
| Course Code | : YENT183 |
| Course Type | : Area Elective |
| Couse Group | : Short Cycle (Associate's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 2 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 2 |
This course aims to equip students with the skills to use computer technologies and artificial intelligence tools to analyze big data obtained from renewable energy facilities and to optimize system performance.
Determining research subjects, doing research on resources, evaluation of research results, reporting research results, preparing presentations, presentation.
| 1. | Defines computer technologies and the basic principles of artificial intelligence algorithms used in renewable energy systems. |
| 2. | Performs data preprocessing steps by collecting production and meteorological data obtained from energy facilities. |
| 3. | Monitors the performance of renewable energy system components with artificial intelligence tools and evaluates system efficiency. |
| 4. | Acts in accordance with data privacy, cybersecurity, and engineering ethics rules when using artificial intelligence-based software. |
| 5. | Takes responsibility in interdisciplinary teamwork to solve complex optimization problems in energy systems. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Attending Lectures | 1 | %5 |
| Quiz | 1 | %15 |
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 1 | 14 |
| Lecture - Practice | 14 | 0 | 2 | 28 |
| Individual Work | 1 | 1 | 1 | 2 |
| Quiz | 1 | 1 | 1 | 2 |
| Midterm Examination | 1 | 1 | 1 | 2 |
| Final Examination | 1 | 1 | 1 | 2 |
| TOTAL WORKLOAD (hours) | 50 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | |
OÇ-1 | 4 | 4 | |||||||||
OÇ-2 | 4 | 4 | |||||||||
OÇ-3 | 4 | 4 | |||||||||
OÇ-4 | 4 | 4 | 5 | ||||||||
OÇ-5 | 4 | 4 | 5 | ||||||||