Engineers are problem solvers...
A good engineer must have a sound understanding of fundamental principles of nature and Mathematics in order to solve challenging problems...
A good engineer must have an excellent time-management skill...
A good engineer must think logically and be creative...
A good engineer must have an excellent communication skill and be a team player...
A good engineering must be a life-long learner...
"The mediocre teacher tells...
The good teacher explains...
The superior teacher demonstrates...
The Great Teacher Inspires!"
-William Arthur Ward
Stimulate critical thinking
Encourage an environment of active and issue-based learning
Follow a bottom-up approach to engineering education that adds a new perspective to materials, devices, and systems to supplement traditional understanding.
Broaden students' perspectives by exposing them to current research initiatives at leading institutions and providing opportunities to engage with ongoing scholarly work.
Class projects acknowledge the current magnitude of commercial science and engineering, and instead of being hypothesis-driven, they focus on end-results/products. The importance of project completion and documentation is emphasized.
Encourage students to collaborate effectively in teams, uphold ethical standards and professional conduct, and recognize the value of lifelong learning.
Quantum phenomena in nanostructures
Conventional and non-conventional semiconductor devices
Devices for energy applications (solid-state lighting, solar cells, and thermoelectrics)
Computational nanoelectronics
Emerging power electronics materials and devices
ECE 345 (Electronics)
ECE 336 (Electric Circuits II)
ECE 447/547 (Semiconductor Devices)
ECE 446/546 (Analog Circuit Design)
ECE 482/582 (Power Electronics)
ECE 484/584 (Hybrid and Electric Vehicles)
ECE 550 (Nanoscale VLSI Devices)
ECE 560 (VLSI Characterization)
ECE 548 (Quantum Phenomena and Devices)
ECE 557 (Computational Electronics)
ECE 557 Computational Electronics I (Device Modeling and TCAD Simulations)
ECE 593M/559 (TBD) Computational Electronics II [multiscale modeling and simulations: ab initio, MD, empirical, transport (SE-liuoville-wigner-BTE-HD-DD-compact), response (magnetic, optical, thermal coupling)]
(Link to lectures on Computational Physics at Oregon State)
ECE592 Atomistic Computer Modeling of Materials and a nanoHUB course is here
ECE 592 Supriyo Datta's Quantum Transport course on nanoHUB)
ECE 592 Introduction to Nanoelectronics (Supriyo Datta's course on nanoHUB)
MATH 475-6 (3, 3) Numerical Analysis
(ECE 592 MIT courses: Linear Algebra Computational Science and Engineering I Mathematical Methods for Engineers II Finite Element Analysis)
CS 520 Introduction to Parallel Programming (a similar MIT Course is here)
PHY 430-3 Quantum Mechanics I
PHY 425-3 Solid State Physics I
ECE 593M Solid-State Theory of Electronic Materials
ECE 447/547 Semiconductor Devices (Moore Devices; ECE 592 Principles of Semiconductor Devices on nanoHUB.org)
ECE 550 Nanoscale VLSI Devices (More-Moore Devices)
ECE 560 VLSI Material and Device Characterization (VLSI Processing and Characterization; materials and IC processing; characterization techniques; device reliability)
(good resources on nanoHUB are Nanomaterials, Fundamentals of Atomic Force Microscopy, Transmission Electron Microscopy Skills, Device Reliability tutorials, nanoHUB course on Reliability)
ECE 545 Advanced Semiconductor Devices (More-than-Moore Devices; Theory of transition rates; Devices: memory; energy-related: solar, LEDs/SSLs, thermoelectrics, batteries; biomedical/environment; consumer electronics: CCDs, LCDs)
ECE 548 Quantum Phenomena and Devices (quantum charge, spin, computing)
ECE 541 Quantum Information Processing and Devices
ECE 329/429/529 (Computer Architecture)
ECE 426/516 (VLSI-HDL)
ECE 524 (Synthesis and Verification using Verilog)
Digital/ASIC Circuits: ECE 423/513, ECE 528, ECE 523 (low-power VLSI), ECE 515 (3-D IC)
Analog: ECE 446, ECE 543 (Analog VLSI), ECE 531 (Mixed-Signal VLSI Design), ECE 540 (RF ICs)
Embedded: ECE 514
ECE 425/525 (Physical Design Automation)
ECE 521/ (Fault-Tolerant IC Design)
ECE 522 (VLSI Circuit Testing)
ECE 468 Digital Signal Processing or, ECE 558 Digital Image Processing I
ECE 477 Fields & Waves I (a similar MIT Course is here)
ECE 483 Power Electronics