Information Package / Course Catalogue
| Course Code | : ECON327 |
| Course Type | : Area 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 equip students with the skills to obtain economic indicators from reliable data sources (TurkStat, CBRT, World Bank, Eurostat, OECD, etc.), clean, organize and visualize raw data in Excel, and transform analytical findings into professional reports applicable in the business world. The course also develops students’ ability to critically and effectively use generative AI tools (ChatGPT, Claude, etc.) in data analysis workflows. By connecting theoretical economics knowledge with real data, students are prepared for the data analysis and reporting processes they will frequently encounter in the business world.
In this course, students practically engage with the following topics: identifying economic data sources and downloading data, cleaning and organizing data with Excel, creating charts and visualizations, generating formulas and interpreting data with AI assistance, and writing economics reports for business audiences.
| 1. | Downloads economic data from reliable sources, recognizes file formats, and cleans and organizes raw data in Excel. |
| 2. | Uses Excel's core functions and AI tools functionally in economic data analysis. |
| 3. | Presents economic indicators with appropriate charts and visuals for the target audience; generates AI-assisted reports. |
| 4. | Applies the structure and writing principles of economic reports for business audiences, preparing documents that include executive summary, findings and recommendations sections. |
| 5. | Prepares and orally presents a full-cycle analysis project covering data collection, cleaning, visualization and reporting using real economic data. |
| 1. | Gökçearslan, Ş. ve Yıldız Durak, H. (2024). Yapay Zekâ Okuryazarlığı, Nobel Akademik Yayıncılık |
| 2. | Çekici, H. M. Ve Sidal, L. Z. (2026). Yönetim, Yapay Zekâ Kullanımı ve Raporlama. Scala Yayıncılık. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Attending Lectures | 1 | %15 |
| Assignment | 1 | %10 |
| Quiz | 1 | %15 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 3 | 3 | 84 |
| Assignment | 1 | 5 | 3 | 8 |
| Presentation | 1 | 10 | 1 | 11 |
| Quiz | 1 | 5 | 1 | 6 |
| Final Examination | 1 | 10 | 3 | 13 |
| 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 | |
OÇ-1 | 1 | 1 | 1 | 1 | 5 | 4 | 5 | 5 | 3 | 3 | 4 | 3 |
OÇ-2 | 1 | 1 | 1 | 1 | 5 | 4 | 5 | 5 | 3 | 3 | 4 | 3 |
OÇ-3 | 1 | 1 | 1 | 1 | 5 | 4 | 5 | 5 | 3 | 3 | 4 | 3 |
OÇ-4 | 1 | 1 | 1 | 1 | 5 | 4 | 5 | 5 | 3 | 3 | 4 | 3 |
OÇ-5 | 1 | 1 | 1 | 1 | 5 | 4 | 5 | 5 | 3 | 3 | 4 | 3 |