| Course Type | Elective Course |
|---|
| Course Level | Master's Degree Without Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Analyze the historical development of digital transformation and its relationship with industrial revolutions.
- Evaluate the role of current digital technologies (cloud computing, internet of things, big data, etc.) in the context of digital transformation.
- Discuss ethical, leadership, and sustainability issues arising in the digital transformation process from a critical perspective.
- Can analyze the impacts of disruptive technologies on organizations and business models.
- Evaluate technology adoption by examining one of the emerging technologies within the framework of technology adoption models (TAM, UTAUT, TOE, etc.).
- Empirically examine digital technology adoption by collecting data through surveys or interviews.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | |
|---|
| Course Description | This course addresses the digital transformation both from a technological perspective and a holistic standpoint, encompassing its historical, managerial, ethical, sustainability, and strategic dimensions. The aim of the course is to enable students to analyze current digital technologies used in the digital transformation process, evaluate their organizational and societal impacts, and empirically examine adoption processes through technology acceptance models. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction to Digital Transformation |
|
2nd Week |
Technology History I: Industrial Revolutions and Social Transformation |
|
3rd Week |
Technology History II: Evolution of Information Technologies and Digitalization Processes |
|
4th Week |
Technology History III: Data, Automation, and Algorithmic Decision Systems |
|
5th Week |
Theories of Technology Acceptance and Adoption |
|
6th Week |
Project Presentation I: Current Digital Technologies and Case Analysis |
|
7th Week |
Digital Ethics and Responsible Digital Transformation |
|
8th Week |
Midterm Exam |
|
9th Week |
Digital Leadership and Change Management |
|
10th Week |
Digital Transformation and Sustainability |
|
11th Week |
Disruptive Technologies I: Digital Infrastructure and Platform Technologies |
|
12th Week |
Disruptive Technologies II: Artificial Intelligence, Automation, and Decision Technologies |
|
13th Week |
Disruptive Technologies III: Next Generation and Ecosystem-Based Technologies |
|
14th Week |
Project Presentation II: Technology Acceptance Model and Empirical Evaluation |
|
15th Week |
General Review and Holistic Assessment |
|
| Recommended or Required Reading | Lecture Notes
Uysal, H.Tezcan & Aksoy, Cenk & Yilmaz, Fatma. (2020). Dijital Yönetim.
Nagy, S. G., & Stukovszky, T. (Eds.). (2023). Smart Business and Digital Transformation: An Industry 4.0 Perspective. Taylor & Francis. |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Project
- Presentation
- Practice
- Case Study
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Project |
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 |
2 |
2 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
8 |
112 |
| Preparation for Final exam |
1 |
60 |
60 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
8 |
8 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
|
|
|
| Presentation (including preperation) |
1 |
20 |
20 |
| Project |
1 |
30 |
30 |
| Research |
1 |
24 |
24 |
| Total Work Load | 300 |
| Total Work Load / 30 (h) | 10 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
