| Teaching Staff
|
Prof. Dr.Aral.EGE |
| Language of Instruction |
Türkçe (Turkish) |
| Type Of Course |
Elective |
| Prerequisites |
|
| Recommended Optional Programme Component |
There are no additional considerations. |
| Course Objectives |
It is aimed to introduce and use Artificial Intelligence algorithms. |
| Course Content |
The theoretical and practical bases of artificial intelligence, which is gaining importance today, will be examined. |
| Learning Outcomes (LO) |
Various artificial intelligence algorithms, Python language and related parts of its libraries. |
| Mode of Delivery |
Face to face |
| Course Outline |
| Week |
Topics |
| 1. Week |
Giving information about the general structure of the course and explaining what is expected |
| 2. Week |
Artificial intelligence in business systems |
| 3. Week |
Classification of algorithms used in artificial intelligence systems |
| 4. Week |
Watson system architecture |
| 5. Week |
Python and programming environments |
| 6. Week |
Introduction to machine learning |
| 7. Week |
Machine learning elements |
| 8. Week |
Example application I |
| 9. Week |
Example application II |
| 10. Week |
Regression |
| 11. Week |
Linear regression models |
| 12. Week |
Other regression models |
| 13. Week |
Support Vector Machines |
| 14. Week |
decision trees |
|
| Assessment |
| |
Percentage(%) |
| Mid-term (%) |
40 |
| Quizes (%) |
|
| Homeworks/Term papers (%) |
20 |
| Practice (%) |
|
| Labs (%) |
|
| Projects/Field Work (%) |
|
| Seminars/Workshops (%) |
|
| Final (%) |
40 |
| Other (%) |
|
| Total(%) |
100 |
|
| Course Book (s) and/or References |
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurelien Geron |
| Work Placement(s) |
|
| The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
| | PQ1 | PQ2 | PQ3 | PQ4 | PQ5 | PQ6 | PQ7 | PQ8 | PQ9 | PQ10 | PQ11 | PQ12 | PQ13 | PQ14 | LO1 | 5 | | 3 | 2 | | 2 | 5 | | | | | | | | LO2 | 5 | | | | | | | | | | | 2 | | | LO3 | 5 | | | | | | | | 1 | | | | | | LO4 | 5 | | | 4 | | | | 3 | | | | | | |
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |