Information Package / Course Catalogue
| Course Code | : İKT416 |
| 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 objective of this course is to enable students to identify investment instruments in digital financial markets, interpret financial data, effectively use digital investment platforms, and analyze investment decisions from a risk-return perspective. Within the scope of the course, students are expected to understand the digital investment environment, compare investment instruments, evaluate portfolio performance, analyze mutual funds and BES funds, critically examine digital investment applications, and assess ethical and regulatory considerations. Translated with DeepL.com (free version)
The Digital Investment Analysis course covers the structure of digital financial markets, digital investment instruments, financial data literacy, risk-return analysis, stock and fund analysis, BES funds, technical analysis, macroeconomic indicators, crypto assets, robo-advisory, algorithmic investing, digital portfolio management, ethics, security, and regulation. As part of the course, students learn to analyze stocks, investment funds, BES funds, commodities, foreign exchange, and crypto assets through digital investment platforms. They also learn to relate factors such as portfolio diversification, investor profile, management fees, fund performance, volatility, technical indicators, and macroeconomic data to their investment decisions. By the end of the course, students are expected to be able to compare digital investment tools, perform basic portfolio analysis, evaluate opportunities and risks in the digital investment environment, and report on their investment analyses. Translated with DeepL.com (free version)
| 1. | Can explain how digital financial markets operate and the basic characteristics of digital investment instruments. |
| 2. | Can compare investment instruments such as stocks, mutual funds, BES funds, commodities, foreign exchange, and crypto assets in terms of their risk-return characteristics. |
| 3. | Can identify financial data sources used in digital investment decisions and evaluate data reliability. |
| 4. | Can relate the concepts of risk, return, volatility, diversification, and portfolio management to digital investment decisions. |
| 5. | Can analyze the performance of stocks, mutual funds, and BES funds using key indicators on digital platforms. |
| 6. | Can interpret technical analysis indicators and macroeconomic data in the context of investment decisions. |
| 7. | Can critically evaluate the opportunities and limitations offered by robo-advisors, algorithmic investing, and digital investment platforms. |
| 8. | Can analyze issues such as ethics, information security, social media manipulation, and regulation in the digital investment environment from an investor’s perspective. |
| 9. | Can design a digital portfolio consisting of various investment instruments and evaluate the portfolio’s risk-return balance. |
| 10. | Can professionally present findings related to digital investment analysis in the form of written reports and oral presentations. |
| 1. | Mehmet Baha Karan — Investment Analysis and Portfolio Management, Karan, M. B. Investment Analysis and Portfolio Management. Ankara: Gazi Kitabevi. |
| 2. | Zvi Bodie, Alex Kane, Alan J. Marcus — Investments, Bodie, Z., Kane, A., & Marcus, A. J. Investments. New York: McGraw-Hill Education. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Presentation | 1 | %10 |
| Assignment | 1 | %10 |
| Quiz | 1 | %10 |
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %50 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 2 | 2 | 27 | 58 |
| Lecture - Practice | 1 | 0 | 15 | 15 |
| Assignment | 1 | 1 | 3 | 4 |
| Project | 1 | 0 | 10 | 10 |
| Presentation | 1 | 0 | 10 | 10 |
| Quiz | 1 | 2 | 10 | 12 |
| Midterm Examination | 1 | 0 | 10 | 10 |
| Final Examination | 1 | 0 | 10 | 10 |
| TOTAL WORKLOAD (hours) | 129 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | |
OÇ-1 | 4 | 5 | 4 | 5 | 5 | 3 | 5 | 5 | 5 |
OÇ-2 | 4 | 4 | 3 | 4 | 5 | 4 | 5 | 4 | 4 |
OÇ-3 | 4 | 4 | 5 | 4 | 5 | 4 | 5 | 5 | 3 |
OÇ-4 | 3 | 4 | 3 | 4 | 5 | 5 | 3 | 5 | 3 |
OÇ-5 | 5 | 4 | 4 | 4 | 4 | 5 | 5 | 4 | 5 |
OÇ-6 | 5 | 5 | 5 | 3 | 5 | 3 | 5 | 5 | 3 |
OÇ-7 | 5 | 5 | 5 | 4 | 4 | 4 | 3 | 5 | 4 |
OÇ-8 | 4 | 5 | 5 | 5 | 5 | 5 | 3 | 3 | 4 |
OÇ-9 | 4 | 4 | 4 | 5 | 5 | 5 | 5 | 5 | 5 |
OÇ-10 | 5 | 5 | 5 | 5 | 4 | 4 | 4 | 4 | 5 |