| Course Objectives: |
The transformation, which is also described as the Fourth Industrial Revolution, takes place with the combination of many physical and digital technologies. Regardless of the triggering technological tools, the main purpose of industrial transformations is to increase resource efficiency and effectiveness and to increase the competitiveness of companies. The difference of this transformation we are experiencing is that it not only provides change in basic business processes, but also reveals smart and connected product concepts and presents new business models that generate income-generating and service-based business. The aim of this course is to teach Industry 4.0 design principles and conceptual frameworks, as autonomous robots, artificial intelligence, big data, augmented reality, additive manufacturing, internet of things, cloud computing, cyber security technologies. |
| Course Content: |
Industrial Development; Industry 4.0 and Components, Smart Factories; Digital Transformation in Industry; Lights out Production with Lights out Factories; Big Data and Analytics; Autonomous Robots; Augmented Reality; Cyber Physical Systems and Simulation, Cyber Security; Industry 4.0 and System Integration; Internet of Things (IoT), Industrial Internet of Things (IIoT); Additive Manufacturing and 3D Printers; New Professions to Come with Industry 4.0, Professions to be Defeated in Automation; Artificial Intelligence. |
Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:
| Week |
Subject |
Materials Sharing * |
|
Related Preparation |
Further Study |
| 1) |
Industrial Development |
|
|
| 2) |
Industry 4.0 and Components |
|
|
| 3) |
Smart Factories |
|
|
| 4) |
Digital Transformation in Industry |
|
|
| 5) |
Lights out Production with Lights out Factories |
|
|
| 6) |
Big Data and Analytics |
|
|
| 7) |
Autonomous Robots |
|
|
| 8) |
Midterm |
|
|
| 9) |
Augmented Reality |
|
|
| 10) |
Cyber Physical Systems and Simulation, Cyber Security |
|
|
| 11) |
Industry 4.0 and System Integration |
|
|
| 12) |
Internet of Things (IoT), Industrial Internet of Things (IIoT) |
|
|
| 13) |
Additive Manufacturing and 3D Printers |
|
|
| 14) |
New Professions to Come with Industry 4.0, Professions to be Defeated in Automation |
|
|
| 15) |
Final Exam |
|
|
| |
Programme Learning Outcomes |
Contribution Level (from 1 to 5) |
| 1) |
Can explain the basic concepts and processes of logistics and supply chain management, as well as the roles and responsibilities of stakeholders in the supply chain. |
|
| 2) |
Can apply basic logistics operations such as warehouse management, order processing, transportation, packaging, and labeling. |
|
| 3) |
Can apply basic knowledge of foreign trade, marketing, and customs regulations in foreign trade processes. |
|
| 4) |
Can explain and exemplify basic economic indicators affecting the internal and external environment of logistics enterprises. |
|
| 5) |
Can solve basic operational problems encountered in logistics processes. |
|
| 6) |
Can use basic information technologies and theoretical knowledge used in logistics activities in appropriate processes. |
|
| 7) |
Can apply the knowledge and experience gained during workplace training in professional practice. |
|
| 8) |
Can explain and apply ethical principles, social responsibility awareness, labor law, and occupational health and safety regulations in professional practice. |
|
| 9) |
Can explain the basic principles of sustainability and green logistics practices and provide examples of these practices. |
|
| 10) |
Can apply basic communication methods in teamwork and professional communication processes. |
|
| 11) |
Can communicate effectively in written and spoken English on topics related to their field, with at least an A2 level of proficiency according to the Common European Framework of Reference for Languages (CEFR). |
|
| WORKLOAD OF TEACHING & LEARNING ACTIVITIES |
| Teaching & Learning Activities |
# of Activities per semester |
Duration (hour) |
Total Workload |
| Course |
14 |
2 |
28 |
| Laboratory |
0 |
0 |
0 |
| Application |
0 |
0 |
0 |
| Special Course Internship (Work Placement) |
0 |
0 |
0 |
| Field Work |
0 |
0 |
0 |
| Study Hours Out of Class |
0 |
0 |
0 |
| Presentations / Seminar |
1 |
20 |
20 |
| Project |
0 |
0 |
0 |
| Homework Assignments |
0 |
0 |
0 |
| Total Workload of Teaching & Learning Activities |
- |
- |
48 |
| WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES |
| Assesment & Evaluation Activities |
# of Activities per semester |
Duration (hour) |
Total Workload |
| Quizzes |
3 |
3 |
9 |
| Midterms |
1 |
6 |
6 |
| Semester Final Exam |
1 |
12 |
12 |
| Total Workload of Assesment & Evaluation Activities |
- |
- |
27 |
| TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities) |
75 |
| ECTS CREDITS OF THE COURSE (Total Workload/25.5 h) |
3 |