ELE 523E: Computational Nanoelectronics
Contents 
Announcements
 Dec. 7th The final project has been posted that is due 7/1/2019 before 13:30.
 Nov. 27th Click here for the solutions of the second homework.
 Nov. 26th Presentation rules and topics have been posted.
 Nov. 26th The fourth homework has been posted that is due 10/12/2018 before 13:30.
 Nov. 12th The third homework has been posted that is due 26/11/2018 before 13:30.
 Nov. 6th To see your final grades click here.
 Oct. 15th The second homework has been posted that is due 30/10/2018 before 13:30.
 Oct. 1st The first homework has been posted that is due 15/10/2018 before 13:30.
 Sept. 17th The course is given in the Bedri Karafakioğlu seminar room (2419 third 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, 17/9/2018  Introduction 
Week 2, 24/9/2018  Overview of emerging nanoscale devices and switches 
Week 3, 1/10/2018  Reversible quantum computing, reversible circuit analysis and synthesis 
Week 4, 8/10/2018  Molecular computing with individual molecules and DNA strand displacement 
Week 5, 15/10/2018  Computing and logic synthesis with switching nano arrays including memristor arrays 
Week 6, 22/10/2018  Probabilistic/Stochastic computing with random bit streams and probabilistic switches 
Week 7, 29/10/2018  HOLIDAY, no class 
Week 8, 5/11/2018  HOLIDAY, no class 
Week 9, 12/11/2018  Approximate computing and Bayesian networks 
Week 10, 19/11/2018  Defects, faults, errors, and their analysis 
Week 11, 26/11/2018  Permanent and transient (concurrent) fault tolerance: error detecting and correcting 
Week 12, 3/12/2018  MIDTERM 
Week 13, 10/12/2018  Overview of the midterm, presentation schedule, and final project 
Week 14, 17/12/2018  Student presentations 
Week 15, 24/12/2018  Student presentations 
Course Materials
Lecture Slides  Lecture Slides  Homeworks  Presentations & Exams & Projects 

W1: Introduction  W6: Probabilistic Computing  Homework 1  Presentation Rules and Topics 
W2: Emerging Computing  W9: Approximate Computing & Bayesian Networks  Homework 2  Midterm & Solutions 
W3: Reversible Quantum Computing  W10: Faults and Their Analysis  Homework 3  Final Project 
W4: Molecular Computing  W11: Fault Tolerance for Nano Electronics  Homework 4  
W5: Nanoarray based Computing 