ECE 521 Fault-Tolerant
Computer Design
ECE 522 VLSI Circuit Testing
ECE 523 Low Power VLSI
Design
ECE 524 Synthesis &
Verification of Digital Circuits
ECE 525 Physical Design
Automation
ECE 526 Network Processing Systems Design
ECE 527 Switching Circuit
Theory
ECE 528 Advanced Computer
Architecture
ECE 529 Analog-to-Digital
Conversion & Related Devices
ECE 531 Mixed-Signal VLSI
Design
ECE 532 Optimization Aspects
of Computer Architecture
ECE 537 Integrated Photonics
ECE 540 CMOS Radio-Frequency Integrated Circuit Disigner II
ECE 541 Nanofabrication
ECE 542 Optical Information
Processing
ECE 543 Analog VLSI
ECE 545 Advanced Semiconductor Devices
ECE 546 Gaseous Electronics
ECE 547 Solid-State Theory
of Electronic Materials
ECE 548 Advanced Electronic
Devices
ECE 549 Fiber Optic
Communications
ECE 550 Nanoelectronics Devices
ECE 551 Probability & Random
Processes
ECE 552 Detection Theory
ECE 553 Data Communication
Networks
ECE 554 Spread Spectrum
Communication
ECE 555 Information Theory
ECE 556 Digital
Communications
ECE 558 Digital Image
Processing I
ECE 563 Estimation Theory &
Filtering
ECE 564 Optimal Control
ECE 565 Nonlinear Systems
Analysis
ECE 566 Adaptive Control
ECE 567 Modern Biomedical Imaging
ECE 568 Pattern
Classification
ECE 571 Wireless & Personal
Communication Systems
ECE 572 Neural Networks
ECE 573 Fields & Waves II
ECE 574 Nonlinear Optics
ECE 576 Numerical
Electromagnetics
ECE 577 Antennas II
ECE 578 Digital Image
Processing II
ECE 579 Microwave
Engineering II
ECE 580 Seminar
ECE 582 HVDC Transmission
ECE 583 Advanced
Applications of Power Electronic Systems
ECE 584 Linear & Non-Linear
Networks
ECE 585 Power System Stability & Control
ECE 586 Power Systems
Analysis II
ECE 587 Power Systems
Operation & Control
ECE 588 Advanced Electrical Network Theory
ECE 589 Planning &
Automation of Electric Power Distribution System
ECE 592 Special
Investigation in Elect & Computer Engineering
ECE 593 Advanced Topics in Elect & Computer Engineering
ECE 595 Technical Communications
ECE 599 Master of Science Thesis
ECE 600 Doctoral Dissertation
ECE 601 Continuing Enrollment
ENGR 521 Probability and Random Processes
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ECE 550 Nanoelectronic Devices
(A) NanoTransistor: MOSFETs. Advanced MOSFETs—SOI, FinFETs,
SiGe, carbon nanotubes and ribbons, nanowires. Quantum devices—RTD, tunnel FET,
qubits. Non-charge based devices—spinFET; (B) NanoMemory: DRAM, Flash, Ovonic,
Electrolyte, M/F RAM, Spin torque devices; (C) Energy Conversion Devices: Solar
cell and DSSC, Quantum dots, SSL; (D) NanoBio Devices: Biosensor, Ion channels.
Credit Hours: 3 Lecture
Prerequisites: ECE
447, ECE 345, or consent of
instructor.
Course Coordinator:
Shaikh S.
Ahmed
Textbooks:
“Fundamentals
of Modern VLSI Devices”, Y. Taur, T.H. Ning, Cambridge University
Press, 1998.
References:
“Advanced MOS Devices”, Dieter Schroder, Addison Wesley Longman, November, 1987.
“Physics of Semiconductor Devices”, S.M. Sze, Kwok K. Ng, Publisher: John Wiley and
Sons Inc., 2006.
“Silicon-on-Insulator Technology: Materials to VLSI”, 2nd Ed., J.P. Colinge, Kluwer, 1997.
Goals:
Give a general introduction to different types of
conventional and novel nanoelectronic devices for different applications.
The target applications are switching, memory, energy conversion/storage,
and bionanoelectronics.
-
Understand the underlying physical processes governing the
operation of these devices. Understanding of these processes would build on
earlier semiconductor device courses, which introduced the student to the
basic device concepts.
-
Various figures of merit widely used for efficient device
design and performance study will be addressed.
Understand various higher order effects (e.g. short
channel effects, quantum effects, discrete dopants and process variation)
that influence today's nanoscale devices.
Various problems/challenges and technological
bottlenecks in the realization of nanoelectronic devices with desired and
optimum performance will be discussed.
Study different novel and exploratory devices and
alternative technologies (non-charge based and fully quantum computation and
information processing) as means of sustaining the semiconductor industries’
growth in the coming years.
Communicate efficiently with the circuit/system
designers and the science persons and give them essential feedback from
device point of view.
Projects:
Students will be using in-house and freely available
software tools to study and analyze various aspects of nanoelectronic
devices and expected to generate novel design ideas and find solutions to
these technological problems.
Demonstrate how computer programming
(Matlab/Fortran/C/others) can facilitate learning of nanoscale phenomena and
device design.
Major CAD Packages:
Students will be using in-house (synopsis taurus) and freely
available software tools on NSF supported computational infrastructure
nanoHUB.org
Last Review: Spring Semester 2009
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