COURSE UNIT TITLE

Offered By

Business Administration (English)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR KEVSER YILMAZ

Offered to

Business Administration (English)

Course Objective

This course aims to provide students with an understanding of Industry 4.0 and its implications for business transformation. A number of technologies such as 3D printing, digital twins, and artificial intelligence will be examined in regard to operational efficiency and competitive advantage. Furthermore, students will explore the role of big data, cloud computing, and augmented reality in decision-making and supply chain optimization. As part of this course, they will analyze case studies to assess cybersecurity and ethical considerations in the context of digital transformation.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Kanabar, V. (2023). The AI Revolution in Project Management: Elevating Productivity with Generative AI. Sams Publishing.

Stephenson, D. (2018). Big Data Demystified: How to use big data, data science and AI to make better business decisions and gain competitive advantage. Pearson UK.

Laudon, K. C. & Laudon, J.P. (2021). Management Information Systems: Managing the Digital Firm, 17th edition, Pearson UK.

Schmalstieg, D., & Hollerer, T. (2016). Augmented reality: principles and practice. Addison-Wesley Professional.

Gilchrist, A. (2016). Industry 4.0. Apress.

Planned Learning Activities and Teaching Methods

1. Lecture
2. Discussion
3. Group Study

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

1.Midterm Exam (40%): Students will be evaluated on their knowledge of Industry 4.0 and digital technologies concepts through essay-type questions.
2.Assignment (60%): Students will work in groups to select and, throughout the semester, prepare projects based on the concepts discussed in class, tailored to their selected sector. They will submit a written report and deliver a presentation. Each assignment is worth 10%, with a total weight of 60%. Assignments that are not presented will not be graded.

Language of Instruction

English

Course Policies and Rules

1. Attending at least 70 percent of lectures is mandatory.
2. Plagiarism of any type will result in disciplinary action.
3. Participation to the course and discussions during the classes is required.
4. Late arrivals to the class should be avoided.
5. All electronic devices should be kept close during the lectures.

Contact Details for the Lecturer(s)

kevser.yilmaz@deu.edu.tr

Office Hours

Tuesday

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes