) 0

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 PO.15 PO.16