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SDÜ Education Information System Course Content
Programme
Graduate School of Natural and Applied Sciences Industrial Engineering, M.Sc.
Course Information
Course Unit Code
Course Unit Title
Credit Theoretic
Credit Pratic
Credit Lab/A
Credit Total
Credit Ects
Semester
01END5104
Fuzzy Sets and Artificial Neural Networks
3.00
0.00
0.00
3.00
6.00
1
Course Information
Language of Instruction
Turkish
Type of Course Unit
Elective
Course Coordinator
Assistant Professor Dr. Gültekin ÖZDEMİR
Course Instructors
3-Gültekin Özdemir
Course Assistants
 
Course Aims
Artificial intelligence applications, artificial intelligence to teach by giving the general structure and algorithms.
Course Goals
Artificial intelligence applications to learning
Learning Outcomes of The Course Unit
1) Understanding general structure of artificial intelligence
2) Understanding artificial neural networks
3) Understanding expert systems
4) Understanding genetic algorithms
5) Understanding fuzzy logic
Course Contents
Basic concepts (search, problem solving, knowledge representation methods, planning, natural language processing), artificial neural networks, expert systems, genetic algorithms, fuzzy logic.
Prerequisities and Co-requisities Courses
 
Recommended Optional Programme Components
 
Mode Of Delivery
 
Level of Course Unit
 
Assessment Methods and Criteria
ECTS / Table Of Workload (Number of ECTS credits allocated)
Studies During Halfterm
Number
Co-Efficient
Activity
Number
Duration
Total
Visa
1
30
Course Duration (Excluding Exam Week)
14
3
42
Quiz
0
0
Time Of Studying Out Of Class
14
4
56
Homework
0
0
Homeworks
6
3
18
Attendance
0
0
Presentation
0
0
0
Application
0
0
Project
1
10
10
Lab
0
0
Lab Study
0
0
0
Project
1
30
Field Study
0
0
0
Workshop
0
0
Visas
1
20
20
Seminary
0
0
Finals
1
30
30
Field study
0
0
Workload Hour (30)
30
TOTAL
60
Total Work Charge / Hour
176
The ratio of the term to success
60
Course's ECTS Credit
6
The ratio of final to success
40
 
TOTAL
100
 
Recommended or Required Reading
Textbook
Lecture Notes
Additional Resources
- Şen, Z., Bulanık Mantık İlkeleri ve Modelleme, Su Vakfı, 2009.
- Öztemel, E., Yapay Sinir Ağları, Papatya Yayıncılık, 2003.
Material Sharing
Documents
 
Assignments
 
Exams
 
Additional Material
 
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
Work Placements
As with any other educational component, credits for work placements are only awarded when the learning outcomes have been achieved and assessed. If a work placement is part of organised mobility (such as Farabi and Erasmus), the Learning Agreement for the placement should indicate the number of credits to be awarded if the expected learning outcomes are achieved.
Program Learning Outcomes
No
Course's Contribution to Program
Contribution
1
Ability to formulate and solve engineering problems by using mathematics, occupational knowledge and scientific methods.
5