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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
CENG 408INTELLIGENT CONTROL SYSTEMS3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective The aim of this course is to teach artificial intelligence methods in automatic control applications
Course Content Introduction to intelligent control, structural theories of intelligent control, application fields of intelligent control, framework of knowledge representation, methods of inference, hierarchical control systems, expert control systems, fuzzy control systems, mathematical foundation of fuzzy control systems, fuzzy PID, self-organizing, self-tuning and self-learning controllers, design of fuzzy controllers, Neurocontrol systems, neural network architectures, neural network based adaptive, inverse, learning, internal model and model predictive controllers. Neuro-fuzzy controllers, intelligent control applications
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Learning intelligent control systems
2Understanding the application areas
3Enhancing the subject area by a sample project on an application study

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001123212542325
LO 002212212543251
LO 003122554234423
Sub Total45797812119999
Contribution122323443333

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments21020
Mid-terms11010
Final examination11616
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes