Information Package / Course Catalogue
| Course Code | : ÜKK250 |
| Course Type | : Required |
| Couse Group | : Short Cycle (Associate's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 1 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 3 |
The objective of this course is to ensure that students grasp the digital transformation of modern production systems, data-driven production management processes, smart factory architectures, and the roles of digital technologies (Artificial Intelligence, IoT, Digital Twin) within this ecosystem. Students gain the vision to contribute to productivity and continuous improvement processes as part of a technical team in a digital manufacturing environment.
The course starts with Industry 4.0 concepts and the fundamentals of digitalization, covering data communication, IoT, enterprise software (MES, ERP, PLM), AI-assisted manufacturing, digital twin applications, and autonomous systems. Over a 14-week period, theoretical foundations, smart factory components, and a productivity-focused continuous improvement culture in digital manufacturing are addressed.
| 1. | Grasps Industry 4.0 components, smart factory elements, and the importance of digitalization to gain professional vision. |
| 2. | Gains awareness regarding the role of data transmission protocols and IoT architectures used in production systems within smart factories. |
| 3. | Grasps the operations of digital integration processes of MES, ERP, and PLM systems and contributes to the process as a member of the technical team. |
| 4. | Analyzes the potential of Artificial Intelligence algorithms in applications such as predictive maintenance and fault detection to support the team in process improvement initiatives. |
| 5. | Monitors the impact of digital twin and data analytics applications on production efficiency and contributes to the culture of continuous improvement in smart factories. |
| 1. | Akgün, M., & Yıldız, A. (2021). Industry 4.0 and Smart Manufacturing Systems. Nobel |
| 2. | Efil, İ. (2020). Industry 4.0 and Digital Transformation. Dora |
| 3. | Köksal, G. (Ed.). (2022). Digital Transformation and Manufacturing Systems. Nobel |
| 4. | Yıldız, M. S. (2021). Manufacturing Information Systems and Digital Factories. Nobel |
| 5. | Alpaydın, E. (2021). Machine Learning. Boğaziçi Üniversitesi |
| 6. | Özdemir, A., & Kumru, M. (2022). Digital Twin Technology and Industrial Applications. Nobel |
| Type of Assessment | Count | Percent |
|---|---|---|
| Assignment | 1 | %10 |
| Term Assignment | 1 | %10 |
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 2 | 28 |
| Lecture - Practice | 14 | 0 | 1 | 14 |
| Assignment | 1 | 5 | 0 | 5 |
| Term Project | 1 | 10 | 2 | 12 |
| Midterm Examination | 1 | 6 | 1 | 7 |
| Final Examination | 1 | 8 | 1 | 9 |
| TOTAL WORKLOAD (hours) | 75 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | PÇ-14 | PÇ-15 | |
OÇ-1 | 4 | 3 | 3 | 2 | 4 | 3 | 3 | 2 | 5 | ||||||
OÇ-2 | 3 | 2 | 3 | 4 | 4 | 4 | 3 | 2 | 5 | ||||||
OÇ-3 | 3 | 3 | 2 | 4 | 5 | 4 | 4 | 3 | 2 | 3 | 3 | 4 | 2 | ||
OÇ-4 | 3 | 2 | 3 | 5 | 3 | 3 | 5 | 2 | 3 | 5 | 4 | ||||
OÇ-5 | 3 | 2 | 3 | 5 | 4 | 4 | 5 | 2 | 4 | 5 | 3 | 4 | |||