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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
01INS6143
The Applications of Artificial Intelligence
3.00
0.00
0.00
3.00
6.00
1
Course Information
Language of Instruction
Turkish
Type of Course Unit
Required
Course Coordinator
Assistant Professor Dr. Emine Dilek TAYLAN
Course Instructors
3-Emine Dilek Taylan
Course Assistants
 
Course Aims
to simulate the intelligence with softwares or integrated
Course Goals
To realize general structure of artificial intelligence, artificial neural networks, expert systems, genetic algorithms, fuzzy logic and to practise applications of this methods.
Learning Outcomes of The Course Unit
1. To uderstand general structure of Artificial intelligence
2. To learn artificial neural Networks
3. To learn expert systems
4. To learn genetic algorithms
5. To learn fuzzy logic
Course Contents
the basic concepts and techniques of artificial intelligence, expert systems, rule-based systems, machine learning and artificial neural networks, genetic algorithms
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
2
28
Homework
2
50
Homeworks
2
5
10
Attendance
0
0
Presentation
1
4
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
2
2
Seminary
0
0
Finals
1
2
2
Field study
0
0
Workload Hour (30)
30
TOTAL
100
Total Work Charge / Hour
 
The ratio of the term to success
40
Course's ECTS Credit
 
The ratio of final to success
60
 
TOTAL
100
 
Recommended or Required Reading
Textbook
1. The Applications of Artificial Intelligence, Çetin Elmas, Seçkin Yayınları, Ankara, 2007
2. The principles of Artificial Neural Networks, Zekai Şen, Su Vakfı Yayınları, İstanbul, 2004
3. The Principles of Fuzzy Logic and Modelling, Zekai Şen, Bilge Kültür Sanat, İstanbul, 2001
4. The Genetic Algorithms and The Optimization Methods, Zekai Şen, Su Vakfı Yayınları, İstanbul, 2004
Additional Resources
-
Material Sharing
Documents
-
Assignments
1 - A field study on Artificial Neural Networks
2 - A field study on Fuzzy Logic
Exams
Midterm Exam
Final exam
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
5