Click to Print This Page
Code XM 590
Term 201602
Title Master Project
Faculty Faculty of Engineering and Natural Sciences
Subject Project-Exchange(XM)
SU Credit 0
ECTS Credit 30.00
Instructor(s) Tonguc Unluyurt,
Language of Instruction English
Level of Course Doctoral
Type of Course Click here to view.
(only for SU students)
Mode of Delivery One-to-one tutorial
Planned Learning Activities Interactive,Guided discovery

Learning Outcome

To complete a research project with a supervisor at Sabanci University.

Programme Outcomes
Common Outcomes For All Programs
1 Develop and deepen the current and advanced knowledge in the field with original thought and/or research and come up with innovative definitions based on Master's degree qualifications 5
2 Conceive the interdisciplinary interaction which the field is related with ; come up with original solutions by using knowledge requiring proficiency on analysis, synthesis and assessment of new and complex ideas. 5
3 Evaluate and use new information within the field in a systematic approach. 5
4 Develop an innovative knowledge, method, design and/or practice or adapt an already known knowledge, method, design and/or practice to another field; research, conceive, design, adapt and implement an original subject. 5
5 Critical analysis, synthesis and evaluation of new and complex ideas. 5
6 Gain advanced level skills in the use of research methods in the field of study. 5
7 Contribute the progression in the field by producing an innovative idea, skill, design and/or practice or by adapting an already known idea, skill, design, and/or practice to a different field independently. 5
8 Broaden the borders of the knowledge in the field by producing or interpreting an original work or publishing at least one scientific paper in the field in national and/or international refereed journals. 5
9 Demonstrate leadership in contexts requiring innovative and interdisciplinary problem solving. 4
10 Develop new ideas and methods in the field by using high level mental processes such as creative and critical thinking, problem solving and decision making. 5
11 Investigate and improve social connections and their conducting norms and manage the actions to change them when necessary. 4
12 Defend original views when exchanging ideas in the field with professionals and communicate effectively by showing competence in the field. 5
13 Ability to communicate and discuss orally, in written and visually with peers by using a foreign language at least at a level of European Language Portfolio C1 General Level. 3
14 Contribute to the transition of the community to an information society and its sustainability process by introducing scientific, technological, social or cultural improvements. 3
15 Demonstrate functional interaction by using strategic decision making processes in solving problems encountered in the field. 3
16 Contribute to the solution finding process regarding social, scientific, cultural and ethical problems in the field and support the development of these values. 3
Common Outcomes For All Programs
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. 5
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.
2 Establish experimental setups, conduct experiments and/or simulations.
3 Analytically acquire and interpret data.
1 Employ mathematical methods to solve physical problems and understand relevant numerical techniques.
2 Conduct basic experiments or simulations.
3 Analytically acquire and interpret data.
4 Establish thorough understanding of the fundamental principles of physics.
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.
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.
3 Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools.
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.
1 Apply knowledge of mathematics, science, and engineering in computer science and engineering related problems.
2 Display knowledge of contemporary issues in computer science and engineering and apply to a particular problem.
3 Demonstrate the use of results from interpreted data to improve the quality of research or a product in computer science and engineering.
1 Apply knowledge of key concepts in biology, with an emphasis on molecular genetics, biochemistry and molecular and cell biology.
2 Display an awareness of the contemporary biological issues in relation with other scientific areas.
3 Demonstrate hands-on experience in a wide range of biological experimental techniques.
1 Apply a broad knowledge of structure & microstructure of all classes of materials, and the ability to use this knowledge to determine the material properties.
2 Apply a broad understanding of the relationships between material properties, performance and processing.
3 Apply a broad understanding of thermodynamics, kinetics, transport phenomena, phase transformations and materials aspects of advanced technology.
4 Demonstrate hands-on experience using a wide range of materials characterization techniques.
5 Demonstrate the use of results from interpreted data to improve the quality of research, a product, or a product in materials science and engineering.
1 Use advanced Math (including probability and/or statistics), advanced sciences, advanced computer and programming, and advanced Electronics engineering knowledge to design and analyze complex electronics circuits, instruments, software and electronic systems with hardware/software.
2 Analyze and design advanced communication networks and systems, advanced signal processing algorithms or software using advanced knowledge on diff. equations, linear algebra, complex variables and discrete math.