Graduation Project (Design) (ENS 491)

2019 Spring
Faculty of Engineering and Natural Sciences
Engineering Sciences(ENS)
2.00 / 2.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Cleva Ow Yang, Selim Saffet Balcısoy, Serhat Yeşilyurt, Hans Frenk, Sinan Yıldırım, Eralp Demir, Murat Kaya Yapıcı, Ahmet Barış Balcıoğlu, Emre Erdem, Zehra Sayers, Canan Atılgan, Cavit Ağca, Mustafa Ünel, Hüveyda Başağa, Erhan Budak, Burç Mısırlıoğlu, Erkay Savaş, Fevzi Çakmak Cebeci, Mahmut Faruk Akşit, Özgür Gürbüz, Bülent Çatay, Ayşe Berrin Yanıkoğlu, Burak Kocuk, Yaşar Gürbüz, Kemal Kılıç, Kemalettin Erbatur, Emrah Eroğlu, Güvenç Şahin, Tuğçe Yüksel, Levent Öztürk, Ahmet Demirelli, Ali Rana Atılgan, Ezgi Karabulut Türkseven, Özgür Erçetin, Semih Onur Sezer, Albert Levi, Güllü Kızıltaş Şendur, Feyzullah Orçun Çetin, Yücel Saygın, Murat Kaya, Selim Çetiner, Yusuf Ziya Menceloğlu, Mehmet Yıldız, Mehmet Keskinöz, Müjdat Çetin, Emre Özlü, Mehmet Ali Gülgün, Meltem Elitaş, Ahmet Onat, Yasemin Şengül Tezel, İsmail Çakmak, Reyyan Yeniterzi, Kağan Kurşungöz, Bahattin Koç, Ayhan Bozkurt, Ogün Adebali, Volkan Patoğlu, Yunus Sarıkaya, Gözde İnce, Tonguç Ünlüyurt, Altuğ Tanaltay, Hayriye Ünal, Amine Gizem Özbaygın, Devrim Gözüaçık, Esra Koca, İbrahim Kürşat Şendur, Öznur Taştan Okan, Selmiye Alkan Gürsel, Bekir Bediz, Christopher Mayack, Ali Koşar, Melih Papila, Özge Akbulut, Serkan Ünal, Utku Seven, Ozan Biçen, Esra Erdem, Kamer Kaya, Hüsnü Yenigün, İlker Hamzaoğlu, Melih Türkseven, Erdinç Öztürk, Gülşen Demiröz, İbrahim Tekin, Lütfi Taner Tunç, Batu Erman, Cemal Yılmaz, Hüseyin Özkan,
Project based learning,Case Study
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All students in FENS faculty are required to complete a graduation project as a part of ENS 491 and ENS 492 course requirements. In these multidisciplinary projects, students will have the opportunity to apply and develop their knowledge in the area of their specialization in a team environment. ENS 491 will involve general lectures on engineering project development such as: product planning, project management, establishing product specifications, product metrics, cost analysis, concept generation, concept selection and testing, reliability, optimization, computer aided design and manufacturing, prototyping etc. Students will implement their designs in ENS 492. Students will be required to submit progress reports, and seperate final reports for ENS 491 and ENS 492


ability to identify, define, formulate complex scientific/engineering problems/processes,

experience in applying knowledge of science, mathematics and engineering to design a solution approach for a complex scientific/engineering problem under realistic constraints (such as economic, environmental, social, ethical, health and safety, manufacturability and sustainability), and in accordance with the standards of the field of specialty,
ability to identify modern techniques and tools to solve a problem,
knowledge on project management, risk management, change management, and legal consequences of engineering solutions,
awareness on IP management, innovation and entrepreneurship,
experience in effective communication of their findings by reports and presentations,
experience in working in multidisciplinary teams.


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. 4

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 4

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. 5

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 5

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. 5

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 5

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. 5

4. 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. 5

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

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

7. 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; understanding of professional and ethical responsibility. 5

1. Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 5

2. Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 5

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

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. 5

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. 5

3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 5

1. Comprehend key concepts in biology and physiology, with emphasis on molecular genetics, biochemistry and molecular and cell biology as well as advanced mathematics and statistics. 5

2. Develop conceptual background for interfacing of biology with engineering for a professional awareness of contemporary biological research questions and the experimental and theoretical methods used to address them. 5

1. Design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs and to solve a computational problem. 5

2. Demonstrate knowledge of discrete mathematics and data structures. 5

3. Demonstrate knowledge of probability and statistics, including applications appropriate to computer science and engineering. 5

1. Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 5

2. Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 5

1. Use mathematics (including derivative and integral calculations, probability and statistics), basic sciences, computer and programming, and electronics engineering knowledge to design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software. 5

2. Analyze and design communication networks and systems, signal processing algorithms or software using advanced knowledge on differential equations, linear algebra, complex variables and discrete mathematics. 5


  Percentage (%)
Exam 5
Case Study 10
Individual Project 35
Written Report 50