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Learning & Teaching Methods

The Industrial Engineering Master's Program aims to train individuals who are competent in their field, possess analytical thinking skills, adopt a systems approach, and can produce effective solutions to complex problems faced by the industrial and service sectors. To this end, various learning and teaching methods are adopted to equip students with both theoretical and practical skills:

1. Lectures

Basic concepts, advanced theories, and sectoral applications are conveyed to students by academics who are experts in their field. The learning process is supported by classroom interactions that encourage active participation.

2. Case Studies and Discussions

Through analyses based on real-world problems, students gain the ability to evaluate complex processes, identify risks, and develop sustainable solutions.

3. Project and Assignment Work

Through individual and group projects, students conduct original analyses and develop solution proposals on topics such as production systems, supply chain, process optimization, and digital transformation.

4. Simulations and Applied Training

Through simulations conducted with modern software tools, students gain practical skills in areas such as modeling, optimization, process management, and decision support systems.

5. Seminar and Conference Participation

At events organized in collaboration with academia and industry, students keep up with current developments and develop their career vision by communicating with industry professionals.

6. Continuous Feedback and Evaluation

Evaluations conducted through projects, presentations, and midterm exams are structured to support students' individual development. Feedback mechanisms ensure continuous learning.