ELE 523E

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{{DISPLAYTITLE: ELE 523E: Computational Nanoelectronics}}
 
{{DISPLAYTITLE: ELE 523E: Computational Nanoelectronics}}
 
== Announcements ==
 
== Announcements ==
 +
 +
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Oct. 12th</span> [[Media:ele523e-2014-fall-hw-02.pdf | '''The second homework''']] has been posted that is due '''27/10/2014''' before 13:30.
 
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Sept. 22nd</span> [[Media:ele523e-2014-fall-hw-01.pdf | '''The first homework''']] has been posted that is due '''8/10/2014''' before 16:30.
 
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Sept. 22nd</span> [[Media:ele523e-2014-fall-hw-01.pdf | '''The first homework''']] has been posted that is due '''8/10/2014''' before 16:30.
 
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Sept. 6th</span>  The class is given in the room '''5206''' (second floor), EEF.
 
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Sept. 6th</span>  The class is given in the room '''5206''' (second floor), EEF.

Revision as of 22:25, 12 October 2014

Contents

Announcements

  • Oct. 12th The second homework has been posted that is due 27/10/2014 before 13:30.
  • Sept. 22nd The first homework has been posted that is due 8/10/2014 before 16:30.
  • Sept. 6th The class is given in the room 5206 (second floor), EEF.

Overview

As current CMOS based technologies are approaching their anticipated limits, emerging nanotechnologies are expected to replace their role in electronic circuits. This course overviews nanoelectronic circuits in a comparison with those of conventional CMOS-based. Deterministic and probobalistic emerging computing models 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 (college-level) knowledge in circuit design and mathematics is assumed. Topics that are covered include:

  • Devices in computational nanoelectronics (in comparison with CMOS) including nano arrays, switches, and transistors.
  • Introduction of emerging computing models in circuit level.
  • Analysis and synthesis of deterministic and probabilistic models.
  • Performance of the computing models regarding area, power, speed, and accuracy.
  • Uncertainty and defects: defect tolerance techniques for permanent and transient errors.

Syllabus

ELE 523E: Computational Nanoelectronics, CRN: 14812, Mondays 13:30-16:30, Room: 5206 (EEF), Fall 2014.
Instructor

Mustafa Altun

  • Email: altunmus@itu.edu.tr
  • Tel: 02122856635
  • Office hours: 13:30 – 15:00 on Thursdays in Room:3005, EEF (or stop by my office any time)
Grading
  • Homework: 15%
    • 3 homeworks (5% each)
  • Midterm Exam: 25%
    • The midterm is during the lecture time on 24/11/2014.
  • Presentation: 20%
    • Presentations are made individually or in groups depending on class size.
    • Presentation topics will be posted.
  • Final Project: 40%
Reference Books
  • Zomaya, Y. (2006). Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies, Springer.
  • Yanushkevich, S., Shmerko, V., Lyshevski, S. (2005). Logic Design of NanoICs, CRC Press.
  • Adamatzky, A., Bull, L., Costello, B. L., Stepney, S., Teuscher, C. (2007). Unconventional Computing, Luniver Press.
  • Stanisavljević, M., Schmid, M, Leblebici, Y. (2010). Reliability of Nanoscale Circuits and Systems: Methodologies and Circuit Architectures, Springer.
  • Sasao, T. (1999). Switching Theory for Logic Synthesis, Springer.
Policies
  • Homeworks are due at the beginning of class. Late homeworks will be downgraded by 20% for each day passed the due date.
  • Collaboration is permitted and encouraged for homeworks, but each collaborator should turn in his/her own answers.
  • The midterm is in closed-notes and closed-books format.
  • Collaboration is not permitted for the final project.

Weekly Course Plan

Date
Topic
Week 1, 8/9/2014 Introduction
Week 2, 15/9/2014 Overview of emerging nanoscale devices and switches
Week 3, 22/9/2014 Quantum computing
Weeks 4, 29/9/2014 Molecular computing
Weeks 5, 6/10/2014 HOLIDAY!, no class
Week 6, 13/10/2014 Computing with nano arrays
Weeks 7, 20/10/2014 Computing with nano arrays
Week 8, 27/10/2014 Probabilistic computing
Week 9, 3/11/2014 Probabilistic computing
Weeks 10, 10/11/2014 Defects and reliability in nanoelectronics
Week 11, 17/11/2014 Defects and reliability in nanoelectronics
Week 12, 24/11/2014 MIDTERM
Weeks 13, 1/12/2014 Student presentations
Weeks 14, 8/12/2014 Student presentations

Course Materials

Lecture Slides Lecture Slides Homeworks Presentations & Exams & Projects
W1: Introduction W4: Molecular Computing Homework 1
W2: Emerging Computing W6: Nanoarray based Computing Homework 2
W3: Quantum Computing
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