INTRO-ELECTRICAL ENGINEERING

Basic concepts of electrical engineering. Exploration of selected topics and their application. Electrical variables, circuit laws, nonlinear and linear elements, ideal and real sources, transducers, operational amplifiers in simple circuits, external behavior of diodes and transistors, first order RC and RL circuits. Digital representation of a signal, digital logic gates, flipflops. A lab is an integral part of the course. Required of electrical engineering and computer engineering majors.

• MW 4:10 p.m.-5:25 p.m.
• Instructor: David G Vallancourt
  CULPA: 28 Info
• 3.5 points

DIGITAL SYSTEMS LABORATORY

Companion lab course for CSEE W3827. Experiments cover such topics as logic gates; flip-flops; shift registers; counters; combinational logic circuits; sequential logic circuits; programmable logic devices. The lab generally meets on alternate weeks.

• M 4:10 p.m.-6:40 p.m.
• T 4:10 p.m.-6:40 p.m.
• F 1:10 p.m.-3:40 p.m.
• Instructor: Kenneth Shepard
  CULPA: 2 Wikipedia h-index: 64 Info
• 1 points

ELECTRONIC CIRCUITS LABORATORY

Companion lab course for ELEN E3331. Experiments cover such topics as macromodeling of nonidealities of opamps using SPICE; Schmitt triggers and astable multivibrations using op-amps and diodes; logic inverters and amplifiers using bipolar junction transistors; logic inverters and ring oscillators using MOSFETs; filter design using opamps. The lab generally meets on alternate weeks.

• M 4:10 p.m.-6:40 p.m.
• T 4:10 p.m.-6:40 p.m.
• F 1:10 p.m.-3:40 p.m.
• Instructor: Charles A Zukowski
  CULPA: 5 Wikipedia Info
• 1 points

ELECTRONIC CIRCUITS

Operational amplifier circuits. Diodes and diode circuits. MOS and bipolar junction transistors. Biasing techniques. Small-signal models. Single-stage transistor amplifiers. Analysis and design of CMOS logic gates. A/D and D/A converters.

• MW 11:40 a.m.-12:55 p.m.
• Instructor: David G Vallancourt
  CULPA: 28 Info
• 3 points

EE SENIOR DESIGN PROJECT

Students work in teams to specify, design, implement and test an engineering prototype. Involves technical as well as non-technical considerations, such as manufacturability, impact on the environment, economics, adherence to engineering standards, and other real-world constraints. Projects are presented publicly by each design team in a school-wide expo.

• TR 11:40 a.m.-12:55 p.m.
• F 6 p.m.-7 p.m.
• Instructor: David G Vallancourt
  CULPA: 28 Info
• 3 points

ELECTROMAGNETICS

Basic field concepts. Interaction of time-varying electromagnetic fields. Field calculation of lumped circuit parameters. Transition from electrostatic to quasistatic and electromagnetic regimes. Transmission lines. Energy transfer, dissipation, and storage. Waveguides. Radiation.

• MW 2:40 p.m.-3:55 p.m.
• F 2:40 p.m.-3:55 p.m.
• Instructor: Keren Bergman
  CULPA: 1 Wikipedia h-index: 69 Info
• 4 points

INTRO TO COMMUNICATION SYSTEMS

A basic course in communication theory, stressing modern digital communication systems. Nyquist sampling, PAM and PCM/DPCM systems, time division multipliexing, high frequency digital (ASK, OOK, FSK, PSK) systems, and AM and FM systems. An introduction to noise processes, detecting signals in the presence of noise, Shannons theorem on channel capacity, and elements of coding theory.

• TR 2:40 p.m.-3:55 p.m.
• Instructor: Irving Kalet
  CULPA: 3 h-index: 12 Info
• 3 points

FIELDWORK

May be repeated for credit, but no more than 3 total points may be used for degree credit. Only for Electrical Engineering and Computer Engineering undergraduate students who include relevant off-campus work experience as part of their approved program of study. Final report and letter of evaluation required. May not be used as technical or nontechnical electives or to satisfy any other Electrical Engineering or Computer Engineering major requirements. May not be taken for pass/fail credit or audited.

• Instructor: Charles A Zukowski
  CULPA: 5 Wikipedia Info
• 1-2 points

PROJECTS IN ELEC ENGINEERING

May be repeated for credit, but no more than 3 total points may be used for degree credit. Independent project involving laboratory work, computer programming, analytical investigation, or engineering design.

• Instructor: Dimitris Anastassiou
  Wikipedia Info
• Instructor: Keren Bergman
  CULPA: 1 Wikipedia h-index: 69 Info
• Instructor: Shih-Fu Chang
  CULPA: 3 Wikipedia h-index: 122 Info
• Instructor: Javad Ghaderi
  h-index: 17 Info
• Instructor: Christine P Hendon
  Wikipedia h-index: 21 Info
• Instructor: Predrag R Jelenkovic
  CULPA: 1 h-index: 35 Info
• Instructor: Xiaofan Jiang
  h-index: 24 Info
• Instructor: Ethan Katz-Bassett
  h-index: 31 Info
• Instructor: Dion Khodagholy Araghy
  Info
• Instructor: Peter Kinget
  CULPA: 1 h-index: 47 Info
• Instructor: Zoran Kostic
  CULPA: 1 h-index: 24 Info
• Instructor: Harish Krishnaswamy
  Info
• Instructor: Ioannis Kymissis
  CULPA: 4 h-index: 48 Info
• Instructor: Aurel A Lazar
  h-index: 53 Info
• Instructor: Michal Lipson
  CULPA: 1 Wikipedia h-index: 114 Info
• Instructor: Nima Mesgarani
  h-index: 35 Info
• Instructor: Debasis Mitra
  Wikipedia h-index: 61 Info
• Instructor: John W Paisley
  CULPA: 1 Info
• Instructor: Matthias Preindl
  h-index: 26 Info
• Instructor: Mingoo Seok
  h-index: 31 Info
• Instructor: Kenneth Shepard
  CULPA: 2 Wikipedia h-index: 64 Info
• Instructor: Tanvir Ahmed Khan
  Info
• Instructor: Yannis P Tsividis
  CULPA: 4 Wikipedia Info
• Instructor: David G Vallancourt
  CULPA: 28 Info
• Instructor: Wen I Wang
  CULPA: 1 Info
• Instructor: Xiaodong Wang
  CULPA: 15 Info
• Instructor: John Wright
  CULPA: 1 h-index: 44 Info
• Instructor: Charles A Zukowski
  CULPA: 5 Wikipedia Info
• Instructor: Gil Zussman
  CULPA: 3 h-index: 39 Info
• 0-3 points

Computing with Brain Circuits of Model O

Building the functional map of the fruit fly brain. Molecular transduction and spatio-temporal encoding in the early visual system. Predictive coding in the Drosophila retina. Canonical circuits in motion detection. Canonical navigation circuits in the central complex. Molecular transduction and combinatorial encoding in the early olfactory system. Predictive coding in the antennal lobe. The functional role of the mushroom body and the lateral horn. Canonical circuits for associative learning and innate memory. Projects in Python.

• M 7 p.m.-9:30 p.m.
• Instructor: Aurel A Lazar
  h-index: 53 Info
• 3 points

COMMUNICATION CIRCUITS

Principles of electronic circuits used in the generation, transmission, and reception of signal waveforms, as used in analog and digital communication systems. Nonlinearity and distortion; power amplifiers; tuned amplifiers; oscillators; multipliers and mixers; modulators and demodulators; phase-locked loops. An extensive design project is an integral part of the course.

• T 4:10 p.m.-6:40 p.m.
• Instructor: Emily Naviasky
  Info
• 3 points

WAVE TRANSMISSION-FIBER OPTICS

Waves and Maxwell’s equations. Field energetics, dispersion, complex power. Waves in dielectrics and in conductors. Reflection and refraction. Oblique incidence and total internal reflection. Transmission lines and conducting waveguides. Planar and circular dielectric waveguides; integrated optics and optical fibers. Hybrid and LP modes. Graded-index fibers. Mode coupling; wave launching.

• MW 2:40 p.m.-3:55 p.m.
• Instructor: Xiang Meng
  h-index: 8 Info
• 3 points

SOL ENERGY/SMART GRID POWR SYS

• R 7 p.m.-9:30 p.m.
• Instructor: Mohamed Kamaludeen
  Info
• 3 points

DIGITAL COMMUNICATIONS

Digital communications for both point-to-point and switched applications is further developed. Optimum receiver structures and transmitter signal shaping for both binary and M-ary signal transmission. An introduction to block codes and convolutional codes, with application to space communications.

• W 7 p.m.-9:30 p.m.
• Instructor: Alexei Ashikhmin
  Info
• 3 points

Machine Learning for Signals, Informatio

ML FOR SIG, INF

• W 4:10 p.m.-6:40 p.m.
• Instructor: John W Paisley
  CULPA: 1 Info
• 3 points

Quantum Optimization and Machine Learnin

QUANTUM OPT & ML

An introduction to the recent development in quantum optimization and quantum machine learning using gate-based Noisy Intermediate Scale Quantum (NISQ) computers. IBM’s quantum programming framework Qiskit is utilized. Qbits, quantum gates and quantum measurements, quantum algorithms (Grover’s search, Simon’s algorithm, quantum Fourier transform, quantum phase estimation) quantum optimization (quantum annealing, QAOA, variational quantum eigensolver), quantum machine learning (quantum support vector machine, quantum neural networks).

• F 1:10 p.m.-3:40 p.m.
• Instructor: Xiaodong Wang
  CULPA: 15 Info
• 3 points

RANDOM SIGNALS & NOISE

Characterization of stochastic processes as models of signals and noise; stationarity, ergodicity, correlation functions, and power spectra. Gaussian processes as models of noise in linear and nonlinear systems; linear and nonlinear transformations of random processes; orthogonal series representations. Applications to circuits and devices, to communication, control, filtering, and prediction.

• TR 11:40 a.m.-12:55 p.m.
• Instructor: Irving Kalet
  CULPA: 3 h-index: 12 Info
• 3 points

COMPUTER ARCHITECTURE

Focuses on advanced topics in computer architecture, illustrated by case studies from classic and modern processors. Fundamentals of quantitative analysis. Pipelining. Memory hierarchy design. Instruction-level and thread-level parallelism. Data-level parallelism and graphics processing units. Multiprocessors. Cache coherence. Interconnection networks. Multi-core processors and systems-on-chip. Platform architectures for embedded, mobile, and cloud computing.

• TR 1:10 p.m.-2:25 p.m.
• Instructor: Tanvir Ahmed Khan
  Info
• 3 points

DIGITAL IMAGE PROCESSING

Introduction to the mathematical tools and algorithmic implementation for representation and processing of digital pictures, videos, and visual sensory data. Image representation, filtering, transform, quality enhancement, restoration, feature extraction, object segmentation, motion analysis, classification, and coding for data compression. A series of programming assignments reinforces material from the lectures.

• W 10:10 a.m.-12:40 p.m.
• Instructor: Christine P Hendon
  Wikipedia h-index: 21 Info
• 3 points

TOPICS IN EE & CE

ELEC VEHICLE DRIVETRAIN LAB

Selected topics in electrical and computer engineering. Content varies from year to year, and different topics rotate through the course numbers 4900 to 4909.

• F 10:10 a.m.-12:40 p.m.
• Instructor: Matthias Preindl
  h-index: 26 Info
• 3 points

INTERMEDIATE PROJECTS

May be repeated for credit, but no more than 3 total points may be used for degree credit. Substantial independent project involving laboratory work, computer programming, analytical investigation, or engineering design.

• Instructor: Dimitris Anastassiou
  Wikipedia Info
• Instructor: Keren Bergman
  CULPA: 1 Wikipedia h-index: 69 Info
• Instructor: Shih-Fu Chang
  CULPA: 3 Wikipedia h-index: 122 Info
• Instructor: Javad Ghaderi
  h-index: 17 Info
• Instructor: Christine P Hendon
  Wikipedia h-index: 21 Info
• Instructor: Predrag R Jelenkovic
  CULPA: 1 h-index: 35 Info
• Instructor: Xiaofan Jiang
  h-index: 24 Info
• Instructor: Ethan Katz-Bassett
  h-index: 31 Info
• Instructor: Dion Khodagholy Araghy
  Info
• Instructor: Peter Kinget
  CULPA: 1 h-index: 47 Info
• Instructor: Zoran Kostic
  CULPA: 1 h-index: 24 Info
• Instructor: Harish Krishnaswamy
  Info
• Instructor: Ioannis Kymissis
  CULPA: 4 h-index: 48 Info
• Instructor: Aurel A Lazar
  h-index: 53 Info
• Instructor: Michal Lipson
  CULPA: 1 Wikipedia h-index: 114 Info
• Instructor: Nima Mesgarani
  h-index: 35 Info
• Instructor: Debasis Mitra
  Wikipedia h-index: 61 Info
• Instructor: John W Paisley
  CULPA: 1 Info
• Instructor: Matthias Preindl
  h-index: 26 Info
• Instructor: Mingoo Seok
  h-index: 31 Info
• Instructor: Kenneth Shepard
  CULPA: 2 Wikipedia h-index: 64 Info
• Instructor: Tanvir Ahmed Khan
  Info
• Instructor: Yannis P Tsividis
  CULPA: 4 Wikipedia Info
• Instructor: David G Vallancourt
  CULPA: 28 Info
• Instructor: Wen I Wang
  CULPA: 1 Info
• Instructor: Xiaodong Wang
  CULPA: 15 Info
• Instructor: John Wright
  CULPA: 1 h-index: 44 Info
• Instructor: Charles A Zukowski
  CULPA: 5 Wikipedia Info
• Instructor: Gil Zussman
  CULPA: 3 h-index: 39 Info
• Instructor: Savannah Eisner
  Info
• 0-3 points

ADVANCED PROJECTS

May be repeated for up to 6 points of credit. Graduate-level projects in various areas of electrical engineering and computer science. In consultation with an instructor, each student designs his or her project depending on the students previous training and experience. Students should consult with a professor in their area for detailed arrangements no later than the last day of registration.

• Instructor: Dimitris Anastassiou
  Wikipedia Info
• Instructor: Keren Bergman
  CULPA: 1 Wikipedia h-index: 69 Info
• Instructor: Shih-Fu Chang
  CULPA: 3 Wikipedia h-index: 122 Info
• Instructor: Javad Ghaderi
  h-index: 17 Info
• Instructor: Christine P Hendon
  Wikipedia h-index: 21 Info
• Instructor: Predrag R Jelenkovic
  CULPA: 1 h-index: 35 Info
• Instructor: Xiaofan Jiang
  h-index: 24 Info
• Instructor: Ethan Katz-Bassett
  h-index: 31 Info
• Instructor: Dion Khodagholy Araghy
  Info
• Instructor: Peter Kinget
  CULPA: 1 h-index: 47 Info
• Instructor: Zoran Kostic
  CULPA: 1 h-index: 24 Info
• Instructor: Harish Krishnaswamy
  Info
• Instructor: Ioannis Kymissis
  CULPA: 4 h-index: 48 Info
• Instructor: Aurel A Lazar
  h-index: 53 Info
• Instructor: Michal Lipson
  CULPA: 1 Wikipedia h-index: 114 Info
• Instructor: Nima Mesgarani
  h-index: 35 Info
• 1-4 points