Master Thesis (IE 590)

2021 Spring
Faculty of Engineering and Natural Sciences
Industrial Engineering(IE)
0
50
Bülent Çatay catay@sabanciuniv.edu, Güvenç Şahin guvencs@sabanciuniv.edu, Amine Gizem Özbaygın ozbaygin@sabanciuniv.edu, Hans Frenk frenk@sabanciuniv.edu, Kemal Kılıç kkilic@sabanciuniv.edu, Murat Kaya mkaya@sabanciuniv.edu, Ahmet Barış Balcıoğlu balcioglu@sabanciuniv.edu, Burak Kocuk burakkocuk@sabanciuniv.edu, Esra Koca ekoca@sabanciuniv.edu, Tonguç Ünlüyurt tonguc@sabanciuniv.edu,
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English
Doctoral, Master
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Other
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CONTENT

OBJECTIVE

Master Thesis

LEARNING OUTCOMES

  • Establish a strong theoretical background in several of a broad range of subjects related to the discipline, such as manufacturing processes, service systems design and operation, production planning and control, modeling and optimization, stochastics, statistics.

PROGRAMME OUTCOMES


1. Develop the ability to use critical, analytical, and reflective thinking and reasoning 5

2. Reflect on social and ethical responsibilities in his/her professional life. 4

3. Gain experience and confidence in the dissemination of project/research outputs 5

4. Work responsibly and creatively as an individual or as a member or leader of a team and in multidisciplinary environments. 5

5. Communicate effectively by oral, written, graphical and technological means and have competency in English. 5

6. Independently reach and acquire information, and develop appreciation of the need for continuously learning and updating. 5


1. Design and model engineering systems and processes and solve engineering problems with an innovative approach. 5

2. Establish experimental setups, conduct experiments and/or simulations. 5

3. Analytically acquire and interpret data. 5


1. Establish a strong theoretical background in several of a broad range of subjects related to the discipline, such as manufacturing processes, service systems design and operation, production planning and control, modeling and optimization, stochastics, statistics. 5

2. Develop novel modeling and / or analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy, also using an interdisciplinary approach whenever appropriate. 5

3. Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 5

4. Acquire skills to independently explore and tackle problems related to the discipline that were not encountered previously. Develop appropriate modeling, solution, implementation strategies, and assess the quality of the outcome. 5