Information Package / Course Catalogue
Fourth Generation Industrial Systems
Course Code: ELTC257
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 4
Objectives of the Course

This course aims to provide students with knowledge about the development of industrial revolutions, the concept of Industry 4.0, and the fundamental components of smart manufacturing systems. It also aims to equip students with a basic understanding of digital transformation, the Internet of Things (IoT), big data, artificial intelligence, automation systems, and cyber-physical systems, and to enable them to grasp the role of electronic technologies in Industry 4.0 applications.

Course Content

Industrial revolutions and the concept of Industry 4.0, digital transformation, smart factories, cyber-physical systems, the Internet of Things (IoT), big data, artificial intelligence, cloud computing, robotics systems, automation technologies, smart sensors, industrial communication technologies, examples of Industry 4.0 applications, and future manufacturing technologies.

Name of Lecturer(s)
Learning Outcomes
1.To explain the development of industrial revolutions and the concept of Industry 4.0.
2.Defining the fundamental components of Industry 4.0.
3.To explain the application areas of IoT, artificial intelligence, big data, and automation technologies.
4.Understanding the role of electronic technologies in smart manufacturing systems.
5.Understanding the importance of data collection and communication in industrial systems.
Recommended or Required Reading
1.INDUSTRY 4.0 - Technology and Production Management, Nobel Academic Publishing, ISBN: 9786257126274 (Emre Bilgin Sarı)
2.Industry 4.0: The Fourth Industrial Revolution and the Keys to Industrial Transformation, Pusula Publishing and Communication, ISBN: 9786056730153 (Ogan Özdoğan)
Weekly Detailed Course Contents
Week 1 - Theoretical
Industrial revolutions and historical development (Industry 1.0, 2.0, 3.0).
Week 2 - Theoretical
The concept and key characteristics of Industry 4.0.
Week 3 - Theoretical
Overview of Industry 4.0 components.
Week 4 - Theoretical
Digital transformation and smart manufacturing systems.
Week 5 - Theoretical
Internet of Things (IoT) and smart devices.
Week 6 - Theoretical
Sensor technologies and data acquisition systems. (Quiz)
Week 7 - Theoretical
Big data and cloud computing concepts.
Week 8 - Theoretical
Artificial intelligence and Industry 4.0 applications. (Midterm Examination)
Week 9 - Theoretical
Industrial communication networks.
Week 10 - Theoretical
Industrial communication protocols.
Week 11 - Theoretical
Cyber-physical systems and smart factories.
Week 12 - Theoretical
Robotics systems and automation technologies. (Assignment)
Week 13 - Theoretical
Data security, and ethical issues in Industry 4.0.
Week 14 - Theoretical
Current Industry 4.0 applications.
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%5
Quiz1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Assignment114115
Quiz114115
Midterm Examination120121
Final Examination120121
TOTAL WORKLOAD (hours)100
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
OÇ-1
3
3
3
4
3
3
OÇ-2
3
3
3
4
3
3
OÇ-3
3
3
3
4
3
3
OÇ-4
3
3
3
4
3
3
OÇ-5
3
3
3
4
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026