Course Name Code Semester T+U Hours Credit ECTS
Industry 4.0 and Digital Transformation ENM 445 7 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Prof.Dr. SEMRA BORAN
Course Lecturers
Course Assistants

Res. Assist. Enes Furkan Erkan

Course Category
Course Objective

To give information about robotic, artificial intelligence, big data, augmented reality, additive production, internet of objects, cloud computing, cyber security technologies which constitute the elements of Digital Transformation, to give information about new technologies and methods developed within this scope to ensure the applicability of Digital Transformation to Manufacturing and Service Sector by sharing the experiences obtained.

Course Content
 
590/5000
History of Industrial Revolutions, Recognition of Cyber Physical Systems, Internet of Things and Conceptual Integrity, Cloud Information Systems, Big Data Analysis, Information Technologies (IT) and Digital Transformation, Artificial Intelligence Technologies and Embedded Systems, Autonomous Systems and Decentralized Decision Making Processes, Application, Intelligent Factory, Digital Ecosystem formation and Intelligent production systems, Machine-to-Machine Communication, Interoperability, Information transparency and Technical support, Virtual Reality, Industry 4.0 Applications, Industry 4.0 and Engineering Structural Integrity and beyond
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Lecture, Question-Answer, Discussion, Testing,
2 Lecture, Question-Answer, Discussion, Demonstration, Testing,
3 Lecture, Discussion, Demonstration, Testing,
Week Course Topics Preliminary Preparation
1 History of Industrial Revolutions
2 Cyber Physical Systems
3 Internet of Things and Conceptual Integrity
4 Cloud Computing Systems
5 Big Data Analysis
6 Information Technology (IT) and Digital Transformation
7 Artificial Intelligence Technologies and Embedded Systems
8 Autonomous Systems and Decentralized Decision Making Application
9 Midterm
10 Zeki Factory, Digital Ecosystem formation and Intelligent production systems
11 Machine to Machine Communication, Interoperability
12 Information transparency and Technical support and Virtual Reality
13 Industry 4.0 Applications
14 Industry 4.0 and Engineering Structural Integrity
Resources
Course Notes <p> It will be published on SABİS Platform.</p>
Course Resources

Ustundag, A., & Cevikcan, E. (2017). Industry 4.0: managing the digital transformation. Springer.

Industry 4.0 The Industrial Internet of Things, Authors: Gilchrist, Alasdair, ISBN: 978-1-4842-2046-7 (Print) 978-1-4842-2047-4 (Online)2016.

A Strategist’s Guide to Industry 4.0, Reinhard Geissbauer, Jesper Vedsø, and Stefan Schrauf, May 9, 2016.

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems.
2 Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling.
3 Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. X
4 Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. X
5 Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. X
6 Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually X
7 Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language
8 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology
9 Engineering graduates with well-structured responsibilities in profession and ethics
10 Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development. X
11 Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Kısa Sınav 10
1. Ödev 25
1. Performans Görevi (Seminer) 15
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 10 10
Performance Task (Application) 1 20 20
Final examination 1 15 15
Total Workload 125
Total Workload / 25 (Hours) 5
dersAKTSKredisi 5