| 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;
- Explain and discuss the importance of Industry 4.0, its distinctive features, general stages and differences from other industrial revolutions.
- Discuss the basic properties of Industry 4.0 components and make comparisons among these components.
- Evaluate the importance, elements, positive and negative effects of Industry 4.0 components (big data, robotics technologies, cloud computing technologies and internet of objects).
- Evaluate the reflections of Industry 4.0 practices in the business ethics dimension and develop a critical perspective towards these practices.
- Aware of the role, priorities, strategies and possible action plans of the public sector within the context of Industry 4.0.
- Compare and evaluate the practices of Industry 4.0 in different sectors.
|
| Mode of Delivery | Face to face |
| Prerequisites | No |
| Recommended Optional Programme Components | MAN443 MANAGEMENT INFORMATION SYSTEMS
MAN490 ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN BUSINESS AND MANAGEMENT |
| Course Description | In recent years, there have been significant developments in manufacturing processes thanks to the studies in the fields of the internet of objects, robotics and big data analysis and the solutions brought by these studies. With the emergence of such smart systems, the concept of 4.0 Industry 4.0 has come into our lives. The aim of Industry 4.0 is to provide physical support of manpower by following the processes with cyber-physical systems, to create virtual factory environments and to ensure that decentralized collaborative decisions can be made through the communication of things with each other and with people. In this sense, it is aimed that students have knowledge about Industry 4.0 in line with current developments.
Students who miss more than 30% of total class hours receive an F2 grade. |
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction to Industry Revolutions and Industry 4.0 |
|
2nd Week |
Overview of Industry 4.0 Components |
|
3rd Week |
Industry 4.0 and Artificial Intelligence |
|
4th Week |
Industry 4.0 and Big Data |
|
5th Week |
Industry 4.0 and Robotics Technologies |
|
6th Week |
Industry 4.0 and Cloud Computing Technologies |
|
7th Week |
Midterm |
|
8th Week |
Industry 4.0 and Ethics |
|
9th Week |
Industry 4.0 and Internet of Things |
|
10th Week |
Industry 4.0 and Public Sector |
|
11th Week |
Industry 4.0 and Its reflections to business world |
|
12th Week |
Industry 4.0 and Its practices in different sectors |
|
13th Week |
Industry 4.0 and Its practices in different sectors (continued) |
|
14th Week |
Industry 4.0 and Its practices in different sectors (continued) |
|
| Recommended or Required Reading | Devezas, T., & Sarygulov, A. (2017). Industry 4.0. Springer.
Özdoğan, O. (2017). Endüstri 4.0: Dördüncü Sanayi Devrimi ve Endüstriyel Dönüşümün Anahtarları. Pusula.
|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Case Study
- Project
- Presentation
|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Practice |
1 |
20 |
| Project |
1 |
30 |
| Total(%) |
|
50 |
| Contribution of In-term Studies to Overall Grade(%) |
|
50 |
| Contribution of Final Examination to Overall Grade(%) |
|
50 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
|
|
|
| Preparation for Quiz |
|
|
|
| Individual or group work |
1 |
14 |
14 |
| Preparation for Final exam |
1 |
30 |
30 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
|
|
|
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
|
|
|
| Project |
2 |
30 |
60 |
| Total Work Load | 148 |
| Total Work Load / 30 (h) | 4.93 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | Turkish |
| Work Placement(s) | No |