Master Thesis (CS 590)

2021 Fall
Faculty of Engineering and Natural Sciences
Computer Sci.& Eng.(CS)
0
50
Albert Levi levi@sabanciuniv.edu, Ayşe Berrin Yanıkoğlu berrin@sabanciuniv.edu, Cemal Yılmaz cyilmaz@sabanciuniv.edu, Erkay Savaş erkays@sabanciuniv.edu, Öznur Taştan Okan otastan@sabanciuniv.edu, Esra Erdem esraerdem@sabanciuniv.edu, Selim Saffet Balcısoy balcisoy@sabanciuniv.edu, Kamer Kaya kaya@sabanciuniv.edu, Christopher Mayack cmayack@sabanciuniv.edu, Reyyan Yeniterzi reyyan@sabanciuniv.edu, Hüseyin Özkan hozkan@sabanciuniv.edu,
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English
Doctoral, Master
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CONTENT

LEARNING OUTCOMES

  • At the end of this course, students will be able to: Conduct state-of-the-art research in a particular discipline of computer science and engineering
  • Develop a proof of concept via direct implementation and/or theoretical, experimental or simulative mechanisms
  • Write a scientific manuscript

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 3

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. 4


1. Design and model engineering systems and processes and solve engineering problems with an innovative approach. 4

2. Establish experimental setups, conduct experiments and/or simulations. 4

3. Analytically acquire and interpret data. 4


1. Apply knowledge of mathematics, science, and engineering in computer science and engineering related problems. 5

2. Display knowledge of contemporary issues in computer science and engineering and apply to a particular problem. 5

3. Demonstrate the use of results from interpreted data to improve the quality of research or a product in computer science and engineering. 5