COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
CENG 408INTELLIGENT CONTROL SYSTEMS3 + 08th 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 0154354 5  45 
LO 0254354 5  45 
LO 0354354 5  45 
Sub Total151291512 15  1215 
Contribution543540500450

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14228
Hours for off-the-classroom study (Pre-study, practice)14228
Assignments5420
Mid-terms12424
Final examination13030
Total Work Load

ECTS Credit of the Course






130

5

COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Spring1ÖMER BOYACI

Course Details
Course Code:  CENG 408 Course Title:  INTELLIGENT CONTROL SYSTEMS
L+P Hour : 3 + 0   Course Code : 1   Language Of Instruction: Turkish Course Semester :  2020-2021 Spring
Course Coordinator :  LECTURER ÖMER BOYACI E-Mail:  omerboyaci@pau.edu.tr Phone Number : 
Course Location MUH A0257,
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
Attendance : %70
Topics
WeeksTopics
1 Introduction to Intelligent Control Systems
2 Structural Theory of Intelligent Control
3 Application Areas of Smart Control
4 Expert Control Systems
5 Expert Control Systems
6 Fuzzy Logic Control Systems
7 Fuzzy Logic Control Systems
8 Fuzzy Logic Control Systems
9 Artificial neural networks
10 Artificial neural networks
11 Artificial neural networks
12 Intelligent Control Systems Applications
13 Intelligent Control Systems Applications
14 Intelligent Control Systems Applications
Materials
Materials are not specified.
Resources
ResourcesResources Language
Yapay Zeka Uygulamaları Prof. Dr. Çetin ElmasTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes
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