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Department of Electrical and Computer Engineering

Graduate Courses

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

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:

  1. Fundamentals of Modern VLSI Devices”, Y. Taur, T.H. Ning, Cambridge University Press, 1998.

References:

  1. “Advanced MOS Devices”, Dieter Schroder, Addison Wesley Longman, November, 1987.

  2. “Physics of Semiconductor Devices”, S.M. Sze, Kwok K. Ng, Publisher: John Wiley and Sons Inc., 2006.

  3. “Silicon-on-Insulator Technology: Materials to VLSI”, 2nd Ed., J.P. Colinge, Kluwer, 1997.

Goals:

  1. 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.

  2. 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.

  3. Various figures of merit widely used for efficient device design and performance study will be addressed.

  4. Understand various higher order effects (e.g. short channel effects, quantum effects, discrete dopants and process variation) that influence today's nanoscale devices.

  5. Various problems/challenges and technological bottlenecks in the realization of nanoelectronic devices with desired and optimum performance will be discussed.

  6. 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.

  7. Communicate efficiently with the circuit/system designers and the science persons and give them essential feedback from device point of view.

Projects:

  1. 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.

  2. Demonstrate how computer programming (Matlab/Fortran/C/others) can facilitate learning of nanoscale phenomena and device design.

Major CAD Packages:

  1. 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