| Course Type | Elective Course |
|---|
| Course Level | Associate Degree |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 4 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Explain the concepts of digitalization and digital transformation, and describe the importance of 21st-century skills and digital literacy for businesses.
- Analyze digital transformation processes, digital business models, and digital business practices in enterprises.
- Evaluate data-driven decision-making processes and the effects of automation systems on business processes.
- Explain the concept and development of artificial intelligence, and recognize the basic functioning, areas of use, and limitations of generative AI.
- Explain, through examples, artificial intelligence applications in marketing, human resources, finance, and operations management.
- Explain the competitive advantages that digital transformation provides to businesses, and demonstrate awareness of ethics, data security, personal data protection, and copyright.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | This course covers the concept of digitalisation, digital transformation processes, digital business models, data-driven decision-making processes, artificial intelligence technologies, automation systems and the applications of artificial intelligence in businesses. Furthermore, the course covers AI-supported systems used in marketing, customer relationship management, human resources, finance and operations management, as well as the competitive advantages that digital transformation brings to organisations, alongside issues relating to ethics, security and data management. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
The Concept of Digitalization and Digital Transformation |
|
2nd Week |
Digital Transformation Processes in Enterprises and 21st-Century Skills |
|
3rd Week |
Digital Business Models and Digital Entrepreneurship |
|
4th Week |
Data-Driven Decision-Making Processes |
|
5th Week |
The Concept of Artificial Intelligence and the Development of AI Technologies |
|
6th Week |
Areas of Use of Artificial Intelligence in Enterprises: The Role of AI in People, Business, and Management |
|
7th Week |
Automation Systems and the Effects of Digitalization on Business Processes |
|
8th Week |
Midterm Exam |
|
9th Week |
Artificial Intelligence Applications in Marketing and Customer Relationship Management |
|
10th Week |
Digitalization and Artificial Intelligence in Human Resources Management |
|
11th Week |
Artificial Intelligence Applications in Finance and Operations Management |
|
12th Week |
Competitive Advantages of Digital Transformation for Enterprises Ethics, Security, and Data Management in Digitalization Processes |
|
13th Week |
General Review |
|
| Recommended or Required Reading | İş'te Dinamizm: Dijitalleşen Dünyada Yeni Nesil Yönetim Özgür Yayınları. |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Discussion
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
1 |
30 |
| Total(%) |
|
60 |
| Contribution of In-term Studies to Overall Grade(%) |
|
60 |
| Contribution of Final Examination to Overall Grade(%) |
|
40 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
1 |
1 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
1 |
14 |
| Preparation for Final exam |
1 |
40 |
40 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
30 |
30 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
1 |
1 |
| Homework |
1 |
14 |
14 |
| Total Work Load | 142 |
| Total Work Load / 30 (h) | 4.73 |
| ECTS Credit of the Course | 4 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
