Graduation Project (Design) (ENS 491)

2024 Fall
Faculty of Engineering and Natural Sciences
Engineering Sciences(ENS)
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2
Ahmet Barış Balcıoğlu balcioglu@sabanciuniv.edu, Albert Levi levi@sabanciuniv.edu, Alex Lyakhovich alex.lyakhovich@sabanciuniv.edu, Ayhan Bozkurt abozkurt@sabanciuniv.edu, Ali Koşar kosara@sabanciuniv.edu, Çağlar Tunç caglar.tunc@sabanciuniv.edu, Bülent Çatay catay@sabanciuniv.edu, Adnan Kefal adnankefal@sabanciuniv.edu, Bekir Bediz bbediz@sabanciuniv.edu, Erhan Budak ebudak@sabanciuniv.edu, Esra Erdem esraerdem@sabanciuniv.edu, Burç Mısırlıoğlu burc@sabanciuniv.edu, Alhun Aydın alhun.aydin@sabanciuniv.edu, Kağan Kurşungöz kursungoz@sabanciuniv.edu, Kamer Kaya kaya@sabanciuniv.edu, Canan Atılgan canan@sabanciuniv.edu, Korkut Kaan Tokgöz korkut.tokgoz@sabanciuniv.edu, Melih Türkseven melih.turkseven@sabanciuniv.edu, Murat Kaya Yapıcı mkyapici@sabanciuniv.edu, Nur Mustafaoğlu Varol nur.mustafaoglu@sabanciuniv.edu, Ogün Adebali oadebali@sabanciuniv.edu, Onur Varol onur.varol@sabanciuniv.edu, Ayşe Berrin Yanıkoğlu berrin@sabanciuniv.edu, Bahattin Koç bahattinkoc@sabanciuniv.edu, Ayesha Asloob Qureshi aqureshi@sabanciuniv.edu, Emre Erdem emreerdem@sabanciuniv.edu, Volkan Patoğlu vpatoglu@sabanciuniv.edu, Ersin Göğüş ersing@sabanciuniv.edu, Yusuf Ziya Menceloğlu yusufm@sabanciuniv.edu, Orçun Çetin orcun.cetin@sabanciuniv.edu, Utku Seven useven@sabanciuniv.edu, Ömer Ceylan ceylanomer@sabanciuniv.edu, Alp Yürüm alp.yurum@sabanciuniv.edu, Kürşat Çağıltay kursat.cagiltay@sabanciuniv.edu, Duygu Taş Küten duygu.tas@sabanciuniv.edu, Bekir Dızman bekirdizman@sabanciuniv.edu, Atıl Utku Ay utku.ay@sabanciuniv.edu, Ali Rana Atılgan atilgan@sabanciuniv.edu, Levent Öztürk lozturk@sabanciuniv.edu, İhsan Sadati msadati@sabanciuniv.edu, Mustafa Ünel munel@sabanciuniv.edu, Özge Akbulut ozgeakbulut@sabanciuniv.edu, Selim Saffet Balcısoy balcisoy@sabanciuniv.edu, Sinan Yıldırım sinanyildirim@sabanciuniv.edu, Tuğçe Yüksel tyuksel@sabanciuniv.edu, Yücel Saygın ysaygin@sabanciuniv.edu, Süha Orhun Mutluergil suha.mutluergil@sabanciuniv.edu, Ahmet Demirelli ahmetdemirelli@sabanciuniv.edu, Burcu Saner Okan bsanerokan@sabanciuniv.edu, Canan Kaşıkcı canankasikci@sabanciuniv.edu, Ali Sadaghiani a.sadaghiani@sabanciuniv.edu, Cemal Yılmaz cyilmaz@sabanciuniv.edu, Dilara Keküllüoğlu dilara.kekulluoglu@sabanciuniv.edu, Dimitrios Papathanasıou d.papathanasiou@sabanciuniv.edu, Elif Dürdane Koç elif.koc@sabanciuniv.edu, Erchan Aptoula erchan.aptoula@sabanciuniv.edu, Erkay Savaş erkays@sabanciuniv.edu, Esra Koca ekoca@sabanciuniv.edu, Ezgi Karabulut Türkseven ezgi.turkseven@sabanciuniv.edu, Ferruh Özbudak ferruh.ozbudak@sabanciuniv.edu, Fevzi Çakmak Cebeci fccebeci@sabanciuniv.edu, Gökalp Alpan gokalp.alpan@sabanciuniv.edu, Hayriye Ünal hunal@sabanciuniv.edu, Hüsnü Yenigün yenigun@sabanciuniv.edu, İbrahim Kürşat Şendur sendur@sabanciuniv.edu, İbrahim Tekin tekin@sabanciuniv.edu, İnanç Arın inancarin@sabanciuniv.edu, İsmail Çakmak cakmak@sabanciuniv.edu, İsmet İnönü Kaya iikaya@sabanciuniv.edu, Kemal Kılıç kkilic@sabanciuniv.edu, Kemalettin Erbatur erbatur@sabanciuniv.edu, Mehmet Zafer Gedik gedik@sabanciuniv.edu, Melik Yazıcı melikyazici@sabanciuniv.edu, Mohammad Sadek mmsadek@sabanciuniv.edu, Mohaned Chariti mohaned.chraiti@sabanciuniv.edu, Morteza Ghorbani mghorbani@sabanciuniv.edu, Murat Fadıloğlu murat.fadiloglu@sabanciuniv.edu, Murat Kaya mkaya@sabanciuniv.edu, Nihat Gökhan Göğüş nggogus@sabanciuniv.edu, Nikolaos Koltsaklis nikolaos.koltsaklis@sabanciuniv.edu, Nilay Duruk Mutlubaş nilaydm@sabanciuniv.edu, Nurdagül Anbar Meidl nanbar@sabanciuniv.edu, Ongun Özçelik ongun.ozcelik@sabanciuniv.edu, Özcan Öztürk ozcan.ozturk@sabanciuniv.edu, Özgür Gürbüz ogurbuz@sabanciuniv.edu, Özgür Kütük ozgur.kutuk@sabanciuniv.edu, Selim Çetiner cetiner@sabanciuniv.edu, Semih Onur Sezer sezer@sabanciuniv.edu, Serap Hayat Soytaş seraphayat@sabanciuniv.edu, Serkan Ünal serkanunal@sabanciuniv.edu, Tonguç Ünlüyurt tonguc@sabanciuniv.edu, Turgay Bayraktar tbayraktar@sabanciuniv.edu, Ünal Ertan unal@sabanciuniv.edu, Yaşar Gürbüz yasar@sabanciuniv.edu, Zaeema Khan zaeema.khan@sabanciuniv.edu, Sibel Çetinel cetinel@sabanciuniv.edu, Duygu Karaoğlan Altop duygukaltop@sabanciuniv.edu, İnanç Adagideli adagideli@sabanciuniv.edu, Utku Günay Acer utku.acer@sabanciuniv.edu, Ali Rıza Umut Şahin umut.sahin@sabanciuniv.edu, Mehmet Yıldız mehmet.yildiz@sabanciuniv.edu,
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English
Undergraduate
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Laboratory,Other
Project based learning,Case Study
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Programs\Type Required Core Elective Area Elective
Computer Science and Engineering *
Computer Science and Engineering *
Electronics Engineering *
Electronics Engineering *
Industrial Engineering *
Industrial Engineering (Previous Name: Manufacturing Systems Engineering) *
Materials Science and Nano Engineering *
Materials Science and Nano Engineering (Previous Name: Materials Science and Engineering) *
Mechatronics Engineering *
Mechatronics Engineering *
Microelectronics *
Molecular Biology, Genetics and Bioengineering *
Molecular Biology, Genetics and Bioengineering (Pre. Name: Biological Sciences and Bioengineering) *
Telecommunications *

CONTENT

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. Students must have completed 80 SU credits and, in addition they must have completed the prerequisite course for their program as given below. Prerequisite courses of th programs: • Molecular Biology, Genetics, and Bioengineering: BIO 301 or BIO 303 • Computer Science and Engineering: CS 300 • Electronics Engineering: EE 202 or ENS211 • Industrial Engineering: IE 305 or IE 312 • Materials Science and Nano Engineering: MAT 312 or MAT 314 • Mechatronics Engineering: ME 301 or ME 303

LEARNING OUTCOMES

  • 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.

PROGRAMME OUTCOMES

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; have the ability to continue to educate him/herself. 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. 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. 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. 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. 5

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. 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. Use mathematics (including derivative and integral calculations, probability and statistics, differential equations, linear algebra, complex variables and discrete mathematics), basic sciences, computer and programming, and electronics engineering knowledge to (a) Design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software or (b) Design and analyze communication networks and systems, signal processing algorithms or software 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. 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. 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

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Quiz 5
Term-Paper 25
Case Study 10
Individual Project 35
Written Report 25