Information Package / Course Catalogue
| Course Code | : İLT313 |
| Course Type | : Non Departmental Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 5 |
The aim of this course is to introduce the fundamental principles of artificial intelligence and provide students with an understanding of key components such as algorithms, machine learning, data processing, and decision-making systems. The course also aims to raise general awareness of AI applications across various domains.
This course covers the basic concepts, historical development, and current application areas of artificial intelligence. Students will gain foundational knowledge in problem-solving, knowledge representation, learning algorithms, machine learning, natural language processing, expert systems, and ethical considerations. The course also includes case studies of AI applications in sectors such as healthcare, transportation, media, and finance.
| 1. | Explains the basic concepts, approaches, and history of AI and relates them to digital media content production. |
| 2. | Identifies core AI components and applies them to the analysis of audiovisual content. |
| 3. | Applies search algorithms and knowledge representation techniques to script structure, editing plans, or scene design |
| 4. | Utilizes machine learning and NLP for automatic subtitle creation, content tagging, or audience analysis. |
| 5. | Critically evaluates the impact of AI technologies on ethical, cultural, and creative processes in the field of media. |
| 1. | Nevzat Tarhan (2020) Yapay Zeka ve İnsan Timaş Yayınları. |
| 2. | Günay, Mehmet Akif. (Ed.). (2023). İletişim Bilimlerinde Yapay Zekâ. Eğitim Yayınevi. |
| 3. | Stuart Russell & Peter Norvig (2021) Artificial Intelligence: A Modern Approach (4th Edition) Pearson. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Attending Lectures | 5 | %5 |
| Quiz | 1 | %10 |
| Midterm Examination | 1 | %25 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 2 | 3 | 70 |
| Reading | 5 | 0 | 1 | 5 |
| Quiz | 1 | 0 | 0 | 0 |
| Midterm Examination | 1 | 20 | 1 | 21 |
| Final Examination | 1 | 25 | 1 | 26 |
| TOTAL WORKLOAD (hours) | 122 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | |
OÇ-1 | 4 | 5 | 4 | ||||||||||
OÇ-2 | 4 | 5 | 4 | ||||||||||
OÇ-3 | 5 | 5 | |||||||||||
OÇ-4 | 4 | 5 | 5 | 4 | 4 | ||||||||
OÇ-5 | 4 | 4 | 4 | 5 | 5 | 5 | 4 | ||||||