of0
SDÜ Education Information System Course Content
Programme
Graduate School of Natural and Applied Sciences Civil Engineering
Course Information
Course Unit Code
Course Unit Title
Credit Theoretic
Credit Pratic
Credit Lab/A
Credit Total
Credit Ects
Semester
01INS6130
Adaptive Neuro-Fuzzy Inference System (ANFIS)
3.00
0.00
0.00
3.00
6.00
1
Course Information
Language of Instruction
Turkish
Type of Course Unit
Elective
Course Coordinator
Professor Serdal TERZĘ
Course Instructors
1-Serdal Terzi
Course Assistants
 
Course Aims
Modeling of engineering problems by using the ANFIS method
Course Goals
To have basic knowledge about artificial intelligence
In general, the rule of recognition and to gain information about artificial intelligence methods
To have basic information about the Fuzzy Logic
To ability of ANFIS method and modeling
To doing a modeling example to compare with real data
Learning Outcomes of The Course Unit
Have basic knowledge about artificial intelligence
In general, the rule of recognition and gain information about artificial intelligence methods
Have basic information about the Fuzzy Logic
Ability of ANFIS method and modeling
By doing a modeling example to compare with real data
Course Contents
Introduction, fuzzy sets, classical sets, fuzzy sets of operations, fuzzy arithmetic, fuzzy relations, fuzzy relation equations, probability theory, fuzzy logic, uncertainty-based information. Fuzzification / clarification, the rule base, the basic interpretation algorithms, ANFIS modeling.
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
50
Course Duration (Excluding Exam Week)
14
3
42
Quiz
0
0
Time Of Studying Out Of Class
14
6
84
Homework
2
50
Homeworks
2
10
20
Attendance
0
0
Presentation
2
2
4
Application
0
0
Project
0
0
0
Lab
0
0
Lab Study
0
0
0
Project
0
0
Field Study
0
0
0
Workshop
0
0
Visas
1
8
8
Seminary
0
0
Finals
1
8
8
Field study
0
0
Workload Hour (30)
30
TOTAL
100
Total Work Charge / Hour
166
The ratio of the term to success
40
Course's ECTS Credit
6
The ratio of final to success
60
 
TOTAL
100
 
Recommended or Required Reading
Textbook
 
Additional Resources
 
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
An ability to design, conduct laboratory experiments and analyze and interpret data, in one of the major civil engineering areas
0