Electrical and Computer Engineering Graduate With Thesis
Course Details

KTO KARATAY UNIVERSITY
Graduate Education Institute
Programme of Electrical and Computer Engineering Graduate With Thesis
Course Details
Graduate Education Institute
Programme of Electrical and Computer Engineering Graduate With Thesis
Course Details

| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 80511113 | Expert Systems | 2023 | Autumn | 1 | 3+0+0 | 7,5 | 7,5 |
| Course Type | Elective |
| Course Cycle | Master's (Second Cycle) (TQF-HE: Level 7 / QF-EHEA: Level 2 / EQF-LLL: Level 7) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | - |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| NOVRUZ ALLAHVERDI | - |
Course Content
1-Artificial Intelligence definitions. Definition of Expert System (ES) and its difference from traditional programs.
Objectives of the Course
Learning how to Design a Fuzzy Expert System
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Description of Artificial Intelligence |
| 2 | Description of ES. |
| 3 | Knowladge Presantation. |
| 4 | Methods of Presantation of Knowladge. |
| 5 | Methods of Presantation of Knowladge. |
| 6 | Examples of Design of ES. |
| 7 | Examples of Design of ES. |
| 8 | Midterm Exam |
| 9 | Application of ES in Medicine. |
| 10 | Application of ES in Chemistry. |
| 11 | Application of ES in Agriculture. |
| 12 | Application of ES in Industry. |
| 13 | Application of ES in Industry. |
| 14 | Presantati,on of Final Project. |
Textbook or Material
| Resources | Uzman Sistemler. Bir Yapay Zeka Uygulaması. Novruz Allahverdi, 2002, Atlas. |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 0 | 0 | 0 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 0 | 0 | 0 |
| Midterms | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 0 | 0 | 0 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 0 | ||
| Total Work Load / 30 | 0 | ||
| Course ECTS Credits: | 0 | ||
