ELE 523E: Computational Nanoelectronics
Contents 
Announcements
 Jan. 3rd The final project has been posted that is due 24/1/2022 before 13:30.
 Dec. 3rd Next lectures, first on December 6th, will be done online at ZOOM; link will be shared.
 Dec. 3rd Presentation rules and schedule have been posted.
 Dec. 3rd The fourth homework has been posted that is due 20/12/2021 before 13:30.
 Nov. 15th The third homework has been posted that is due 29/11/2021 before 13:30.
 Oct. 31st The second homework has been posted that is due 15/11/2021 before 13:30.
 Oct. 18th The first homework has been posted that is due 1/11/2021 before 13:30.
 Oct. 7th The class is given in the room 5103 (first floor), EEF.
Overview
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 CMOSbased. Deterministic and probobalistic 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 graduate students in different majors including electronics engineering, control engineering, computer science, applied physics, and mathematics. No prior course is required; only basic (collegelevel) knowledge in circuit design and mathematics is assumed. Topics that are covered include:
 Circuit elements and devices in computational nanoelectronics (in comparison with CMOS) including nanocrossbar and memristor switches, reversible quantum gates, approximate circuits and systems, and emerging transistors.
 Introduction of emerging computing models and algorithms in circuit level.
 Analysis and synthesis of deterministic and probabilistic computing paradigms.
 Performance of the computing models regarding area, power, speed, and accuracy.
 Uncertainty and faults: fault analysis and tolerance techniques for permanent and transient faults.
Syllabus
Instructor


Grading


Reference Books


Policies


Weekly Course Plan
Date

Topic

Week 1, 4/10/2021  Introduction 
Week 2, 11/10/2021  Overview of emerging nanoscale devices and switches 
Week 3, 18/10/2021  Reversible quantum computing, reversible circuit analysis and synthesis 
Week 4, 25/10/2021  Molecular computing with individual molecules and DNA strand displacement 
Week 5, 1/11/2021  Computing and logic synthesis with switching nano arrays including memristor arrays 
Week 6, 8/11/2021  Probabilistic/Stochastic and approximate computing 
Week 7, 15/11/2021  Probabilistic/Stochastic and approximate computing 
Week 8, 22/11/2021  HOLIDAY! 
Week 9, 29/11/2021  Defects, faults, errors, and their analysis and tolerance 
Week 10, 6/12/2021  Overview of presentation schedule 
Week 11, 13/12/2021  Student presentations 
Week 12, 20/12/2021  Student presentations 
Week 13, 27/12/2021  Student presentations 
Week 14, 3/1/2022  Student presentations 
Week 15, 10/1/2022  Final project questions and answers 
Course Materials
Lecture Slides  Lecture Slides  Homeworks  Presentations & Exams & Projects 

W1: Introduction  W5: Nanoarray based Computing  Homework 1  Presentation Rules and Topics 
W2: Emerging Computing  W6W7: Probabilistic and Approximate Computing  Homework 2  Final Project 
W3: Reversible Quantum Computing  W8W9: Fault Analysis and Tolerance  Homework 3  
W4: Molecular Computing  Homework 4 