PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
CENG 408	INTELLIGENT CONTROL SYSTEMS	3 + 0	8th Semester	5

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

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

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001	5	4	3	5	4		5			4	5
LO 002	5	4	3	5	4		5			4	5
LO 003	5	4	3	5	4		5			4	5
Sub Total	15	12	9	15	12		15			12	15
Contribution	5	4	3	5	4	0	5	0	0	4	5	0

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	2	28
Hours for off-the-classroom study (Pre-study, practice)	14	2	28
Assignments	5	4	20
Mid-terms	1	24	24
Final examination	1	30	30
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2020-2021 Summer	1	ÖMER BOYACI
Details	2020-2021 Spring	1	ÖMER BOYACI

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
CENG 408	INTELLIGENT CONTROL SYSTEMS	3 + 0	1	Turkish	2020-2021 Summer

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Lecturer ÖMER BOYACI	omerboyaci@pau.edu.tr		MUH A0245	%70

Goals		The aim of this course is to teach artificial intelligence methods in automatic control applications
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

Topics

Weeks	Topics
1	Introduction to Intelligent Control Systems
2	Structural Theory of Intelligent Control
3	Application Areas of Smart Control
4	PID
5	PID
6	Fuzzy Logic Control Systems
7	Fuzzy Logic Control Systems
8	Fuzzy Logic Control Systems
9	Intelligent Control Systems Applications
10	Intelligent Control Systems Applications
11	Intelligent Control Systems Applications
12	Intelligent Control Systems Applications
13	Intelligent Control Systems Applications
14	Intelligent Control Systems Applications

Materials

Materials are not specified.

Resources

Resources	Resources Language
Yapay Zeka Uygulamaları Prof. Dr. Çetin Elmas	Türkçe

Course Assessment

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

Prospective Student