COURSE DESCRIPTION AND APPLICATION INFORMATION
| Course Name | Code | Semester | T+A+L (hour/week) | Type (C / O) | Local Credit | ECTS |
|---|---|---|---|---|---|---|
| Design of Nano-Computers | CMPE 417 | Fall | 03+00+00 | Elective | 3 | 5 |
| Academic Unit: | Faculty of Science and Engineering / Computer Engineering |
| Mode of Delivery: | Face to face |
| Prerequisites: | - |
| Language of Instruction: | English |
| Level of Course Unit: | Undergraduate |
| Course Coordinator: | Nima Jafari NAVİMİPOUR |
| Course Lecturer(s): | Nima Jafari NAVİMİPOUR |
| Course Objectives: | Designing basic logic gates and circuits using innovative technologies like Reversible logic and Quantum Dot Cellular Automata (QCA). Analyzing the challenges and opportunities presented by nanoscale computing, including fault tolerance and error probability. Utilizing industry-standard tools like QCADesigner to simulate and analyze quantum circuits |
| Course Contents: | In this course, students will learn to design basic logic gates and synthesize more complex circuits using reversible logic principles. Also, they will discover QCA, a revolutionary nanotechnology for computation. Master the design of fundamental logic gates like AND, OR, and NOT using QCA cells and build more complex circuits such as adder, decoder, multiplexer etc. |
| Learning Outcomes of the Course Unit (LO): |
|
| Planned Learning Activities and Teaching Methods: | Class presentations and notes, together with some academic articles on the subject |
WEEKLY SUBJECTS AND RELATED PREPARATIONS
| Week | Subjects | Related Preperation |
|---|---|---|
| 1 | History of Computers and Future of Nanotechnology Computers | Lecture slides and Book and Journals articles |
| 2 | Introduction to Nanotechnology | Lecture slides and Book and Journals articles |
| 3 | Nano-scale Circuits | Lecture slides and Book and Journals articles |
| 4 | Reversible Logic | Lecture slides and Book and Journals articles |
| 5 | Designing Circuits using Reversible Logic | Lecture slides and Book and Journals Articles |
| 6 | Quantum Dots Cellular Automata | Lecture slides and Book and Journals Articles |
| 7 | Midterm | Lecture slides and Book and Journals Articles |
| 8 | Designing Nano-scale basic gates using QCA technology | Lecture slides and Book and Journals Articles |
| 9 | Designing Nano-scale circuits using QCA technology | Lecture slides and Book and Journals Articles |
| 10 | Fault-tolerant at QCA technology | Lecture slides and Book and Journals Articles |
| 11 | Error probability at QCA technology | Lecture slides and Book and Journals Articles |
| 12 | Design reversible circuits using QCADesigner | Lecture slides and Book and Journals Articles |
| 13 | Silicon Atomic Dangling Bond Logic | Lecture slides and Book and Journals Articles |
| 14 | Presentation | Lecture slides and Book and Journals Articles |
At Kadir Has University, a Semester is 14 weeks; The weeks 15 and 16 are reserved for final exams.
REQUIRED AND RECOMMENDED READING
| Sasamal, T. N., Singh, A. K., & Mohan, A. (2020). Quantum-dot cellular automata based digital logic circuits: a design perspective. Taha, S. M. R. (2016). Reversible logic synthesis methodologies with application to quantum computing (Vol. 37). Switzerland: Springer. Abdessaied, N., & Drechsler, R. (2016). Reversible and quantum circuits. Optimization and Complexity Analysis. Springer, Cham. |
OTHER COURSE RESOURCES
ASSESSMENT METHODS AND CRITERIA
| Semester Requirements | Number | Percentage of Grade (%) |
|---|---|---|
| Presentation / Jury | - | 20 |
| Midterms / Oral Exams / Quizes | 1 | 50 |
| Final Exam | 1 | 50 |
| Total: | 2 | 120 |
WORKLOAD
| Events | Count | Duration (Hours) | Total Workload (hour) |
|---|---|---|---|
| Course Hours | 14 | 2 | 28 |
| Practice / Exercise | 14 | 1 | 14 |
| Preparation for Presentation / Jury | 1 | 25 | 25 |
| Midterms / Oral Exams / Quizes | 1 | 30 | 30 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (hour): | 127 | ||
1 ECTS = 25 Hours Workload
THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES (LO) AND PROGRAM QUALIFICATIONS (PQ)
| # | PQ1 | PQ2 | PQ3 | PQ4 | PQ5 | PQ6 | PQ7 | PQ8 | PQ9 | PQ10 | PQ11 | PQ12 | PQ13 |
| LO1 | |||||||||||||
| LO2 | |||||||||||||
| LO3 |
Contribution: 1 Low, 2 Average, 3 High