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| ENDL7114 | @Digital Transformation | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of INDUSTRIAL ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Arş. Gör. Yıldız KÖSE | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The course covers the technological elements that trigger Industry 4.0, such as the Internet of Things (IoT), big data and analytics, cloud computing, augmented reality used in the digital transformation process. A roadmap is provided for the creation of new business models, evaluation and management of important technologies. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Mastering digital transformation and Industry 4.0 development | 4 | 1, | | PO - 2 : | To be able to design and manage digital transformation processes | 4 | 1, | | PO - 3 : | Overcoming the challenges in the digital transformation process | 4 | 1, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Basic concepts in the digital transformation process, technologies, impact areas, business models, relationship with the concept of industry 4.0, digital transformation technologies, challenges, obstacles and countermeasures |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to digital transformation | | | Week 2 | Main impact areas of digital transformation | | | Week 3 | Digital transformation strategies and processes | | | Week 4 | Technological pillars triggering Industry 4.0 | | | Week 5 | Technological pillars triggering Industry 4.0 | | | Week 6 | Digital transformation process roadmap | | | Week 7 | Digital transformation process roadmap | | | Week 8 | Digital transformation process roadmap | | | Week 9 | Midterm exam | | | Week 10 | Business Models in Digital Transformation | | | Week 11 | Business Models in Digital Transformation | | | Week 12 | Resistances and countermeasures in the digital transformation process | | | Week 13 | Economy in digital transformation | | | Week 14 | Design Thinking | | | Week 15 | Augmented reality, Blockchain technology | | | Week 16 | Final exam | | | |
| 1 | Borek, A., & Prill, N. 2020; Driving digital transformation through data and AI: A practical guide to delivering data science and machine learning products. Kogan Page Publishers. | | | |
| 1 | Rogers, D. 2016; The digital transformation playbook: Rethink your business for the digital age. Columbia Business School. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 2 | 30 | | Project | 14 | | | 20 | | End-of-term exam | 16 | | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 5 | 12 | 60 | | Arasınav için hazırlık | 12 | 1 | 12 | | Arasınav | 2 | 1 | 2 | | Uygulama | 2 | 14 | 28 | | Ödev | 1 | 5 | 5 | | Proje | 12 | 1 | 12 | | Kısa sınav | 1 | 4 | 4 | | Dönem sonu sınavı için hazırlık | 12 | 2 | 24 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 191 |
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