| 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 define the basic concepts of aviation and aircraft structures/systems. |
|
| 2) |
Can explain the fundamental concepts of aviation and its historical development. |
|
| 3) |
Can use professional English in both oral and written communication within the international aviation environment. |
|
| 4) |
Can classify dangerous goods in accordance with relevant standards and evaluate their impacts on cabin safety. |
|
| 5) |
Can explain the basic principles of national and international aviation law. |
|
| 6) |
Can provide first aid in compliance with international regulations for health problems occurring during flights. |
|
| 7) |
Can establish effective communication with all crew members during flights and carry out task sharing. |
|
| 8) |
Can explain national and international regulations on flight, duty, and rest periods. |
|
| 9) |
Can anticipate operational risks and apply aviation safety procedures. |
|
| 10) |
Can apply the principles of behavioral sciences in passenger relations and enhance professional representation through personal care and diction. |
|
| 11) |
Can prepare a career development plan and adopt a lifelong learning approach. |
|
| 12) |
Can apply professional knowledge and skills in the workplace and gain industry experience. |
|
| 13) |
Can acquire the ability to communicate in a foreign language (English) at a level defined as at least A2 in the European Language Portfolio. |
|
| 14) |
Apply the fundamental knowledge of business management functions to analyze organizational problems, make informed decisions, and contribute effectively to the operations of enterprises in dynamic and competitive environments. |
|
| 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 |