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Programme |
Graduate School of Natural and Applied Sciences Civil Engineering |
Course Information |
Course Unit Code | Course Unit Title | | 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
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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 |