| School/Faculty/Institute | Faculty of Engineering | ||||
| Course Code | EE 486 | ||||
| Course Title in English | Computing with Emerging Technologies | ||||
| Course Title in Turkish | Gelişen Teknolojilerle Hesaplama | ||||
| Language of Instruction | EN | ||||
| Type of Course | Flipped Classroom | ||||
| Level of Course | Intermediate | ||||
| Semester | Fall | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 153 hours per semester | ||||
| Number of Credits | 6 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites |
EE 201 - Circuit Analysis I | EE 212 - Electrical and Electronic Circuits |
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| Expected Prior Knowledge | EE 201 or EE 212 | ||||
| Co-requisites | None | ||||
| Registration Restrictions | Only Undergraduate Students | ||||
| Overall Educational Objective | To learn to understand and analyze emerging nanoelectronic circuits and computing paradigms, compare them with conventional CMOS-based technologies, and investigate related algorithms and CAD tools, so as to explore and innovate in the field of advanced electronic circuits. | ||||
| Course Description | As current CMOS based technologies are approaching their anticipated limits, emerging nanotechnologies and new computing paradigms are expected to be used in future electronic circuits. This course overviews nanoelectronic circuits in a comparison with those of conventional CMOS-based. Deterministic and probabilistic emerging computing models as well as related algorithms and CAD tools are investigated. Regarding the interdisciplinary nature of emerging technologies, this course is appropriate for engineering students with a basic knowledge in circuits. | ||||
| Course Description in Turkish | Mevcut CMOS tabanlı teknolojiler beklenen sınırlara yaklaşırken, ortaya çıkan nanoteknolojilerin ve yeni hesaplama paradigmalarının gelecekteki elektronik devrelerde kullanılması bekleniyor. Bu derste nanoelektronik devreler geleneksel CMOS tabanlı devrelerle karşılaştırmalı olarak ele alınmaktadır. Deterministik ve olasılıksal olarak ortaya çıkan hesaplama modelleri, ilgili algoritmalar ve CAD araçları incelenmektedir. Gelişen teknolojilerin disiplinler arası doğası göz önüne alındığında, bu ders temel devre bilgisine sahip mühendislik öğrencileri için uygundur. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) compare CMOS circuit elements with circuit elements and devices in computational nanoelectronics including nano-crossbar and memristor switches, reversible quantum gates, approximate circuits and systems, and emerging transistors; 2) simulate emerging computing models and algorithms in circuit level; 3) analyze deterministic and probabilistic computing paradigms; 4) discuss performance of the computing models regarding area, power, speed, and accuracy; 5) apply fault analysis and tolerance techniques for permanent and transient faults. |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| 1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | |||||
| 2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | |||||
| 3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | |||||
| 4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | |||||
| 5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | |||||
| 6) Internalization and dissemination of professional ethical standards. | |||||
| 7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | |||||
| 8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | |||||
| 9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | |||||
| 10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | |||||
| 11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | |||||
| 12) Ability to acquire knowledge independently, and to plan one’s own learning. | |||||
| 13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
| 2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
| 3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
| 4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
| 5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
| 6) | Internalization and dissemination of professional ethical standards. | N | |
| 7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
| 8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
| 9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
| 11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
| 12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
| Prepared by and Date | TUBA AYHAN , |
| Course Coordinator | TUBA AYHAN |
| Semester | Fall |
| Name of Instructor | Prof. Dr. MUSTAFA ALTUN |
| Week | Subject |
| 1) | Introduction |
| 2) | Overview of emerging nanoscale devices and switches |
| 3) | Reversible quantum computing |
| 4) | Reversible circuit analysis and synthesis |
| 5) | Molecular computing with individual molecules and DNA strand displacement |
| 6) | Computing and logic synthesis with switching nano arrays |
| 7) | Nano arrays and memristor arrays |
| 8) | Probabilistic/Stochastic and approximate computing |
| 9) | Probabilistic/Stochastic and approximate computing |
| 10) | Defects, faults, errors, and their analysis and tolerance |
| 11) | Defects, faults, errors, and their analysis and tolerance |
| 12) | Project design and student presentations |
| 13) | Project design and student presentations |
| 14) | Project design and student presentations |
| 15) | Final examination and presentation period |
| 16) | Final examination and presentation period |
| Required/Recommended Readings | 1. Adamatzky, A. (Ed.). (2016). Advances in Unconventional Computing: Volume 1: Theory (Vol. 22). Springer. 2. Waser, R. (2012). Nanoelectronics and information technology. John Wiley & Sons. 3. Iniewski, K. (2010). Nanoelectronics: nanowires, molecular electronics, and nanodevices. McGraw Hill Professional. 4. Stanisavljević, M., Schmid, M, Leblebici, Y. (2010). Reliability of Nanoscale Circuits and Systems: Methodologies and Circuit Architectures, Springer. 5. Adamatzky, A., Bull, L., Costello, B. L., Stepney, S., Teuscher, C. (2007). Unconventional Computing, Luniver Press. 6. Zomaya, Y. (2006). Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies, Springer. 7. Yanushkevich, S., Shmerko, V., Lyshevski, S. (2005). Logic Design of NanoICs, CRC Press. | |||||||||||||||
| Teaching Methods | Contact hours using “Flipped Classroom” as an active learning technique. | |||||||||||||||
| Homework and Projects | Presentations are made individually or in groups depending on class size. Presentation topics will be posted. | |||||||||||||||
| Laboratory Work | - | |||||||||||||||
| Computer Use | Circuit CAD tools are used. | |||||||||||||||
| Other Activities | - | |||||||||||||||
| Assessment Methods |
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| Course Administration |
altunm@mef.edu.tr - Instructor’s office and phone number: 5th Floor |
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| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 2 | 3 | 70 | |||
| Presentations / Seminar | 1 | 15 | 2 | 17 | |||
| Project | 1 | 30 | 2 | 2 | 34 | ||
| Homework Assignments | 4 | 6 | 2 | 32 | |||
| Total Workload | 153 | ||||||
| Total Workload/25 | 6.1 | ||||||
| ECTS | 6 | ||||||