| Course Type | Elective Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 5 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Understand the developing technologies in the field of accounting and finance,
- Explain how blockchain technology can be used in the field of accounting and auditing,
- Explain how blockchain technology can be used in finance,
- Explains digital assets such as NFT, coins and tokens and their purpose of use,
- Explain the usage areas of cloud computing and big data analysis in accounting and finance,
- Understands the role of cloud computing and big data analysis competencies in accounting and finance expertise,
- Understands the use of artificial intelligence and machine learning technologies in accounting and finance,
- Explains data analytics and tools in digital accounting and finance applications,
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | |
|---|
| Course Description | Understanding the language of digital accounting and finance within the framework of the use of digital tools in accounting and finance applications developed within the framework of the transformation in information communication technologies, the functioning of existing systems, the functions and use of developing digital tools and applications constitute the content of the course.
Students who miss more than 30% of total class hours receive an F2 grade. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction |
|
2nd Week |
History of Money |
|
3rd Week |
Blockchain Fundamentals |
|
4th Week |
Cryptocurrencies & Tokenomics |
|
5th Week |
Infrastructure, Exchanges & Rug Pulls |
|
6th Week |
Midterm |
|
7th Week |
Blockchain Beyond Money |
|
8th Week |
Presentations 1 |
|
9th Week |
Presentations 2 |
|
10th Week |
NFTs and Tokenization |
|
11th Week |
Financial Candlesticks and Technical Analysis |
|
12th Week |
Probability and Statistics Theorems for Investors |
|
13th Week |
Summary |
|
14th Week |
Mock Exam |
|
| Recommended or Required Reading | - Bhimani, A. (2021), Accounting Disrupted: How Digitalization is Changing Finance, John Wiley & Sons.
- Hacioglu, U. (2020), Digital Business Strategies in Blockchain Ecosystems, Springer.
|
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Questions/Answers
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Project |
1 |
25 |
| Attendance |
1 |
50 |
| Total(%) |
|
75 |
| Contribution of In-term Studies to Overall Grade(%) |
|
75 |
| Contribution of Final Examination to Overall Grade(%) |
|
25 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
1 |
14 |
| Preparation for Final exam |
1 |
35 |
35 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
25 |
25 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
1 |
30 |
30 |
| Total Work Load | 150 |
| Total Work Load / 30 (h) | 5 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | English |
|---|
| Work Placement(s) | No |
|---|
