Graduate Education Institute · Computer Science and Engineering · Master
ECTS: 7.5 T+P+L: 3+0+0 Departmental Elective
Coordinator: Doç. Dr. Tahir Çetin AKINCI
Course Objective
The aim of this course is to learn the artificial intelligence methods and languages and to understand the suitability of a problem for these methods.
Course Content
An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. It is composed of a large number of highly interconnected processing elements (neurones) working in unison to solve specific problems
Course Learning Outcomes
- Identifying the problems that can be solved using neural networkalgorithms and being able to solve them.
Core Area Distribution
(46) Mathematics and Statistics%20 (48) Computing%70 (52) Engineering and Engineering Trades%10