Information Package / Course Catalogue
| Course Code | : ÜKK152 |
| Course Type | : Area Elective |
| Couse Group | : Short Cycle (Associate's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 1 |
| Prt. | : 2 |
| Credit | : 2 |
| Lab | : 0 |
| ECTS | : 3 |
The objective of this course is to ensure that students gain awareness in optimizing professional workflows, making data-driven decisions, collaborating, and preparing technical documentation by using AI tools and cloud-based environments. Students gain the competence to use applications that increase productivity by supporting technical teams in digital transformation processes.
The course covers AI types, prompt engineering, data analysis, visual/video production, academic and professional writing tools, and cloud computing infrastructures. Over a 14-week period, the course addresses the use of collaboration tools, AI-assisted reporting processes, and the management of cloud-based services through theory and practice.
| 1. | Explains the fundamental concepts, application areas, and operating principles of artificial intelligence and cloud computing technologies. |
| 2. | Uses artificial intelligence tools for research, information gathering, and problem-solving by creating effective prompts for different purposes. |
| 3. | Prepares academic and professional reports, presentations, documents, and content using AI-assisted tools. |
| 4. | Produces visual, video, and animation content using artificial intelligence technologies and evaluates their ethical and reliable use. |
| 5. | Manages data storage, file sharing, collaboration, and AI-supported applications at a fundamental level using cloud computing services. |
| 1. | Çelik, B. (2024). Artificial intelligence: Foundations and application areas. Nobel Academic Publishing. |
| 2. | Özdemir, S. (2023). Cloud computing: Strategies, technologies, and digital transformation. Pusula Publishing. |
| 3. | Yılmaz, A. (2025). Artificial intelligence in the business world: Digital transformation and application guide. Beta Publishing. |
| 4. | Google. (n.d.). Google Digital Garage: Artificial intelligence and digital skills. https://learndigital.withgoogle.com/dijitalatolye |
| 5. | Google. (n.d.). Google Workspace learning center. https://support.google.com/a/users/answer/9248001?hl=tr |
| 6. | OpenAI. (n.d.). OpenAI help center. https://help.openai.com/ |
| 7. | Google. (n.d.). Google Gemini help center. https://gemini.google.com/faq |
| Type of Assessment | Count | Percent |
|---|---|---|
| Assignment | 1 | %10 |
| Term Assignment | 1 | %10 |
| 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 |
| Assignment | 1 | 5 | 0 | 5 |
| Term Project | 1 | 9 | 2 | 11 |
| Midterm Examination | 1 | 5 | 1 | 6 |
| Final Examination | 1 | 10 | 1 | 11 |
| TOTAL WORKLOAD (hours) | 75 | |||
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 | PÇ-14 | PÇ-15 | |
OÇ-1 | 3 | 1 | 1 | 2 | 5 | 3 | 2 | 1 | 2 | 1 | 1 | 2 | 5 | 2 | |
OÇ-2 | 2 | 1 | 1 | 2 | 5 | 2 | 2 | 2 | 5 | 2 | 2 | 4 | 4 | 1 | 4 |
OÇ-3 | 1 | 1 | 1 | 3 | 4 | 3 | 2 | 3 | 2 | 5 | 4 | 3 | 1 | 2 | |
OÇ-4 | 1 | 1 | 1 | 2 | 1 | 3 | 4 | 1 | 5 | ||||||
OÇ-5 | 1 | 2 | 2 | 4 | 5 | 2 | 1 | 2 | 2 | 2 | 3 | 5 | 1 | ||