sample course specif

Faculty of Computers and Information Course Specification Cairo University SELECTED TOPICS - FUZZY AND NEURAL MODLES IT 496 I – Basic Course Information Programme(s) on which the course is g iven: Bachelors in Information Techn ology Major or minor element of programmes: Elective Department(s) offering the programme(s): Information Technology Department Department offering the course: Information Technology Department Academic level: 400 Level Semester in which course is offered: First (Fall) Semester Course pre-requisite(s): None Credit Hours: 3 Contact Hours Through: • Lecture: 3.0 • Tutorial: 0.0 • Practical: 1.5 • Total: 4.5 Authorization date of course specification: 24 January 2008 II – Professional Information 1. Overall Aims of Course This course provides an introduction to basic fundamentals and concepts of neural networks, fuzzy models and their integration. It also aims towards providing essential practical hands on experience to use both paradigms and t heir integration in different IT applications. 2. Intended Learning Outcomes of Course (ILOs) a. Knowledge and Understanding on completing the course the stud ent will know and understand a1- What is the fuzzy set theory and the properties of f uzzy sets. a2- What is the fuzzy relation and and the basic operation with fuzzy relations a3- How to desig n a fuzzy inference systems a4- Understanding the fundementals of artificial neural network a5- Understanding backpropagation training algorithm a6- Overview of the different approaches of fuzzy an d neural network integra tion b. Intellectual/Cognitive Skills On completing the course the student will know how to b1- Analyse a problems and choose the most correct approach to solve it b2- Make basic design choises for the fuzzy and neural network models b3- b4- b5- 1

sample course specif

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