ELE 523E

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== Announcements ==
 
== Announcements ==
  
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Nov. 27th</span> [[Media:ele523e-2018-fall-hw-02-solutions.pdf | '''Click here''']] for the solutions of the second homework.
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* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Dec. 20th</span> [[Media:ele523e-2020-fall-final-project.pdf | '''The final project''']] has been posted that is due '''25/1/2021''' before 23:59.
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Nov. 26th</span> [[Media:ele523e-2018-fall-student-presentation-topics.pdf | '''Presentation rules and topics''']] have been posted.
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* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Dec. 6th</span> [[Media:ele523e-2020-fall-student-presentation-topics.pdf | '''Presentation rules and schedule''']] have been posted.
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Nov. 26th</span> [[Media:ele523e-2018-fall-hw-04.pdf | '''The fourth homework''']] has been posted that is due '''10/12/2018''' before 13:30.
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* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Dec. 12th</span> [[Media:ele523e-2020-fall-hw-04.pdf | '''The fourth homework''']] has been posted that is due '''28/12/2020''' before 13:30.
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Nov. 12th</span> [[Media:ele523e-2018-fall-hw-03.pdf | '''The third homework''']] has been posted that is due '''26/11/2018''' before 13:30.
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* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Nov. 30th</span> [[Media:ele523e-2020-fall-hw-03.pdf | '''The third homework''']] has been posted that is due '''14/12/2020''' before 13:30.
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Nov. 6th</span> To see your final grades [[Media:ele523e-2018-fall-grades.pdf | '''click here''']].
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* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Nov. 16th</span> [[Media:ele523e-2020-fall-hw-02.pdf | '''The second homework''']] has been posted that is due '''30/11/2020''' before 13:30.
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Oct. 15th</span> [[Media:ele523e-2018-fall-hw-02.pdf | '''The second homework''']] has been posted that is due '''30/10/2018''' before 13:30.
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* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Nov. 2nd</span> [[Media:ele523e-2020-fall-hw-01.pdf | '''The first homework''']] has been posted that is due '''16/11/2020''' before 13:30.
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Oct. 1st</span> [[Media:ele523e-2018-fall-hw-01.pdf | '''The first homework''']] has been posted that is due '''15/10/2018''' before 13:30.
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* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Oct. 19th</span> Lectures are given online using Zoom that can be accessed via [http://ninova.itu.edu.tr/tr/ Ninova].
* <span style="background:#4682B4; color:#FFFFFF; font-size: 100%;"> Sept. 17th</span> The course is given in the '''Bedri Karafakioğlu''' seminar room (2419 third floor), EEF.
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== Overview ==
 
== Overview ==
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== Syllabus ==
 
== Syllabus ==
<div style="font-size: 120%;"> '''ELE 523E: Computational Nanoelectronics''', CRN: 14785, Mondays 13:30-16:30, Room: 2419 (Bedri Karafakioğlu Seminar Room-EEF third floor), Fall 2018. </div>  
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<div style="font-size: 120%;"> '''ELE 523E: Computational Nanoelectronics''', CRN: 13449, Mondays 13:30-16:30, Online using Zoom via Ninova, Fall 2020. </div>  
 
{| border="1" cellspacing="0" cellpadding="5" " width="80%"
 
{| border="1" cellspacing="0" cellpadding="5" " width="80%"
 
    
 
    
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|  <div style="font-size: 120%;"> '''Grading'''</div>
 
|  <div style="font-size: 120%;"> '''Grading'''</div>
 
         ||  
 
         ||  
* Homework: '''20%'''
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* Homework: '''40%'''
** 4 homeworks (5% each)
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** 4 homeworks (10% each)
 
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* Midterm Exam: '''20%'''
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** The midterm is during the lecture time on '''3/12/2018'''.
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* Presentation: '''20%'''
 
* Presentation: '''20%'''
 
** Presentations are made individually or in groups depending on class size.
 
** Presentations are made individually or in groups depending on class size.
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* Homeworks are due at the beginning of class. Late homeworks will be downgraded by '''20%''' for each day passed the due date.  
 
* 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.
 
* 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.
 
* Collaboration is '''not''' permitted for the final project.
 
|}
 
|}
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|| <div style="font-size: 120%;"> '''Topic'''</div>
 
|| <div style="font-size: 120%;"> '''Topic'''</div>
 
|-  
 
|-  
|  Week  1, 17/9/2018       || Introduction  
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|  Week  1, 19/10/2020       || Introduction  
 
|-  
 
|-  
|  Week  2, 24/9/2018       || Overview of emerging nanoscale devices and switches  
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|  Week  2, 26/10/2020       || Overview of emerging nanoscale devices and switches  
 
|-  
 
|-  
|  Week  3, 1/10/2018       || Reversible quantum computing, reversible circuit analysis and synthesis
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|  Week  3, 2/11/2020       || Reversible quantum computing, reversible circuit analysis and synthesis
 
|-  
 
|-  
|  Week 4, 8/10/2018 || Molecular computing with individual molecules and DNA strand displacement
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|  Week 4, 9/11/2020 || 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
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|  Week 5, 16/11/2020   || 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
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|  Week 6, 23/11/2020   ||  Probabilistic/Stochastic and approximate computing
 
|-  
 
|-  
|  Week 7, 29/10/2018 || HOLIDAY, no class  
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|  Week 7, 30/11/2020 || Probabilistic/Stochastic and approximate computing  
 
|-
 
|-
|  Week  8, 5/11/2018     || HOLIDAY, no class      
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|  Week  8, 7/12/2020     || Defects, faults, errors, and their analysis and tolerance      
 
|-  
 
|-  
|  Week  9, 12/11/2018     || Approximate computing and Bayesian networks
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|  Week  9, 14/12/2020     || Overview of presentation schedule
 
|-  
 
|-  
|  Week 10, 19/11/2018 || Defects, faults, errors, and their analysis
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|  Week 10, 21/12/2020 || Student presentations
 
|-  
 
|-  
|  Week  11, 26/11/2018     || Permanent and transient (concurrent) fault tolerance: error detecting and correcting 
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|  Week  11, 28/12/2020     || Student presentations
 
|-  
 
|-  
|  Week 12, 3/12/2018    || MIDTERM 
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|  Week 12, 4/1/2021 || Student presentations
 
|-  
 
|-  
|  Week 13, 10/12/2018 || Overview of the midterm, presentation schedule, and final project
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|  Week 13, 11/1/2021 || Student presentations
 
|-  
 
|-  
|  Week 14, 17/12/2018 || Student presentations
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|  Week 14, 18/1/2021 || Final project questions and answers
|-
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|  Week 15, 24/12/2018 || Student presentations
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|}
 
|}
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!Lecture Slides !! Lecture Slides !!  Homeworks !! Presentations & Exams & Projects
 
!Lecture Slides !! Lecture Slides !!  Homeworks !! Presentations & Exams & Projects
 
|-  
 
|-  
| [[Media:ele523e-2018-fall-w1-introduction.pptx | W1: Introduction]] ||  [[Media:ele523e-2018-fall-w6-probabilistic-computing.pptx | W6: Probabilistic Computing]]  ||  [[Media:ele523e-2018-fall-hw-01.pdf | Homework 1]] || [[Media:ele523e-2018-fall-student-presentation-topics.pdf | Presentation Rules and Topics]]   
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| [[Media:ele523e-2020-fall-w1-introduction.pptx | W1: Introduction]] ||  [[Media:ele523e-2020-fall-w5-nano-array-based-computing.pptx | W5: Nanoarray based Computing]]  ||  [[Media:ele523e-2020-fall-hw-01.pdf | Homework 1]] ||   [[Media:Ele523e-2020-fall-student-presentation-topics.pdf | Presentation Rules and Topics]]   
|-
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| [[Media:ele523e-2018-fall-w2-emerging-computing.pptx | W2: Emerging Computing]]  ||    [[Media:ele523e-2018-fall-w9-approximate-computing-and-Bayesian-networks.pptx | W9: Approximate Computing & Bayesian Networks]]  || [[Media:ele523e-2018-fall-hw-02.pdf | Homework 2]]  ||    [[Media:ele523e-2018-fall-midterm.pdf | Midterm]]
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|-
 
|-
| [[Media:ele523e-2018-fall-w3-reversible-quantum-computing.pptx | W3: Reversible Quantum Computing]]  || [[Media:ele523e-2018-fall-w10-fault-analysis.pptx | W10: Faults and Their Analysis]]  ||[[Media:ele523e-2018-fall-hw-03.pdf | Homework 3]]  ||
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| [[Media:ele523e-2020-fall-w2-emerging-computing.pptx | W2: Emerging Computing]]  ||   [[Media:ele523e-2020-fall-w6-probabilistic-approximate-computing.pptx | W6-W7: Probabilistic and Approximate Computing]]  || [[Media:ele523e-2020-fall-hw-02.pdf | Homework 2]]  ||   [[Media:ele523e-2020-fall-final-project.pdf | Final Project]]
 
|-
 
|-
| [[Media:ele523e-2018-fall-w4-molecular-computing.pptx | W4: Molecular Computing]]   ||  [[Media:ele523e-2018-fall-w11-fault-tolerance.pptx | W11: Fault Tolerance for Nano Electronics]]   || [[Media:ele523e-2018-fall-hw-04.pdf | Homework 4]] ||    
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| [[Media:ele523e-2020-fall-w3-reversible-quantum-computing.pptx | W3: Reversible Quantum Computing]] ||  [[Media:ele523e-2020-fall-w8-fault-analysis-tolerance.pptx | W8-W9: Fault Analysis and Tolerance]]     || [[Media:ele523e-2020-fall-hw-03.pdf | Homework 3]]   ||  
 
|-
 
|-
| [[Media:ele523e-2018-fall-w5-nano-array-based-computing.pptx | W5: Nanoarray based Computing]]     ||   || ||  
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| [[Media:ele523e-2020-fall-w4-molecular-computing.pptx | W4: Molecular Computing]]   ||   ||   [[Media:ele523e-2020-fall-hw-04.pdf | Homework 4]]  |
 
|}
 
|}

Latest revision as of 14:41, 20 December 2020

Contents

[edit] Announcements

[edit] 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 CMOS-based. 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 (college-level) 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 nano-crossbar 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.

[edit] Syllabus

ELE 523E: Computational Nanoelectronics, CRN: 13449, Mondays 13:30-16:30, Online using Zoom via Ninova, Fall 2020.
Instructor

Mustafa Altun

  • Email: altunmus@itu.edu.tr
  • Tel: 02122856635
  • Office hours: 14:00 – 15:00 on Wednesdays in Room:3005, EEF (or stop by my office any time)
Grading
  • Homework: 40%
    • 4 homeworks (10% each)
  • Presentation: 20%
    • Presentations are made individually or in groups depending on class size.
    • Presentation topics will be posted.
  • Final Project: 40%
Reference Books
  • Adamatzky, A. (Ed.). (2016). Advances in Unconventional Computing: Volume 1: Theory (Vol. 22). Springer.
  • Waser, R. (2012). Nanoelectronics and information technology. John Wiley & Sons.
  • Iniewski, K. (2010). Nanoelectronics: nanowires, molecular electronics, and nanodevices. McGraw Hill Professional.
  • Stanisavljević, M., Schmid, M, Leblebici, Y. (2010). Reliability of Nanoscale Circuits and Systems: Methodologies and Circuit Architectures, Springer.
  • Adamatzky, A., Bull, L., Costello, B. L., Stepney, S., Teuscher, C. (2007). Unconventional Computing, Luniver Press.
  • 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.
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.
  • Collaboration is not permitted for the final project.

[edit] Weekly Course Plan

Date
Topic
Week 1, 19/10/2020 Introduction
Week 2, 26/10/2020 Overview of emerging nanoscale devices and switches
Week 3, 2/11/2020 Reversible quantum computing, reversible circuit analysis and synthesis
Week 4, 9/11/2020 Molecular computing with individual molecules and DNA strand displacement
Week 5, 16/11/2020 Computing and logic synthesis with switching nano arrays including memristor arrays
Week 6, 23/11/2020 Probabilistic/Stochastic and approximate computing
Week 7, 30/11/2020 Probabilistic/Stochastic and approximate computing
Week 8, 7/12/2020 Defects, faults, errors, and their analysis and tolerance
Week 9, 14/12/2020 Overview of presentation schedule
Week 10, 21/12/2020 Student presentations
Week 11, 28/12/2020 Student presentations
Week 12, 4/1/2021 Student presentations
Week 13, 11/1/2021 Student presentations
Week 14, 18/1/2021 Final project questions and answers

[edit] 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 W6-W7: Probabilistic and Approximate Computing Homework 2 Final Project
W3: Reversible Quantum Computing W8-W9: Fault Analysis and Tolerance Homework 3
W4: Molecular Computing Homework 4
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