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| − | As current CMOS based technologies are approaching their anticipated limits, emerging nanotechnologies are replacing their role in | + | As current CMOS based technologies are approaching their anticipated limits, emerging nanotechnologies are replacing their role in electronic circuits. This course overviews nanoscale electronics circuits in a comparison with those of conventional CMOS-based. In this course, different emerging computing models are investigated. Regarding the interdisciplinary nature of emerging technologies, this course is appropriate for graduate students in different majors including electrical-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: | Topics that are covered include: | ||
Revision as of 11:52, 13 June 2013
Computational Nanoelectronics
Overview
As current CMOS based technologies are approaching their anticipated limits, emerging nanotechnologies are replacing their role in electronic circuits. This course overviews nanoscale electronics circuits in a comparison with those of conventional CMOS-based. In this course, different emerging computing models are investigated. Regarding the interdisciplinary nature of emerging technologies, this course is appropriate for graduate students in different majors including electrical-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:
- Overview of nanoelectronics (in comparison with CMOS) including CMOL, nanowire arrays, single electron transistors, etc..
- 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.
Instructor
- Email: altunmus@itu.edu.tr
- Tel: 02122856635
