Course Name Code Semester T+U Hours Credit ECTS
Dijital Dönüşüm Uygulamalari (Sektör Dersi) ENM 558 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi ALPER KİRAZ
Course Lecturers
Course Assistants
Course Category
Course Objective
Course Content
# Course Learning Outcomes Teaching Methods Assessment Methods
Week Course Topics Preliminary Preparation
1 Digitalization, Introduction to Industry 4.0 and Digital Strategy
2 Industry 4.0 Design Principles and Conceptual Framework
3 Digital Innovation and Business Model Innovation / Digital Marketing and Brand Management
4 Artificial Intelligence and Machine Learning
5 Artificial Intelligence Technologies and Applications in Manufacturing Systems
6 Artificial Intelligence Technologies and Applications in Service Systems
7 Big Data Technologies and Applications
8 Additive Manufacturing / Automation and Sensor Technologies
9 Midterm
10 Internet of Things / Industrial Communication and 3D Printing
11 Adaptive Robotic Systems / Digital Traceability Systems in Production and Service Processes
12 Augmented Reality and Virtualization / Cyber Security Systems
13 Cloud Computing Systems / Simulation Systems
14 Determination of Industry 4.0 Maturity Level and Digital Transformation Roadmaps
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 The aim of the course is to reach the information in depth and in depth by conducting scientific research in the field of engineering, to evaluate, interpret and apply the information. X
2 Ability to complete and apply knowledge by scientific methods using limited or missing data; to integrate information from different disciplines.
3 To be able to construct engineering problems, develop methods to solve them and apply innovative methods in solutions.
4 Ability to develop new and original ideas and methods; develop innovative solutions in system, part or process designs.
5 Ability to design and apply analytical, modeling and experimental research; to analyze and interpret complex situations encountered in this process.
6 Identify the information and data needed, reach them and evaluate them at an advanced level.
7 Leadership in multi-disciplinary teams, developing solutions to complex situations and taking responsibility.
8 To be able to convey the process and results of his / her studies systematically and clearly in written or oral form in national and international environments in or out of that field.
9 Interpreting comprehensive information about modern techniques and methods applied in engineering and their limits.
10 Awareness about new and developing practices of the profession; to examine and learn them when necessary.
11 To understand the social and environmental dimensions of engineering applications and to adapt to the social environment.
12 To observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Performans Görevi (Uygulama) 60
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
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 20 20
Performance Task (Application) 1 30 30
Final examination 1 20 20
Total Workload 150
Total Workload / 25 (Hours) 6
dersAKTSKredisi 6