| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 1 | IE494 | INDUSTRY 4.0 | 3+0+0 | 3 | 5 |
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Language of Instruction
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English
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Level of Course Unit
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Bachelor's Degree
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Department / Program
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INDUSTRIAL ENGINEERING
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Type of Program
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Formal Education
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Type of Course Unit
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Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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Interpret the elements of digital transformation
Design a production line using Industry 4.0 approaches
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Course Content
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Industry 4.0, also known as the fourth industrial revolution, is a name for the current trend of automation and data exchange. It includes cyber-physical systems, the Internet of things, cloud computing and cognitive computing, modeling and simulation, and data analytics. The course addresses the concept and implementation of Industry 4.0 together with how industrial engineering and operations research can be useful in several areas of Industry 4.0.
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Course Methods and Techniques
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Prerequisites and co-requisities
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None
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Course Coordinator
|
None
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Name of Lecturers
|
Asist Prof.Dr. Betül Çoban
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Assistants
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None
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Work Placement(s)
|
No
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Recommended or Required Reading
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Resources
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Alasdair Gilchrist, Industry 4.0: The Industrial Internet of Things, 2016
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canvas
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canvas
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canvas
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Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
|
In-Term Studies
|
|
Yarıl yılSonu Sınavı/Dönem Projesinin Başarı Notuna Katkısı
|
2
|
%
50
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Proje/Çizim
|
1
|
%
10
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Final examination
|
1
|
%
0
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Total
|
4
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%
60
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ECTS Allocated Based on Student Workload
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Activities
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Total Work Load
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|
Kritik
|
14
|
3
|
42
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Sınıf İçi Aktivitesi
|
14
|
3
|
42
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Kişisel Çalışma
|
15
|
3
|
45
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Ders dışı çalışma
|
14
|
1
|
14
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Total Work Load
| |
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Number of ECTS Credits 5
143
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Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
|
1
| Identify Industry 4.0 technologies |
|
2
| Outline applications of Industry 4.0 |
|
3
| Examine new methods for digital transformation in business and manufacturing sectors |
|
4
| Use robotics in Internet of Things (IoT) applications |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 1 |
Internet of Things (IoT) & Industrial Internet of Things (IIoT) & Internet of Services
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-
|
-
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| 2 |
Digitalization and the Networked Economy
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-
|
-
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| 3 |
Digitalization and the Networked Economy
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-
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-
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| 4 |
Comparison of Industry 4.0 Factory and Today's Factory
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-
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-
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| 5 |
Trends of Industrial Big Data and Predictive Analytics for Smart Business Transformation
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-
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-
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| 6 |
Smart Manufacturing
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-
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-
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| 7 |
Smart Manufacturing
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-
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-
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| 8 |
Lecture Free Week
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-
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-
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| 9 |
Cyberphysical Systems
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-
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-
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| 10 |
Robotic Automation and Collaborative Robots
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-
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-
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| 11 |
Support System for Industry 4.0
|
-
|
-
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| 12 |
Cyber Security
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-
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-
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| 13 |
Industry 4.0 laboratory
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-
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-
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| 14 |
IoT case studies
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-
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-
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Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=72460&lang=en