Internship Project (MAT 395)

2021 Summer
Faculty of Engineering and Natural Sciences
Materials Sci.& Nano Eng.(MAT)
2/5 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Ali Rana Atılgan, Bekir Dızman, Burç Mısırlıoğlu, Canan Atılgan, Emre Erdem, Fevzi Çakmak Cebeci, Gözde İnce, Hatice Sinem Şaş Çaycı, Mehmet Ali Gülgün, Mehmet Yıldız, Özge Akbulut, Selmiye Alkan Gürsel, Serkan Ünal, Yusuf Ziya Menceloğlu,
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All MAT FENS students are required to complete a internship project (MAT 395) with a minimum duration of 8 weeks after 3rd year and to have a satisfactory (S) standing so as to receive their B.Sc. degrees. The main objectives of the the internship project are (i) to give the students a chance to gain first- hand working experience in an industrial setting, and technicians effectively. At the same time, the internship projects help the students' professional companies/institutions based on their interests and programs they are enrolled. At the end of the project students are required to prepare and submit a final project report and make a presentation. Students have to be enrolled in a MAT Diploma Program in order to register for this course. See the Internship Project Guideline for further details.


1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 2

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 1

3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects; have the ability to continue to educate him/herself. 2

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 4

5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 5

1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 1

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 4

3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 4

4. Have the ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 4

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 2

6. Possess knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 5

7. Possess knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; knowledge of behavior according to ethical principles, understanding of professional and ethical responsibility. 3

8. Have the ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. 4

1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 2

2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 2

3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 2