
| Course Code | : MVU117 |
| Course Type | : Required |
| Couse Group | : Short Cycle (Associate's Degree) |
| Education Language | : Turkish |
| Work Placement | : No |
| Theory | : 2 |
| Prt. | : 0 |
| Credit | : 2 |
| Lab | : 0 |
| ECTS | : 2 |
The aim of this course is to enable students to acquire fundamental knowledge and skills regarding the use of artificial intelligence technologies in accounting, to become familiar with AI-based applications used in accounting processes, to evaluate the impact of digital transformation on the accounting profession, and to use AI-supported tools ethically, safely, and effectively.
The course covers the concepts and fundamental technologies of artificial intelligence, the changing role of the accounting profession in the digital transformation process, and the application areas of artificial intelligence in accounting. It also addresses the use of generative AI tools, document processing and data analysis, AI applications in financial reporting, auditing, and taxation, AI-supported solutions in accounting software, big data analytics and predictive analysis, decision support systems, robotic process automation (RPA), as well as ethical issues, data security, and the protection of personal data. In addition, students will develop practical applications related to accounting processes using current AI tools through case studies and hands-on activities.
| 1. | This course explains the fundamental concepts, components, and applications of artificial intelligence (AI) technologies in accounting. |
| 2. | It defines and describes the functions of AI applications used in accounting, financial reporting, auditing, and tax processes. |
| 3. | It explains the characteristics, purposes, and potential contributions of generative AI tools used in accounting. |
| 4. | It evaluates the role of AI-powered data analysis, reporting, and decision support systems in accounting processes. |
| 5. | It assesses AI applications from the perspectives of ethical principles, information security, personal data protection, and professional responsibility. |
| 1. | Accounting Information Systems – Marshall B. Romney & Paul John Steinbart |
| 2. | Lecture Notes, Online Resources |
| Type of Assessment | Count | Percent |
|---|---|---|
| Attending Lectures | 1 | %10 |
| Quiz | 1 | %10 |
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 2 | 28 |
| Individual Work | 1 | 2 | 0 | 2 |
| Quiz | 2 | 2 | 1 | 6 |
| Midterm Examination | 1 | 5 | 1 | 6 |
| Final Examination | 1 | 5 | 1 | 6 |
| TOTAL WORKLOAD (hours) | 48 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | |
OÇ-1 | 2 | 5 | 3 | 2 | 4 | 2 | 3 | 2 | 2 | |
OÇ-2 | 2 | 5 | 4 | 5 | 5 | 3 | 2 | 4 | 2 | 2 |
OÇ-3 | 2 | 4 | 3 | 2 | 5 | 3 | 2 | 4 | 3 | 2 |
OÇ-4 | 2 | 4 | 4 | 4 | 5 | 5 | 2 | 5 | 3 | 3 |
OÇ-5 | 5 | 3 | 4 | 2 | 4 | 3 | 2 | 3 | 2 | 3 |