ELEN E1101 The digital information age. 3 points.

CC/GS: Partial Fulfillment of Science Requirement
Lect: 3.

An introduction to information transmission and storage, including technological issues. Binary numbers; elementary computer logic; digital speech and image coding; basics of compact disks, telephones, modems, faxes, UPC bar codes, and the World Wide Web. Projects include implementing simple digital logic systems and Web pages. Intended primarily for students outside the School of Engineering and Applied Science. The only prerequisite is a working knowledge of elementary algebra. 

Fall 2017: ELEN E1101
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 1101 001/20327 T Th 11:40am - 12:55pm
614 Schermerhorn Hall
David Vallancourt 3 56/120

ELEN E1201 Introduction to electrical engineering. 3.5 points.

Lect: 3. Lab:1.

Prerequisites: (MATH UN1101) MATH V1101.

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.

Fall 2017: ELEN E1201
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 1201 001/18427 T Th 4:10pm - 5:25pm
428 Pupin Laboratories
David Vallancourt 3.5 93/120
Spring 2018: ELEN E1201
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 1201 001/15056 M W 4:10pm - 5:25pm
312 Mathematics Building
David Vallancourt 3.5 89/120

ELEN E3043 Solid state, microwave and fiber optics laboratory. 3 points.

Lect: 1. Lab: 6.

Prerequisites: (ELEN E3106) and (ELEN E3401)

Optical electronics and communications. Microwave circuits. Physical electronics.

Fall 2017: ELEN E3043
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3043 001/73193 W 4:10pm - 6:40pm
1205 Seeley W. Mudd Building
Wen Wang 3 26/50

ELEN E3081 Circuit analysis laboratory. 1 point.

Lab: 3.

Prerequisites: (ELEN E1201) or equivalent.
Corequisites: ELEN E3201

Companion lab course for ELEN E3201. Experiments cover such topics as: use of measurement instruments; HSPICE simulation; basic network theorems; linearization of nonlinear circuits using negative feedback; op-amp circuits; integrators; second order RLC circuits. The lab generally meets on alternate weeks.

Fall 2017: ELEN E3081
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3081 001/19102 M 2:40pm - 5:10pm
1206 Seeley W. Mudd Building
Charles Zukowski 1 24/24
ELEN 3081 002/22154 Th 10:10am - 12:40pm
1206 Seeley W. Mudd Building
Charles Zukowski 1 23/24
ELEN 3081 003/60819 F 10:10am - 12:40pm
1206 Seeley W. Mudd Building
Charles Zukowski 1 17/24

ELEN E3082 Digital systems laboratory. 1 point.

Lab: 3.

Prerequisites: Recommended preparation: ELEN E1201 or equivalent.
Corequisites: CSEE W3827

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.

Spring 2018: ELEN E3082
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3082 001/62437 M 4:10pm - 6:40pm
Room TBA
Kenneth Shepard 1 24/24
ELEN 3082 002/76262 T 4:10pm - 6:40pm
Room TBA
Kenneth Shepard 1 15/24
ELEN 3082 003/23348 F 1:10pm - 3:40pm
Room TBA
Kenneth Shepard 1 24/24

ELEN E3083 Electronic circuits laboratory. 1 point.

Lab: 3.

Prerequisites: (ELEN E3081)
Corequisites: ELEN E3331

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 op-amps. The lab generally meets on alternate weeks.

Spring 2018: ELEN E3083
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3083 001/62476 M 4:10pm - 6:40pm
Room TBA
David Vallancourt 1 24/24
ELEN 3083 002/26578 T 4:10pm - 6:40pm
Room TBA
David Vallancourt 1 15/24
ELEN 3083 003/22106 F 1:10pm - 3:40pm
Room TBA
David Vallancourt 1 17/24

ELEN E3084 Signals and systems laboratory. 1 point.

Lab: 3.

Corequisites: ELEN E3801

Companion lab course for ELEN E3801. Experiments cover topics such as: introduction and use of MATLAB for numerical and symbolic calculations; linearity and time invariance; continuous-time convolution; Fourier-series expansion and signal reconstruction; impulse response and transfer function; forced response. The lab generally meets on alternate weeks.

Fall 2017: ELEN E3084
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3084 001/61055 M 6:10pm - 8:40pm
1235 Seeley W. Mudd Building
Xiaodong Wang 1 20/24
ELEN 3084 002/77770 Th 4:10pm - 6:40pm
1235 Seeley W. Mudd Building
Xiaodong Wang 1 24/24
ELEN 3084 003/15361 F 1:10pm - 3:40pm
1235 Seeley W. Mudd Building
Xiaodong Wang 1 18/24

ELEN E3106 Solid-state devices and materials. 3.5 points.

Lect: 3. Recit: 1.

Prerequisites: (MATH UN1201) or MATH V1201 or equivalent.
Corequisites: PHYS C1403 or PHYS C2601 or equivalent.

Crystal structure and energy band theory of solids. Carrier concentration and transport in semiconductors. P-n junction and junction transistors. Semiconductor surface and MOS transistors. Optical effects and optoelectronic devices.

Fall 2017: ELEN E3106
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3106 001/20638 T Th 2:40pm - 3:55pm
503 Hamilton Hall
Ioannis Kymissis 3.5 32/50

ELEN E3201 Circuit analysis. 3.5 points.

Lect: 3. Recit: 1.

Prerequisites: (ELEN E1201) or ELEN E1201 or equivalent.
Corequisites: MATH V1201.

A course on analysis of linear and nonlinear circuits and their applications. Formulation of circuit equations. Network theorems. Transient response of first and second order circuits. Sinusoidal steady state-analysis. Frequency response of linear circuits. Poles and zeros. Bode plots. Two-port networks.

Fall 2017: ELEN E3201
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3201 001/72068 M W 11:40am - 12:55pm
750 Schapiro Cepser
Yannis Tsividis 3.5 69/80

ELEN E3331 Electronic circuits. 3 points.

Lect: 3.

Prerequisites: (ELEN E3201) ELEN E3201.

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.

Spring 2018: ELEN E3331
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3331 001/14724 M W 11:40am - 12:55pm
717 Hamilton Hall
David Vallancourt 3 59/80

ELEN E3390 Electronic circuit design laboratory. 3 points.

Lab: 6.

Prerequisites: (ELEN E3082) and (ELEN E3083) and (ELEN E3331) and (ELEN E3401) and (ELEN E3801) ELEN E3082, E3083, E3331, E3401, E3801.

Advanced circuit design laboratory. Students work in teams to specify, design, implement and test an engineering prototype. The work involves technical as well as non-technical considerations, such as manufacturability, impact on the environment, and economics. The projects may change from year to year.

Spring 2018: ELEN E3390
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3390 001/70828 T Th 11:40am - 12:55pm
Room TBA
David Vallancourt 3 25/30

ELEN E3399 Electrical engineering practice. 1 point.

Design project planning, written and oral technical communication, practical aspects of engineering as a profession, such as career development and societal and environmental impact.  Generally taken senior year.

Fall 2017: ELEN E3399
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3399 001/20646 M 11:40am - 12:55pm
520 Mathematics Building
David Vallancourt 1 24/50
ELEN 3399 002/27281 F 6:00pm - 7:00pm
Room TBA
David Vallancourt 1 2/50

ELEN E3401 Electromagnetics. 4 points.

Lect: 3.

Prerequisites: (MATH UN1201) and (PHYS UN1402) or (PHYS UN1602) or MATH V1201, PHYS C1402 or PHYS C1602, or equivalents.

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.

Spring 2018: ELEN E3401
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3401 001/25972 M W 2:40pm - 3:55pm
834 Seeley W. Mudd Building
Keren Bergman 4 38/40

ELEN E3701 Introduction to communication systems. 3 points.

Lect: 3.

Prerequisites: (ELEN E3801) ELEN E3801.
Corequisites: IEOR E3658.

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, Shannon's theorem on channel capacity, and elements of coding theory.

Spring 2018: ELEN E3701
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3701 001/14783 T Th 4:10pm - 5:25pm
627 Seeley W. Mudd Building
Irving Kalet 3 29/50

ELEN E3801 Signals and systems. 3.5 points.

Lect: 3.

Corequisites: MATH V1201.

Modeling, description, and classification of signals and systems. Continuous-time systems. Time domain analysis, convolution. Frequency domain analysis, transfer functions. Fourier series. Fourier and Laplace transforms. Discrete-time systems and the Z transform.

Fall 2017: ELEN E3801
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3801 001/20565 T Th 7:10pm - 8:25pm
517 Hamilton Hall
Xiaodong Wang 3.5 71/80

ELEN E3990 Fieldwork. 1 point.

Not offered during 2017-18 academic year.

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 a technical or non-technical elective. May not be taken for pass/fail credit or audited. Note: Fieldwork credit only counts towards the 128-point general requirement.

Summer 2017: ELEN E3990
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3990 001/91447  
Charles Zukowski 1 1
ELEN 3990 002/91746  
Ioannis Kymissis 1 2
Spring 2018: ELEN E3990
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3990 001/73246  
1 0

ELEN E3998 Projects in electrical engineering. 0 points.

0 to 3 pts.

Prerequisites: Requires approval by a faculty member who agrees to supervise the work.

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.

Fall 2017: ELEN E3998
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3998 001/70192  
Dimitris Anastassiou 0 0
ELEN 3998 002/22443  
Keren Bergman 0 0
ELEN 3998 003/21952  
Shih-Fu Chang 0 0
ELEN 3998 004/26722  
Daniel Ellis 0 0
ELEN 3998 005/71165  
Javad Ghaderi 0 0
ELEN 3998 006/28674  
Christine Hendon 0 0
ELEN 3998 007/61074  
Predrag Jelenkovic 0 0
ELEN 3998 008/60181  
Xiaofan Jiang 0 0
ELEN 3998 009/68390  
Ethan Katz-Bassett 0 0
ELEN 3998 010/28896  
Peter Kinget 0 0
ELEN 3998 011/66890  
Dion Khodagholy 0 0
ELEN 3998 012/74283  
Zoran Kostic 0 0
ELEN 3998 013/63905  
Harish Krishnaswamy 0 0
ELEN 3998 014/23341  
Ioannis Kymissis 0 1
ELEN 3998 015/73645  
Aurel Lazar 0 1
ELEN 3998 016/25798  
Michal Lipson 0 0
ELEN 3998 017/15963  
Nima Mesgarani 0 0
ELEN 3998 018/68009  
Debasis Mitra 0 0
ELEN 3998 019/22358  
Richard Osgood 0 1
ELEN 3998 020/16844  
John Paisley 0 0
ELEN 3998 021/72371  
Matthias Preindl 0 0
ELEN 3998 022/13705  
Mingoo Seok 0 0
ELEN 3998 023/11071  
Kenneth Shepard 0 0
ELEN 3998 024/73549  
James Teherani 0 0
ELEN 3998 025/74421  
Yannis Tsividis 0 0
ELEN 3998 026/70094  
David Vallancourt 0 3
ELEN 3998 027/72234  
Wen Wang 0 0
ELEN 3998 028/13773  
Xiaodong Wang 0 0
ELEN 3998 029/29140  
John Wright 0 0
ELEN 3998 030/64358  
Charles Zukowski 0 0
ELEN 3998 031/26536  
Gil Zussman 0 0
Spring 2018: ELEN E3998
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 3998 001/15248  
Dimitris Anastassiou 0 0
ELEN 3998 002/61734  
Keren Bergman 0 0
ELEN 3998 003/61053  
Shih-Fu Chang 0 0
ELEN 3998 004/66743  
Javad Ghaderi 0 0
ELEN 3998 005/75480  
Christine Hendon 0 0
ELEN 3998 006/20481  
Predrag Jelenkovic 0 0
ELEN 3998 007/63998  
Xiaofan Jiang 0 0
ELEN 3998 008/66557  
Ethan Katz-Bassett 0 0
ELEN 3998 009/20589  
Dion Khodagholy 0 0
ELEN 3998 010/11586  
Peter Kinget 0 0
ELEN 3998 011/24886  
Zoran Kostic 0 0
ELEN 3998 012/75155  
Harish Krishnaswamy 0 0
ELEN 3998 013/67951  
Ioannis Kymissis 0 0
ELEN 3998 014/63368  
Aurel Lazar 0 0
ELEN 3998 015/28230  
Michal Lipson 0 0
ELEN 3998 016/22516  
Nima Mesgarani 0 0
ELEN 3998 017/69452  
Debasis Mitra 0 0
ELEN 3998 018/19207  
Richard Osgood 0 0
ELEN 3998 019/26732  
John Paisley 0 0
ELEN 3998 020/70833  
Matthias Preindl 0 0
ELEN 3998 021/20696  
Mingoo Seok 0 0
ELEN 3998 022/70856  
Kenneth Shepard 0 0
ELEN 3998 023/76979  
James Teherani 0 0
ELEN 3998 024/69041  
Yannis Tsividis 0 0
ELEN 3998 025/74322  
David Vallancourt 0 0
ELEN 3998 026/22359  
Wen Wang 0 0
ELEN 3998 027/76556  
Xiaodong Wang 0 0
ELEN 3998 028/20864  
John Wright 0 0
ELEN 3998 029/28958  
Charles Zukowski 0 0
ELEN 3998 030/17664  
Gil Zussman 0 0

ELEN E3999 Electrical engineering design challenge. 1 point.

Prerequisites: Approval by a faculty member who agrees to supervise the work.

May be repeated for credit, but no more than 3 total points may be used for degree credit.  Short-term design project organized as a faculty-led team competition. Particular design targets are set that vary by semester. A set of hardware and software constraints is specified. The project takes place over an advertised subset of the semester, beginning around the third week.

ELEN E4193 Modern display science and technology. 3 points.

Lect: 3.

Prerequisites: Linear algebra, differential equations, and basic semiconductor physics.

Introduction to modern display systems in an engineering context. The basis for visual perception, image representation, color space, metrics of illumination. Physics of luminescence, propagation and manipulation of light in anisotropic media, emissive displays, and spatial light modulators.  Fundamentals of display addressing, the Alt-Pleshko theorem, multiple line addressing. Large area electronics, fabrication, and device integration of commercially important display types. A series of short laboratories will reinforce material from the lectures. Enrollment may be limited.

Fall 2017: ELEN E4193
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4193 001/74647 F 10:10am - 12:40pm
545 Seeley W. Mudd Building
Ioannis Kymissis 3 12/50

ELEN E4215 Analog filter synthesis and design. 3 points.

Lect: 3.

Prerequisites: (ELEN E3201) and (ELEN E3801) or equivalent.

Approximation techniques for magnitude, phase, and delay specifications, transfer function realization sensitivity, passive LC filters, active RC filters, MOSFET-C filters, Gm-C filters, switched-capacitor filters, automatic tuning techniques for integrated filters. Filter noise. A design project is an integral part of the course.

ELEN E4301 Introduction to semiconductor devices. 3 points.

Lect: 3.

Prerequisites: (ELEN E3106) or equivalent.

Semiconductor physics. Carrier injection and recombination. P-n junction and diodes: Schottky barrier and heterojunctions, solar cells and light-emitting diodes. Junction and MOS field-effect transistors, bipolar transistors. Tunneling and charge-transfer devices.

ELEN E4302 Magnetic sensors and instruments for medical imaging. 3 points.

Lect: 2.5, Lab: 0.5.Not offered during 2017-18 academic year.

Prerequisites: (ELEN E3106) and (ELEN E3401) or instructor's permission.

Physics of nuclear magnetic resonance (NMR) and superconducting quantum interference device (SQUID). Design and operation of superconducting DC magnet, RF receiver, Josephson junction, and integrated SQUID. Principles of biomedical sensoring systems including Magnetic Resonance Imaging (MRI), SQUID magnetometer, and NMR spectroscopy. Medical image formation and processing.

ELEN E4312 Analog electronic circuits. 3 points.

Lect: 3.

Prerequisites: (ELEN E3331) and (ELEN E3801)

Differential and multistage amplifiers; small-signal analysis; biasing techniques; frequency response; negative feedback; stability criteria; frequency compensation techniques. Analog layout techniques. An extensive design project is an integral part of the course.

Fall 2017: ELEN E4312
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4312 001/11077 T 7:00pm - 9:30pm
545 Seeley W. Mudd Building
Timothy Dickson 3 29/80

ELEN E4314 Communication circuits. 3 points.

Lect: 3.

Prerequisites: (ELEN E4312)

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.

Spring 2018: ELEN E4314
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4314 001/72336 W 1:10pm - 3:40pm
233 Seeley W. Mudd Building
Yannis Tsividis 3 14/40

ELEN E4350 VLSI design laboratory. 3 points.

Lab: 3.

Prerequisites: (EECS E4321) and (ELEN E4312) or instructor's permission.

Design of a CMOS mixed-signal integrated circuit. The class divides up into teams to work on mixed-signal integrated circuit designs. The chips are fabricated to be tested the following term. Lectures cover use of computer-aided design tools, design issues specific to the projects, and chip integration issues. This course shares lectures with E6350 but the complexity requirements of integrated circuits are lower.

ELEN E4361 Power electronics. 3 points.

Lect: 3.

Prerequisites: (ELEN E3331) and (ELEN E3801) ELEN E3801 & ELEN E3331.

Introduction to power electronics; power semiconductor devices: power diodes, thyristors, commutation techniques, power transistors, power MOSFETs, Triac, IGBTs, etc. and switch selection; non-sinusoidal power definitions and computations, modeling, and simulation; half-wave rectifiers; single-phase, full-wave rectifiers; three-phase rectifiers; AC voltage controllers; DC/DC buck, boost, and buck-boost converters; discontinuous conduction mode of operation; DC power supplies: Flyback, Forward converter; DC/AC inverters, PWM techniques; three-phase inverters.

ELEN E4401 Wave transmission and fiber optics. 3 points.

Lect: 3.

Prerequisites: (ELEN E3401) or equivalent.

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.

ELEN E4411 Fundamentals of photonics. 3 points.

Lect: 3.

Prerequisites: (ELEN E3401) or ELEN E3401 or equivalent.

Planar resonators. Photons and photon streams. Photons and atoms: energy levels and band structure; interactions of photons with matter; absorption, stimulated and spontaneous emission; thermal light, luminescence light. Laser amplifiers: gain, saturation, and phase shift; rate equations; pumping. Lasers: theory of oscillation; laser output characteristics. Photons in semiconductors: generation, recombination, and injection; heterostructures; absorption and gain coefficients. Semiconductor photon sources: LEDs; semiconductor optical amplifiers; homojunction and heterojunction laser diodes. Semiconductor photon detectors: p-n, p-i-n, and heterostructure photo diodes; avalanche photodiodes.

Fall 2017: ELEN E4411
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4411 001/22380 T 4:10pm - 6:40pm
703 Hamilton Hall
Michal Lipson 3 17/50

ELEN E4420 Topics in electromagnetics. 3 points.

Lect: 3.Not offered during 2017-18 academic year.

Prerequisites: Undergraduate electromagnetic theory.

Selected topics in the theory and practice of electromagnetics, varying from year to year. Topic for current term will be available in the department office one month before registration. This course may be taken more than once when topics are different. Possible topics: microwave theory and design (generalized waveguides, excitation and coupling of waveguides, junctions, microwave networks, periodic structures, optical fibers); antennas (filamentary antennas, arrays, aperture radiation, system properties, pattern synthesis); electrodynamics (special relativity, radiation by charged particles, relativistic beams, free electron lasers).

ELEN E4488 Optical systems. 3 points.

Lect: 3.

Prerequisites: (ELEN E3401) equivalent.

Introduction to optical systems based on physical design and engineering principles. Fundamental geometrical and wave optics with specific emphasis on developing analytical and numerical tools used in optical engineering design. Focus on applications that employ optical systems and networks, including examples in holographic imaging, tomography, Fourier imaging, confocal microscopy, optical signal processing, fiber optic communication systems, optical interconnects and networks.

ELEN E4501 Electromagnetic devices and energy conversion. 3 points.

Lect: 3.

Prerequisites: (ELEN E3401)

Linear and nonlinear magnetic circuits. Electric and magnetic energy storage, loss, and transfer. Circuit behavior of energy storage and transfer devices. Field theory of moving bodies. Dynamical equations of an electromechanical system. Electromechanical and thermo-electric sensors and actuators. Rotating electric energy converters. Superconductivity and applications.

ELEN E4503 Sensors, actuators and electromechanical systems. 3 points.

Lect: 3.

Prerequisites: (ELEN E3201) and (ELEN E3401) or equivalent.

Electromagnetic energy storage, loss, and transfer. Dynamics of electromechanical systems. Linearization of nonlinear coupled dynamical equations and equivalent circuits. Electromechanical actuators: acoustic, IC processed micromachines. Electromechanical sensors: acoustic, pressure, and acceleration. Thermal sensors: polysilicon thermopiles and bipolar transistor temperature sensors. Electro-optic sensors: visible light, infrared, and X-ray.

ELEN E4510 Solar energy and smart grid power systems. 3 points.

Lect: 3.

Prerequisites: Background in circuits.

Inorganic solar cell semiconductor physics. Single and tandem junction design. Measures of spectral and energy efficiency.  Introduction to organic solar cells and thin film inorganic cells. Batteries and other energy storage systems. Introduction to legacy power networks: Single phase equivalents to three-phase networks. Reactive and real power.  Equivalent circuits of synchronous machines, transformers, and transmission lines. Smart grid technology: Control and management of distributed solar energy and other intermittent renewable power sources connected to legacy power networks. Microgrid concept. "Small world" networks and fault management. Communication over power lines. Smart metering.

ELEN E4511 Power systems analysis and control. 3 points.

Lect: 3.

Prerequisites: (ELEN E3201) and (ELEN E3401) or equivalent, or instructor's permission.

Modeling of power networks, steady-state and transient behaviors, control and optimization, electricity market, and smart grid.

Spring 2018: ELEN E4511
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4511 001/25265 W 7:00pm - 9:30pm
313 Fayerweather
3 14/50

ELEN E4702 Digital communications. 3 points.

Lect: 3.

Prerequisites: (ELEN E3701) or equivalent.

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.

Fall 2017: ELEN E4702
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4702 001/71460 M 4:10pm - 6:40pm
1127 Seeley W. Mudd Building
Vasanthan Raghavan 3 8/50

ELEN E4703 Wireless communications. 3 points.

Lect: 3.

Prerequisites: (ELEN E3701) or equivalent.

Wireless communication systems. System design fundamentals. Trunking theory. Mobile radio propagation. Reflection of radio waves. Fading and multipath. Modulation techniques; signal space; probability of error, spread spectrum. Diversity. Multiple access.

Spring 2018: ELEN E4703
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4703 001/20432 F 10:10am - 12:40pm
337 Seeley W. Mudd Building
Zoran Kostic 3 3/30

ELEN E4810 Digital signal processing. 3 points.

Lect: 3.

Prerequisites: (ELEN E3801)

Digital filtering in time and frequency domain, including properties of discrete-time signals and systems, sampling theory, transform analysis, system structures, IIR and FIR filter design techniques, the discrete Fourier transform, fast Fourier transforms.

Fall 2017: ELEN E4810
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4810 001/74624 M W 10:10am - 11:25am
833 Seeley W. Mudd Building
John Wright 3 68/120

ELEN E4815 Random signals and noise. 3 points.

Lect: 3.

Prerequisites: (IEOR E3658) or equivalent.

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.

Spring 2018: ELEN E4815
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4815 001/29425 T Th 10:10am - 11:25am
545 Seeley W. Mudd Building
Irving Kalet 3 33/60

ELEN E4830 Digital image processing. 3 points.

Lect: 3.

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.

Spring 2018: ELEN E4830
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4830 001/70499 M 4:10pm - 6:40pm
310 Fayerweather
David Gibbon, Ziu Liu 3 60/60

ELEN E4835 Introduction to adaptive signal representations. 3 points.

Prerequisites: Linear algebra (APMA E3101, MATH UN2010, or equivalent), probability (IEOR E3658 or equivalent), and signals and systems (ELEN E3801), or instructor's permission.

Introduces numerical tools for adaptive processing of signals. Signal representations, sparsity in overcomplete bases. Techniques for sparse recovery, applications to inpainting and denoising. Adaptive representations: Principal Component Analysis, clustering and vector quantization, dictionary learning. Source separation: Independent Component Analysis and matrix factorizations. Signal classification: support vector machines and boosting, learning with invariances. Hashing and signal retrieval. Case studies from image processing, audio, multimedia.

ELEN E4896 Music signal processing. 3 points.

Lect: 3.

Prerequisites: (ELEN E3801) and (ELEN E4810) or equivalent.

An investigation of the applications of signal processing to music audio, spanning the synthesis of musical sounds (including frequency modulation [FM], additive sinusoidal synthesis, and linear predictive coding [LPC]), the modification of real and synthetic sounds (including reverberation and time/pitch scaling), and the analysis of music audio to extract musical information (including pitch tracking, chord transcription, and music matching). Emphasis is placed on practical, hands-on experimentation, with a wide range of software implementations introduced and modified within the class.

ELEN E4900 Topics in electrical and computer engineering. 3 points.

Lect: 3.

Prerequisites: Instructor's permission.

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

ELEN E4901 Topics in electrical and computer engineering. 3 points.

Topic: Mobile App Development with Android.

ELEN E4902 Topics in electrical and computer engineering. 3 points.

Topic: IOT - Intelligent Connected Systems.

ELEN E4903 Topics in electrical and computer engineering. 3 points.

Topic: Machine Learning.

Spring 2018: ELEN E4903
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4903 001/75707 W 7:00pm - 9:30pm
501 Northwest Corner
John Paisley 3 120/120
ELEN 4903 H01/95898 W 7:00pm - 9:30pm
501 Schermerhorn Hall
John Paisley 3 15/120

ELEN E4904 Topics in electrical and computer engineering. 3 points.

Topic: Mobile Cloud - Optimization and Security.

ELEN E4944 Principles of device microfabrication. 3 points.

Lect: 3.

Science and technology of conventional and advanced microfabrication techniques for electronics, integrated and discrete components. Topics include diffusion; ion implantation, thin-film growth including oxides and metals, molecular beam and liquid-phase epitaxy; optical and advanced lithography; and plasma and wet etching.

Fall 2017: ELEN E4944
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4944 001/28537 M 4:10pm - 6:40pm
1024 Seeley W. Mudd Building
Jacob Trevino 3 26/50

ELEN E4998 Intermediate projects in electrical engineering. 0 points.

0 to 3 pts.

Prerequisites: Requires approval by a faculty member who agrees to supervise the work.

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.

Summer 2017: ELEN E4998
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4998 001/81796  
Charles Zukowski 0 1
Fall 2017: ELEN E4998
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4998 001/14250  
Dimitris Anastassiou 0 0
ELEN 4998 002/66844  
Keren Bergman 0 1
ELEN 4998 003/71930  
Shih-Fu Chang 0 0
ELEN 4998 004/18981  
Daniel Ellis 0 0
ELEN 4998 005/64141  
Javad Ghaderi 0 0
ELEN 4998 006/69155  
Christine Hendon 0 0
ELEN 4998 007/71085  
Predrag Jelenkovic 0 0
ELEN 4998 008/14582  
Xiaofan Jiang 0 1
ELEN 4998 009/28105  
Ethan Katz-Bassett 0 0
ELEN 4998 010/27334  
Peter Kinget 0 0
ELEN 4998 011/69407  
Dion Khodagholy 0 0
ELEN 4998 012/26187  
Zoran Kostic 0 0
ELEN 4998 013/27148  
Harish Krishnaswamy 0 1
ELEN 4998 014/72683  
Ioannis Kymissis 0 0
ELEN 4998 015/14189  
Aurel Lazar 0 1
ELEN 4998 016/61762  
Michal Lipson 0 0
ELEN 4998 017/24251  
Nima Mesgarani 0 0
ELEN 4998 018/71168  
Debasis Mitra 0 0
ELEN 4998 019/61465  
Richard Osgood 0 0
ELEN 4998 020/15937  
John Paisley 0 0
ELEN 4998 021/14887  
Matthias Preindl 0 0
ELEN 4998 022/61988  
Mingoo Seok 0 0
ELEN 4998 023/63145  
Kenneth Shepard 0 0
ELEN 4998 024/27328  
James Teherani 0 0
ELEN 4998 025/76014  
Yannis Tsividis 0 0
ELEN 4998 026/23314  
David Vallancourt 0 0
ELEN 4998 027/16414  
Wen Wang 0 0
ELEN 4998 028/13299  
Xiaodong Wang 0 0
ELEN 4998 029/22685  
John Wright 0 0
ELEN 4998 030/69789  
Charles Zukowski 0 0
ELEN 4998 031/62634  
Gil Zussman 0 0
Spring 2018: ELEN E4998
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 4998 001/77743  
Dimitris Anastassiou 0 0
ELEN 4998 002/60899  
Keren Bergman 0 0
ELEN 4998 003/23048  
Shih-Fu Chang 0 0
ELEN 4998 004/13830  
Javad Ghaderi 0 0
ELEN 4998 005/12581  
Christine Hendon 0 0
ELEN 4998 006/28143  
Predrag Jelenkovic 0 0
ELEN 4998 007/12967  
Xiaofan Jiang 0 0
ELEN 4998 008/22056  
Ethan Katz-Bassett 0 0
ELEN 4998 009/14373  
Dion Khodagholy 0 0
ELEN 4998 010/22262  
Peter Kinget 0 1
ELEN 4998 011/25880  
Zoran Kostic 0 0
ELEN 4998 012/71611  
Harish Krishnaswamy 0 0
ELEN 4998 013/23422  
Ioannis Kymissis 0 1
ELEN 4998 014/19532  
Aurel Lazar 0 0
ELEN 4998 015/76043  
Michal Lipson 0 0
ELEN 4998 016/66999  
Nima Mesgarani 0 0
ELEN 4998 017/28482  
Debasis Mitra 0 0
ELEN 4998 018/71921  
Richard Osgood 0 0
ELEN 4998 019/70068  
John Paisley 0 0
ELEN 4998 020/18714  
Matthias Preindl 0 0
ELEN 4998 021/27042  
Mingoo Seok 0 0
ELEN 4998 022/23040  
Kenneth Shepard 0 0
ELEN 4998 023/25144  
James Teherani 0 0
ELEN 4998 024/29950  
Yannis Tsividis 0 0
ELEN 4998 025/24747  
David Vallancourt 0 0
ELEN 4998 026/68530  
Wen Wang 0 0
ELEN 4998 027/68579  
Xiaodong Wang 0 0
ELEN 4998 028/60275  
John Wright 0 0
ELEN 4998 029/24975  
Charles Zukowski 0 0
ELEN 4998 030/68113  
Gil Zussman 0 0

ELEN E6001 Advanced projects in electrical engineering. 1-4 points.

Prerequisites: Requires approval by a faculty member who agrees to supervise the work.

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 student's previous training and experience. Students should consult with a professor in their area for detailed arrangements no later than the last day of registration.

Summer 2017: ELEN E6001
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6001 001/92298  
Christine Hendon 1-4 1
ELEN 6001 002/13747  
Qi Wang 1-4 1
ELEN 6001 003/18148  
Aurel Lazar 1-4 1
Fall 2017: ELEN E6001
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6001 001/20936  
Dimitris Anastassiou 1-4 0
ELEN 6001 002/63777  
Keren Bergman 1-4 5
ELEN 6001 003/27845  
Shih-Fu Chang 1-4 4
ELEN 6001 004/14337  
Daniel Ellis 1-4 0
ELEN 6001 005/16613  
Javad Ghaderi 1-4 0
ELEN 6001 006/68511  
Christine Hendon 1-4 2
ELEN 6001 007/75527  
Predrag Jelenkovic 1-4 0
ELEN 6001 008/70931  
Xiaofan Jiang 1-4 4
ELEN 6001 009/10111  
Ethan Katz-Bassett 1-4 0
ELEN 6001 010/22963  
Peter Kinget 1-4 2
ELEN 6001 011/60212  
Dion Khodagholy 1-4 1
ELEN 6001 012/72316  
Zoran Kostic 1-4 3
ELEN 6001 013/13573  
Harish Krishnaswamy 1-4 1
ELEN 6001 014/73002  
Ioannis Kymissis 1-4 1
ELEN 6001 015/72864  
Aurel Lazar 1-4 1
ELEN 6001 016/64066  
Michal Lipson 1-4 2
ELEN 6001 017/71434  
Nima Mesgarani 1-4 2
ELEN 6001 018/12188  
Debasis Mitra 1-4 1
ELEN 6001 019/25670  
Richard Osgood 1-4 1
ELEN 6001 020/69642  
John Paisley 1-4 2
ELEN 6001 021/68230  
Matthias Preindl 1-4 1
ELEN 6001 022/60360  
Mingoo Seok 1-4 3
ELEN 6001 023/61038  
Kenneth Shepard 1-4 4
ELEN 6001 024/71677  
James Teherani 1-4 0
ELEN 6001 025/60582  
Yannis Tsividis 1-4 0
ELEN 6001 026/67099  
David Vallancourt 1-4 0
ELEN 6001 027/20809  
Wen Wang 1-4 1
ELEN 6001 028/74680  
Xiaodong Wang 1-4 0
ELEN 6001 029/12519  
John Wright 1-4 1
ELEN 6001 030/62983  
Charles Zukowski 1-4 0
ELEN 6001 031/23283  
Gil Zussman 1-4 2
ELEN 6001 032/67447  
Alexander Gaeta 1-4 1

ELEN E6002 Advanced projects in electrical engineering. 1-4 points.

Prerequisites: Requires approval by a faculty member who agrees to supervise the work.

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 student's previous training and experience. Students should consult with a professor in their area for detailed arrangements no later than the last day of registration.

Spring 2018: ELEN E6002
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6002 001/66672  
Dimitris Anastassiou 1-4 0
ELEN 6002 002/72256  
Keren Bergman 1-4 0
ELEN 6002 003/16176  
Shih-Fu Chang 1-4 0
ELEN 6002 004/71438  
Javad Ghaderi 1-4 0
ELEN 6002 005/76010  
Christine Hendon 1-4 0
ELEN 6002 006/14149  
Predrag Jelenkovic 1-4 0
ELEN 6002 007/66113  
Xiaofan Jiang 1-4 0
ELEN 6002 008/77388  
Ethan Katz-Bassett 1-4 0
ELEN 6002 009/29596  
Dion Khodagholy 1-4 0
ELEN 6002 010/11423  
Peter Kinget 1-4 0
ELEN 6002 011/75519  
Zoran Kostic 1-4 0
ELEN 6002 012/21641  
Harish Krishnaswamy 1-4 0
ELEN 6002 013/23603  
Ioannis Kymissis 1-4 0
ELEN 6002 014/11640  
Aurel Lazar 1-4 0
ELEN 6002 015/20176  
Michal Lipson 1-4 0
ELEN 6002 016/25721  
Nima Mesgarani 1-4 2
ELEN 6002 017/26320  
Debasis Mitra 1-4 0
ELEN 6002 018/76385  
Richard Osgood 1-4 0
ELEN 6002 019/75230  
John Paisley 1-4 0
ELEN 6002 020/16948  
Matthias Preindl 1-4 0
ELEN 6002 021/67408  
Mingoo Seok 1-4 3
ELEN 6002 022/20752  
Kenneth Shepard 1-4 2
ELEN 6002 023/12233  
James Teherani 1-4 0
ELEN 6002 024/63462  
Yannis Tsividis 1-4 0
ELEN 6002 025/13226  
David Vallancourt 1-4 0
ELEN 6002 026/21103  
Wen Wang 1-4 1
ELEN 6002 027/71194  
Xiaodong Wang 1-4 0
ELEN 6002 028/75419  
John Wright 1-4 1
ELEN 6002 029/66514  
Charles Zukowski 1-4 0
ELEN 6002 030/26698  
Gil Zussman 1-4 0

ELEN E6010 Systems biology: design principles for biological circuits. 4.5 points.

Lect: 3.

Prerequisites: (ECBM E4060) or instructor's permission.

Beyond bioinformatics, cells as systems. Metabolic networks, transcription regulatory networks, signaling networks. Deterministic and stochastic kinetics. Mathematical representation of reconstructed networks. Network motifs. Signal transduction and neuronal networks. Robustness. Bacterial chemotaxis and patterning in fruit fly development. Kinetic proofreading. Optimal gene circuit design. Rules for gene regulation. Random networks and multiple time scales. Biological information processing. Numerical and simulation techniques. Major project(s) in MATLAB.

ELEN E6080 Topics in systems biology. 3 points.

Lect: 2.

Prerequisites: Instructor's permission.

Selected advanced topics in systems biology. Content varies from year to year, and different topics rotate through the course numbers 6080 to 6089.

ELEN E6151 Surface physics and analysis of electronic materials. 3 points.

Lect: 2.

Prerequisites: Instructor's permission.

Basic physical principles of methods of surface analysis, surfaces of electronic materials including structure and optical properties (auger electron spectroscopy, X-ray photoemission, ultraviolet photoelectron spectroscopy, electron energy loss spectroscopy, inverse photoemission, photo stimulated desorption, and low energy electron diffraction), physical principles of each approach.

ELEN E6201 Linear system theory. 3 points.

Lect: 3.

Prerequisites: (ELEN E3801) and (APMA E3101) or ELEN E3801 and APMA E3101, or equivalents.

Abstract objects, the concepts of state. Definition and properties of linear systems. Characterization of linear continuous-time and discrete-time, fixed, and time-varying systems. State-space description; fundamental matrix, calculation by computer and matrix methods. Modes in linear systems. Adjoint systems. Controllability and observability. Canonical forms and decompositions. State estimators. Lyapunov's method and stability.

ELEN E6211 Circuit theory. 3 points.

Lect: 3.

Prerequisites: (ELEN E3331) and (ELEN E3801)

An axiomatic development of circuit theory. Circuit theorems, circuit topology, general methods of circuit analysis. Normal form characterizations. Scattering characterization and sensitivity function. Basic network synthesis methods: immittance and transfer function realization, multiport realization, approximation techniques.

ELEN E6261 Computational methods of circuit analysis. 3 points.

Lect: 3.Not offered during 2017-18 academic year.

Prerequisites: (ELEN E3331) and (APMA E3101)

Computational algorithms for DC, transient, and frequency analysis of linear and nonlinear circuits. Formulation of equations: state equations, hybrid equations, sparse tableaux. Solution techniques: iterative methods to solve nonlinear algebraic equations; piecewise linear methods; sparse matrix techniques; numerical integration of stiff, nonlinear differential equations, companion network models; waveform relaxation.

ELEN E6302 MOS transistors. 3 points.

Lect: 2.

Prerequisites: (ELEN E3106) equivalent.

Operation and modeling of MOS transistors. MOS two- and three-terminal structures. The MOS transistor as a four-terminal device; general charge-sheet modeling; strong, moderate, and weak inversion models; short-and-narrow-channel effects; ion-implanted devices; scaling considerations in VLSI; charge modeling; large-signal transient and small-signal modeling for quasistatic and nonquasistatic operation.

ELEN E6304 Topics in electronic circuits. 3 points.

Lect: 3.

Prerequisites: Instructor's permission.

State-of-the-art techniques in integrated circuits. Topics may change from year to year.

ELEN E6312 Advanced analog integrated circuits. 3 points.

Lect: 2.

Prerequisites: (ELEN E4312)

Integrated circuit device characteristics and models;  temperature- and supply-independent biasing; IC operational amplifier analysis and design and their applications; feedback amplifiers, stability and frequency compensation techniques; noise in circuits and low-noise design; mismatch in circuits and low-offset design. Computer-aided analysis techniques are used in homework(s) or a design project.

Spring 2018: ELEN E6312
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6312 001/91498 W 7:00pm - 9:30pm
337 Seeley W. Mudd Building
Wooram Lee 3 8/30

ELEN E6314 Advanced communication circuits. 3 points.

Lect: 2.

Prerequisites: (ELEN E4314) and (ELEN E6312)

Overview of communication systems, modulation and detection schemes. Receiver and transmitter architectures. Noise, sensitivity, and dynamic range. Nonlinearity and distortion. Low-noise RF amplifiers, mixers, and oscillators. Phase-locked loops and frequency synthesizers. Typical applications discussed include wireless RF transceivers or data links. Computer-aided analysis techniques are used in homework(s) or a design project.

ELEN E6316 Analog systems in VLSI. 3 points.

Lect: 3.

Prerequisites: (ELEN E4312)

Analog-digital interfaces in very large scale integrated circuits. Precision sampling; A/D and D/A converter architectures; continuous-time and switched capacitor filters; system considerations. A design project is an integral part of this course.

Spring 2018: ELEN E6316
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6316 001/28615 T 7:00pm - 9:30pm
524 Seeley W. Mudd Building
Timothy Dickson 3 13/40

ELEN E6318 Microwave circuit design. 3 points.

Lect: 3.

Prerequisites: (ELEN E3331) and (ELEN E3401) or equivalent.

Introduction to microwave engineering and microwave circuit design. Review of transmission lines. Smith chart, S-parameters, microwave impedance matching, transformation and power combining networks, active and passive microwave devices, S-parameter-based design of RF and microwave amplifiers. A microwave circuit design project (using microwave CAD) is an integral part of the course.

Spring 2018: ELEN E6318
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6318 001/15767 M 4:10pm - 6:40pm
524 Seeley W. Mudd Building
Yves Baeyens 3 8/30

ELEN E6320 Millimeter-wave IC design. 3 points.

Lect: 3.

Prerequisites: (ELEN E3401) and (ELEN E4314) and (ELEN E6312) or equivalent.

Principles behind the implementation of millimeter-wave (30GHz-300GHz) wireless circuits and systems in silicon-based technologies. Silicon-based active and passive devices for millimeter-wave operation, millimeter-wave low-noise amplifiers, power amplifiers, oscillators and VCOs, oscillator phase noise theory, mixers and frequency dividers for PLLs. A design project is an integral part of the course.

Fall 2017: ELEN E6320
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6320 001/66397 W 7:00pm - 9:30pm
602 Northwest Corner
Wooram Lee, Bodhisatwa Sadhu 3 12/25

ELEN E6331 Principles of semiconductor physics I. 3 points.

Lect: 2.

Prerequisites: (ELEN E4301) ELEN E4301.

Designed for students interested in research in semiconductor materials and devices. Topics include energy bands: nearly free electron and tight-binding approximations, the k.p. method, quantitative calculation of band structures and their applications to quantum structure transistors, photodetectors, and lasers; semiconductor statistics, Boltzmann transport equation, scattering processes, quantum effect in transport phenomena, properties of heterostructures. Quantum mechanical treatment throughout.

Spring 2018: ELEN E6331
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6331 001/15009 Th 7:00pm - 9:30pm
415 Schapiro Cepser
Wen Wang 3 8/40

ELEN E6332 Principles of semiconductor physics II. 3 points.

Lect: 2.

Prerequisites: (ELEN E6331)

Optical properties including absorption and emission of radiation, electron-phonon interactions, radiative and phonon-mediated processes, excitons, plasmons, polaritons, carrier recombination and generation, and related optical devices, tunneling phenomena, superconductivity. Quantum mechanical treatment throughout, heavy use of perturbation theory.

ELEN E6333 Semiconductor device physics. 3 points.

Lect: 2.

Prerequisites: (ELEN E4301) or ELEN E4301 or equivalent.

Physics and properties of semiconductors. Transport and recombination of excess carriers. Schottky, P-N, MOS, and heterojunction diodes. Field effect and bipolar junction transistors. Dielectric and optical properties. Optical devices including semiconductor lamps, lasers, and detectors.

Fall 2017: ELEN E6333
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6333 001/14652 M W 10:10am - 11:25am
503 Hamilton Hall
James Teherani 3 12/50

ELEN E6350 VLSI design laboratory. 3 points.

Lab: 3.

Prerequisites: (EECS E4321) and (ELEN E4312) or instructor's permission.

Design of a CMOS mixed-signal integrated circuit. The class divides up into teams to work on mixed-signal integrated circuit designs. The chips are fabricated to be tested the following term. Lectures cover use of computer-aided design tools, design issues specific to the projects, and chip integration issues. This course shares lectures with E4350 but the complexity requirements of integrated circuits are higher.

ELEN E6412 Lightwave devices. 3 points.

Lect: 2.

Prerequisites: (ELEN E4411)

Electro-optics: principles; electro-optics of liquid crystals and photo-refractive materials. Nonlinear optics: second-order nonlinear optics; third-order nonlinear optics; pulse propagation and solitons. Acousto-optics: interaction of light and sound; acousto-optic devices. Photonic switching and computing: photonic switches; all-optical switches; bistable optical devices. Introduction to fiber-optic communications: components of the fiber-optic link; modulation, multiplexing and coupling; system performance; receiver sensitivity; coherent optical communications.

ELEN E6413 Lightwave systems. 3 points.

Lect: 2.

Prerequisites: (ELEN E4411) Recommended preparation: ELEN E6412.

Fiber optics. Guiding, dispersion, attenuation, and nonlinear properties of fibers. Optical modulation schemes. Photonic components, optical amplifiers. Semiconductor laser transmitters. Receiver design. Fiber optic telecommunication links. Nonregenerative transmission using erbium-doped fiber amplifier chains. Coherent detection. Local area networks. Advanced topics in light wave networks.

ELEN E6414 Photonic integrated circuits. 3 points.

Lect: 3.

Photonic integrated circuits are important subsystem components for telecommunications, optically controlled radar, optical signal processing, and photonic local area networks. This course will introduce the student to the devices and the design of these circuits. Principle and modelling of dielectic waveguides (including silica on silicon and InP based materials), waveguide devices (simple and star couplers), and surface diffractive elements. Numerical techniques for modelling circuits will be discussed, including beam propagation and finite difference codes. Design of other devices will be discussed: optical isolators, demultiplexers.

Spring 2018: ELEN E6414
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6414 001/71781 T 4:10pm - 6:40pm
602 Northwest Corner
Michal Lipson 3 8/30

ELEN E6430 Applied quantum optics. 3 points.

Lect: 2.

Prerequisites: Background in electromagnetism (ELEN E3401, ELEN E4401, ELEN E4411, or Physics GR6092) and quantum mechanics (APPH E3100, E4100, or PHYS GU402x).

An introduction to fundamental concepts of quantum optics and quantum electrodynamics with an emphasis on applications in nanophotonic devices. The quantization of the electromagnetic field; coherent and squeezed states of light; interaction between light and electrons in the language of quantum electrodynamics (QED); optical resonators and cavity QED; low-threshold lasers; and entangled states of light.

ELEN E6488 Optical interconnects and interconnection networks. 3 points.

Lect: 2.

Prerequisites: (ELEN E4411) or (ELEN E4488) or an equivalent photonics course.

Introduction to optical interconnects and interconnection networks for digital systems. Fundamental optical interconnects technologies, optical interconnection network design, characterization, and performance evaluation. Enabling photonic technologies including free-space structures, hybrid and monolithic integration platforms for photonic on-chip, chip-to-chip, backplane, and node-to-node interconnects, as well as photonic networks on-chip.

Spring 2018: ELEN E6488
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6488 001/62980 M 7:00pm - 9:30pm
602 Lewisohn Hall
3 4/30

ELEN E6711 Stochastic models in information systems. 4.5 points.

Lect: 3.

Prerequisites: (IEOR E3658)

Foundations: probability review, Poisson processes, discrete-time Markov models, continuous-time Markov models, stationarity, and ergodicity. The course presents a sample-path (time domain) treatment of stochastic models arising in information systems, including at least one of the following areas: communications networks (queueing systems), biological networks (hidden Markov models), Bayesian restoration of images (Gibbs fields), and electric networks (random walks).

ELEN E6712 Communication theory. 3 points.

Lect: 3.

Prerequisites: (ELEN E4815) or ELEN E4815, or the equivalent, or the instructor's permission.

Representation of bandlimited signals and systems. Coherent and incoherent communications over Gaussian channels. Basic digital modulation schemes. Intersymbol inference channels. Fading multipath channels. Carrier and clock synchronization.

ELEN E6713 Topics in communications. 3 points.

Lect: 3.

Prerequisites: (ELEN E6712) or (ELEN E4702) or (ELEN E4703) or equivalent, or instructor's permission.

Advanced topics in communications, such as turbo codes, LDPC codes, multiuser communications, network coding, cross-layer optimization, cognitive radio. Content may vary from year to year to reflect the latest development in the field.

Fall 2017: ELEN E6713
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6713 001/14955 T 1:10pm - 3:40pm
403 International Affairs Bldg
Jacob Sharony 3 6/80

ELEN E6717 Information theory. 3 points.

Lect: 2.

Prerequisites: (IEOR E3658) or or a course in stochastic processes.
Corequisites: ELEN E4815

Mutual information and entropy. The source coding theorem. The capacity of discrete memoryless channels and the noisy channel coding theorem. The rate distortion function. Discrete memoryless sources and single-letter distortion measures. Bhattacharya bounds, convolutional codes, and the Viterbi algorithm.

Spring 2018: ELEN E6717
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6717 001/65551 F 2:10pm - 4:00pm
524 Seeley W. Mudd Building
Xiaodong Wang 3 20/40

ELEN E6718 Error Correcting Codes: Classical and Modern. 3 points.

Lect: 2.

Prerequisites: (IEOR E3658) IEOR E3658.

Elementary concepts of error control codes. Linear block codes. Elements of algebra: Galois fields. Cyclic codes: BCH, Reed Solomon, Goppa codes. Coder, decoder implementation. Decoding algorithms based on spectral techniques. Convolutional codes.

Fall 2017: ELEN E6718
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6718 001/21810 W 7:00pm - 9:30pm
201d Philosophy Hall
Alexei Ashikhmin 3 5/50

ELEN E6761 Computer communication networks I. 3 points.

Lect: 3.

Prerequisites: (IEOR E3658) and (CSEE W4119) or equivalent, or the instructor's permission.

Focus on architecture protocols and performance evaluation of geographically distributed and local area data networks. Emphasis on layered protocols. Data link layer. Network layer: flow and congestion control routing. Transport layer. Typical Local and Metropolitan Area Network standards: Ethernet, DQDB, FDDI. Introduction to Internetting. Review of relevant aspects of queueing theory to provide the necessary analytical background.

Fall 2017: ELEN E6761
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6761 001/13742 T Th 10:10am - 11:25am
1024 Seeley W. Mudd Building
Javad Ghaderi 3 17/70

ELEN E6762 Computer communication networks II. 3 points.

Lect: 2.

Prerequisites: (ELEN E6761)

Broadband ISDN--Services and protocols; ATM. Traffic characterization and modeling: Markov-modulated Poisson and Fluid Flow processes; application to voice, video, and images. Traffic Management in ATM networks: admission and access control, flow control. ATM switch architectures; input/output queueing. Quality of service (QoS) concepts.

ELEN E6767 Internet economics, engineering, and the implications for society. 3 points.

Prerequisites: (CSEE W4119) or (ELEN E6761) and ability to comprehend and track development of sophisticated models.

Mathematical models, analyses of economic and networking interdependencies in the Internet. Topics include microeconomics of pricing and regulations in communications industry, game theory in revenue allocations, ISP settlements, network externalities, two-sided markets. Economic principles in networking and network design, decentralized vs. centralized resource allocation, “price of anarchy”, congestion control. Case studies of topical Internet issues. Societal and industry implications of Internet evolution.

Fall 2017: ELEN E6767
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6767 001/26118 M W 11:40am - 12:55pm
524 Seeley W. Mudd Building
Debasis Mitra 3 29/40
Spring 2018: ELEN E6767
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6767 001/21151 M W 11:40am - 12:55pm
834 Seeley W. Mudd Building
Debasis Mitra 3 40/40

ELEN E6770 Topics in networking. 3 points.

Lect: 2.

Further study of areas such as communication protocols and architectures, flow and congestion control in data networks, performance evaluation in integrated networks. Content varies from year to year, and different topics rotate through the course numbers 6770 to 6779.

Fall 2017: ELEN E6770
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6770 001/63626 Th 4:10pm - 6:40pm
545 Seeley W. Mudd Building
Krishnan Sabnani, Thomas Woo 3 34/50

ELEN E6776 Topics in networking. 3 points.

Topic: Content Distribution Networks.

Fall 2017: ELEN E6776
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6776 001/75931 W 4:10pm - 6:00pm
403 International Affairs Bldg
Anwar Walid 3 29/80

ELEN E6777 Topics in networking. 3 points.

Topic: Formal Methods of Communication.

ELEN E6779 Topics in networking. 3 points.

Topic: 4th Generation Packet-Switched Networks.

ELEN E6781 Topics in modeling and analysis of random phenomena. 3 points.

Lect: 3.

Prerequisites: (ELEN E6711)

Recommended preparation: a course on real analysis and advanced probability theory. Current methodology in research in stochastic processes applied to communication, control, and signal processing. Topics vary from year to year to reflect student interest and current developments in the field.

ELEN E6820 Speech and audio processing and recognition. 3 points.

Lect: 2.

Prerequisites: (ELEN E4810) or instructor's permission.

Fundamentals of digital speech processing and audio signals. Acoustic and perceptual basics of audio. Short-time Fourier analysis. Analysis and filterbank models. Speech and audio coding, compression, and reconstruction. Acoustic feature extraction and classification. Recognition techniques for speech and other sounds, including hidden Markov models.

ELEN E6850 Visual information systems. 3 points.

Lect: 2.

Prerequisites: (ELEN E4830) or instructor's permission.

Introduction to critical image technologies in advanced visual information systems, such as content-based image databases, video servers, and desktop video editors. Intended for graduate students. Topics include visual data representation and compression, content-based visual indexing and retrieval, storage system design (data placement, scheduling, and admission control), compressed video editing, and synchronization issues of stored video/audio signals. Programming projects and final presentations are required.

ELEN E6860 Advanced digital signal processing. 3 points.

Lect: 2.

Prerequisites: (ELEN E4810) This course is designed as an extension to ELEN E4810, with emphasis on emerging techniques in the area of digital signal processing.

Topics include multirate signal processing, multidimensional signal processing, short-time Fourier transform, signal expansion in discrete and continuous time, filter banks, multiresolution analysis, wavelets, and their applications to image compression and understanding. Other topics may be included to reflect developments in the field.

ELEN E6873 Detection and estimation theory. 3 points.

Lect.: 2.

Prerequisites: (ELEN E4815)

Introduction to the fundamental principles of statistical signal processing related to detection and estimation. Hypothesis testing, signal detection, parameter estimation, signal estimation, and selected advanced topics. Suitable for students doing research in communications, control, signal processing, and related areas.

Fall 2017: ELEN E6873
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6873 001/81746 T 7:00pm - 9:30pm
327 Seeley W. Mudd Building
Shang Li 3 21

ELEN E6880 Topics in signal processing. 3 points.

Lect: 2.

Prerequisites: (ELEN E4810)

Advanced topics in signal processing, such as multidimensional signal processing, image feature extraction, image/video editing and indexing, advanced digital filter design, multirate signal processing, adaptive signal processing, and wave-form coding of signals. Content varies from year to year, and different topics rotate through the course numbers 6880 to 6889. Current topic for 6880: MIMO Wireless Communication.

ELEN E6881 Topics in signal processing. 3 points.

Prerequisites: ELEN E4810

Topic: Multicarrier Resource Allocation.

ELEN E6882 Topics in signal processing. 3 points.

Prerequisites: (ELEN E4810)

Topic: Mobile Sensing & Analytics.

ELEN E6883 Topics in signal processing. 3 points.

Prerequisites: (ELEN E4810)

Topic: Modern Storage Systems.

ELEN E6884 Topics in signal processing. 3 points.

Prerequisites: ELEN E4810

Topic: Data Compression.  

ELEN E6885 Topics in signal processing. 3 points.

Prerequisites: (ELEN E4810)

Topic: Network Science.

Fall 2017: ELEN E6885
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6885 001/23297 F 8:10am - 10:10am
207 Mathematics Building
Chong Li 3 130/150

ELEN E6886 Topics in signal processing. 3 points.

Prerequisites: (ELEN E4810)

Topic: Sparse Representations / High-Dimensional Geometry.  

Spring 2018: ELEN E6886
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6886 001/74642 M 1:10pm - 3:40pm
545 Seeley W. Mudd Building
John Wright 3 41/60

ELEN E6888 Topics in signal processing. 3 points.

Prerequisites: (ELEN E4810)

Topic: Introduction to Modern Broadband Wireless Systems.

ELEN E6889 Topics in signal processing. 3 points.

Prerequisites: ELEN E4810

Topic: Large Data Stream Processing.

Spring 2018: ELEN E6889
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6889 001/66983 T 7:00pm - 9:30pm
415 Schapiro Cepser
Deepak Turaga 3 40/40

ELEN E6900 Topics in electrical and computer engineering. 3 points.

Lect: 2.

Prerequisites: The instructor's permission.

Selected topics in electrical and computer engineering. Content varies from year to year, and different topics rotate through the course numbers 6900 to 6909.

ELEN E6901 Topics in electrical and computer engineering. 3 points.

Topic: Advances in Phase-Locked Loops.

ELEN E6902 Topics in electrical and computer engineering. 3 points.

Topic: Renewable Power Systems.

Spring 2018: ELEN E6902
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6902 001/73637 Th 10:10am - 12:40pm
558 Ext Schermerhorn Hall
Matthias Preindl 3 12/30

ELEN E6903 Topics in electrical and computer engineering. 3 points.

Topic: Principles of RF and Microwave Measurements.

Fall 2017: ELEN E6903
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6903 001/16048 Th 4:10pm - 6:40pm
307 Pupin Laboratories
Shahriar Shahramian 3 19/30

ELEN E6904 Topics in electrical and computer engineering. 3 points.

Topic: Antenna Design.

ELEN E6906 Topics in electrical and computer engineering. 3 points.

Topic: Low-Dimensional Nanoelectronics.

ELEN E6907 Topics in electrical and computer engineering. 3 points.

Topic: Emerging Nanoelectronic Devices.

Fall 2017: ELEN E6907
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6907 001/21552 F 10:10am - 12:40pm
503 Hamilton Hall
George Tulevski 3 8/50

ELEN E6908 Topics in electrical and computer engineering. 3 points.

Topic: Quantum Computing and Communications

ELEN E6909 Topics in electrical and computer engineering. 3 points.

Topic: Network Algorithms & Dynamics.

ELEN E6920 Topics in VLSI systems design. 3 points.

Lect: 2.

Prerequisites: (EECS E4321)

Design automation: layout, placement, and routing. Circuit simulation algorithms and optimization of performance and area. Multiprocessor computing systems. Verification of testing. Topics may change from year to year.

ELEN E6945 Device nanofabrication. 3 points.

Lect: 3.

Prerequisites: (ELEN E3106) and (ELEN E3401) or equivalent. Recommended: ELEN E4944.

This course provides an understanding of the methods used for structuring matter on the nanometer length: thin-film technology; lithographic patterning and technologies including photon, electron, ion and atom, scanning probe, soft lithography, and nanoimprinting; pattern transfer; self-assembly; process integration; and applications.

Spring 2018: ELEN E6945
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6945 001/29489 Th 1:10pm - 3:00pm
Room TBA
Dion Khodagholy 3 15/50

ELEN E6950 Wireless and mobile networking I. 4.5 points.

Lect: 2. Lab: 1.

Corequisites: ELEN E6761

Overview of mobile and wireless networking. Fundamental concepts in mobile wireless systems: propagation and fading, cellular systems, channel assignment, power control, handoff. Examples of second-generation circuits-switched systems and standards. Quantitative homework assignments may require use of a mathematical software package.

Fall 2017: ELEN E6950
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6950 001/18215 T 4:10pm - 6:40pm
545 Seeley W. Mudd Building
Predrag Jelenkovic 4.5 7/50

ELEN E6999 Fieldwork. 1-1.5 points.

Prerequisites: Obtained internship and approval from a faculty advisor.

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 graduate students who include relevant off-campus work experience as part of their approved program of study.  Final report required.  May not be taken for pass/fail credit or audited.

Summer 2017: ELEN E6999
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6999 001/63008  
Predrag Jelenkovic 1-1.5 0
ELEN 6999 002/69692  
Xiaofan Jiang 1-1.5 12
ELEN 6999 003/60780  
John Paisley 1-1.5 0
ELEN 6999 004/61779  
Harish Krishnaswamy 1-1.5 11
ELEN 6999 005/63029  
Debasis Mitra 1-1.5 9
ELEN 6999 006/64031  
Javad Ghaderi 1-1.5 0
ELEN 6999 007/60846  
Xiaodong Wang 1-1.5 0
ELEN 6999 008/61047  
Zoran Kostic 1-1.5 9
ELEN 6999 009/61397  
Charles Zukowski 1-1.5 17
ELEN 6999 010/83447  
Matthias Preindl 1-1.5 9
Fall 2017: ELEN E6999
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 6999 001/17799  
Zoran Kostic 1-1.5 8
ELEN 6999 002/18048  
Xiaofan Jiang 1-1.5 7
ELEN 6999 003/18297  
Matthias Preindl 1-1.5 3
ELEN 6999 004/18396  
Debasis Mitra 1-1.5 6
ELEN 6999 005/20964  
Charles Zukowski 1-1.5 1

ELEN E9001 Research. 0 points.

0 to 6 pts.

Prerequisites: Requires approval by a faculty member who agrees to supervise the work.

Points of credit to be approved by the department. Requires submission of an outline of the proposed research for approval by the faculty member who is to supervise the work of the student. The research facilities of the department are available to qualified students interested in advanced study.

Summer 2017: ELEN E9001
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 9001 001/28445  
Kenneth Shepard 0 1
ELEN 9001 003/13696  
Xiaofan Jiang 0 1
Fall 2017: ELEN E9001
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 9001 001/14347  
Dimitris Anastassiou 0 0
ELEN 9001 002/63759  
Keren Bergman 0 7
ELEN 9001 003/61647  
Shih-Fu Chang 0 0
ELEN 9001 004/64824  
Daniel Ellis 0 0
ELEN 9001 005/10527  
Javad Ghaderi 0 1
ELEN 9001 006/10801  
Christine Hendon 0 1
ELEN 9001 007/10974  
Predrag Jelenkovic 0 0
ELEN 9001 008/18625  
Xiaofan Jiang 0 0
ELEN 9001 009/19903  
Ethan Katz-Bassett 0 0
ELEN 9001 010/11943  
Peter Kinget 0 1
ELEN 9001 011/23303  
Dion Khodagholy 0 0
ELEN 9001 012/71819  
Zoran Kostic 0 0
ELEN 9001 013/23021  
Harish Krishnaswamy 0 6
ELEN 9001 014/25888  
Ioannis Kymissis 0 2
ELEN 9001 015/11073  
Aurel Lazar 0 0
ELEN 9001 016/62354  
Michal Lipson 0 1
ELEN 9001 017/11695  
Nima Mesgarani 0 3
ELEN 9001 018/18737  
Debasis Mitra 0 1
ELEN 9001 019/23451  
Richard Osgood 0 1
ELEN 9001 020/26376  
John Paisley 0 0
ELEN 9001 021/15071  
Matthias Preindl 0 4
ELEN 9001 022/10366  
Mingoo Seok 0 3
ELEN 9001 023/69558  
Kenneth Shepard 0 7
ELEN 9001 024/70446  
James Teherani 0 2
ELEN 9001 025/21704  
Yannis Tsividis 0 0
ELEN 9001 026/21815  
David Vallancourt 0 0
ELEN 9001 027/25640  
Wen Wang 0 0
ELEN 9001 028/20631  
Xiaodong Wang 0 2
ELEN 9001 029/26293  
John Wright 0 1
ELEN 9001 030/63013  
Charles Zukowski 0 0
ELEN 9001 031/61364  
Gil Zussman 0 0

ELEN E9002 Research. 0 points.

0 to 6 pts.

Prerequisites: Requires approval by a faculty member who agrees to supervise the work.

Points of credit to be approved by the department. Requires submission of an outline of the proposed research for approval by the faculty member who is to supervise the work of the student. The research facilities of the department are available to qualified students interested in advanced study.

Summer 2017: ELEN E9002
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 9002 001/67249  
Kenneth Shepard 0 1
Spring 2018: ELEN E9002
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 9002 001/69050  
Dimitris Anastassiou 0 1
ELEN 9002 002/65915  
Keren Bergman 0 0
ELEN 9002 003/74132  
Shih-Fu Chang 0 1
ELEN 9002 004/75874  
Javad Ghaderi 0 0
ELEN 9002 005/13045  
Christine Hendon 0 1
ELEN 9002 006/68730  
Predrag Jelenkovic 0 0
ELEN 9002 007/60106  
Xiaofan Jiang 0 0
ELEN 9002 008/18934  
Ethan Katz-Bassett 0 0
ELEN 9002 009/61152  
Dion Khodagholy 0 0
ELEN 9002 010/15921  
Peter Kinget 0 0
ELEN 9002 011/22631  
Zoran Kostic 0 0
ELEN 9002 012/24925  
Harish Krishnaswamy 0 0
ELEN 9002 013/64448  
Ioannis Kymissis 0 0
ELEN 9002 014/11595  
Aurel Lazar 0 0
ELEN 9002 015/73187  
Michal Lipson 0 2
ELEN 9002 016/77356  
Nima Mesgarani 0 1
ELEN 9002 017/17087  
Debasis Mitra 0 0
ELEN 9002 018/64115  
Richard Osgood 0 0
ELEN 9002 019/12282  
John Paisley 0 0
ELEN 9002 020/63248  
Matthias Preindl 0 0
ELEN 9002 021/17731  
Mingoo Seok 0 0
ELEN 9002 022/21818  
Kenneth Shepard 0 0
ELEN 9002 023/70977  
James Teherani 0 0
ELEN 9002 024/64842  
Yannis Tsividis 0 0
ELEN 9002 025/18295  
David Vallancourt 0 0
ELEN 9002 026/18228  
Wen Wang 0 0
ELEN 9002 027/17171  
Xiaodong Wang 0 0
ELEN 9002 028/64231  
John Wright 0 0
ELEN 9002 029/23645  
Charles Zukowski 0 0
ELEN 9002 030/15337  
Gil Zussman 0 0
ELEN 9002 031/63289  
Ethan Katz-Bassett 0 0

ELEN E9011 Doctoral research. 0 points.

0 to 6 pts.

Prerequisites: Requires approval by a faculty member who agrees to supervise the work.

Points of credit to be approved by the department. Open only to doctoral students who have passed the qualifying examinations. Requires submission of an outline of the proposed research for the approval of the faculty member who is to supervise the work of the student.

ELEN E9012 Doctoral research. 0 points.

0 to 6 pts.

Prerequisites: Requires approval by a faculty member who agrees to supervise the work.

Points of credit to be approved by the department. Open only to doctoral students who have passed the qualifying examinations. Requires submission of an outline of the proposed research for the approval of the faculty member who is to supervise the work of the student.

ELEN E9060 Seminar in systems biology. 3 points.

Lect: 2.

Open to doctoral candidates, and to qualified M.S. candidates with the instructor's permission. Study of recent developments in the field of systems biology.

ELEN E9101 Seminar in physical electronics. 3 points.

Lect: 2.

Prerequisites: (ELEN E4944) and quantum electronics, or the instructor's permission.

Advanced topics in classical and quantum phenomena that are based on ion and electron beams, gas discharges, and related excitation sources. Application to new laser sources and microelectronic fabrication.

ELEN E9201 Seminar in circuit theory. 3 points.

Lect: 2.

Open to doctoral candidates, and to qualified M.S. candidates with the instructor's permission. Study of recent developments in linear, nonlinear, and distributed circuit theory and analysis techniques important to the design of very large scale integrated circuits.

ELEN E9301 Seminar in electronic devices. 3 points.

Lect: 2.

Open to doctoral candidates, and to qualified M.S. candidates with the instructor's permission. Theoretical and experimental studies of semiconductor physics, devices, and technology.

Spring 2018: ELEN E9301
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 9301 001/14847 M 1:10pm - 3:00pm
602 Northwest Corner
Thomas Theis 3 4/30

ELEN E9303 Seminar in electronic circuits. 3 points.

Lect: 2.

Open to doctoral candidates, and to qualified M.S. candidates with the instructor's permission. Study of recent developments in electronic circuits.

ELEN E9402 Seminar in quantum electronics. 3 points.

Lect: 2.

Open to doctoral candidates, and to qualified M.S. candidates with the instructor's permission. Recent experimental and theoretical developments in various areas of quantum electronics research. Examples of topics that may be treated include novel nonlinear optics, lasers, transient phenomena, and detectors.

ELEN E9403 Seminar in photonics. 3 points.

Lect: 2.

Prerequisites: (ELEN E4411)

Open to doctoral candidates, and to qualified M.S. candidates with the instructor's permission. Recent experimental and theoretical developments in various areas of photonics research. Examples of topics that may be treated include squeezed-light generation, quantum optics, photon detection, nonlinear optical effects, and ultrafast optics.

Spring 2018: ELEN E9403
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 9403 001/69273 F 2:00pm - 3:00pm
Room TBA
Michal Lipson 3 0

ELEN E9404 Seminar in lightwave communications. 3 points.

Lect: 2.

Open to doctoral candidates, and to qualified M.S. candidates with the instructor's approval. Recent theoretical and experimental developments in light wave communications research. Examples of topics that may be treated include information capacity of light wave channels, photonic switching, novel light wave network architectures, and optical neural networks.

ELEN E9501 Seminar in electrical power networks. 3 points.

Lect: 2.

Prerequisites: Open to doctoral candidates, and to qualified M.S. candidates with the instructor's permission.

Recent developments in control & optimization for power systems, design of smart grid, and related topics.

ELEN E9701 Seminar in information and communication theories. 3 points.

Lect: 2.

Open to doctoral candidates, and to qualified M.S. candidates with the instructor's permission. Recent developments in telecommunication networks, information and communication theories, and related topics.

ELEN E9800 Doctoral research instruction. 0 points.

3, 6, 9 or 12 pts.

A candidate for the Eng.Sc.D. degree in electrical engineering must register for 12 points of doctoral research instruction. Registration in ELEN E9800 may not be used to satisfy the minimum residence requirement for the degree.

Fall 2017: ELEN E9800
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ELEN 9800 001/61897  
Peter Kinget 0 0

ELEN E9801 Seminar in signal processing. 3 points.

Lect: 2.

Open to doctoral candidates, and to qualifies M.S. candidates with the instructor's approval.  Recent developments in theory and applications of signal processing, machine learning, content analysis, and related topics.

ELEN E9900 Doctoral dissertation. 0 points.

0 pts.

A candidate for the doctorate may be required to register for this course every term after the student's course work has been completed, and until the dissertation has been accepted.

CSEE E6180 Modeling and Performance. 3 points.

Lect: 2.

Prerequisites: (COMS W4118) and (STAT GU4001) COMS W4118 and SIEO W4150.

Introduction to queuing analysis and simulation techniques. Evaluation of time-sharing and multiprocessor systems. Topics include priority queuing, buffer storage, and disk access, interference and bus contention problems, and modeling of program behaviors.

CSEE E6824 Parallel Computer Architecture. 3 points.

Lect: 2.

Prerequisites: (CSEE W4824)

Parallel computer principles, machine organization and design of parallel systems including parallelism detection methods, synchronization, data coherence and interconnection networks. Performance analysis and special purpose parallel machines.

CSEE E6847 Distributed Embedded Systems. 3 points.

Lect: 2.Not offered during 2017-18 academic year.

Prerequisites: Any COMS W411X, CSEE W48XX or ELEN E43XX course, or the instructor's permission.

An interdisciplinary graduate-level seminar on the design of distributed embedded systems. System robustness in the presence of highly variable communication delays and heterogeneous component behaviors. The study of the enabling technologies (VLSI circuits, communication protocols, embedded processors, RTOSs), models of computation, and design methods. The analysis of modern domain-specific applications including on-chip micro-networks, multiprocessor systems, fault-tolerant  architectures, and robust deployment of embedded software. Research challenges such as design complexity, reliability, scalability, safety, and security. The course requires substantial reading, class participation and a research project.

CSEE E6861 Computer-Aided Design of Digital Systems. 3 points.

Lect: 2.

Prerequisites: (CSEE W4823) and (COMS W3134) and (COMS W3136) and (COMS W3137) and (COMS W3157) or (i) one semester of advanced digital logic (CSEE 4823 or equivalent, or the instructor's permission); and (ii) a basic course in data structures and algorithms (COMS W3134, W3136, W3137, W3157, or equivalent, and familiarity with programming.

Introduction to modern digital CAD synthesis and optimization techniques. Topics include: modern digital system design (high-level synthesis, register-transfer level modeling, algorithmic state machines, optimal scheduling algorithms, resource allocation and binding, retiming), controller synthesis and optimization, exact and heuristic two-level logic minimization, advanced multi-level logic optimization, optimal technology mapping to library cells (for delay, power and area minimization), advanced data structures (binary decision diagrams), SAT solvers and their applications, static timing analysis, and introduction to testability. Includes hands-on small design projects using and creating CAD tools.

CSEE E6863 Formal verification of hardware and software systems. 3 points.

Lect: 2.

Prerequisites: (COMS W3134) and (COMS W3136) or (COMS W3137) and (COMS W3261)

Introduction to the theory and practice of formal methods for the design and analysis of correct (i.e. bug-free) concurrent and embedded hardware/software systems. Topics include temporal logics; model checking; deadlock and liveness issues; fairness; satisfiability (SAT) checkers; binary decision diagrams (BDDs); abstraction techniques; introduction to commercial formal verification tools. Industrial state-of-art, case studies and experiences: software analysis (C/C++/Java), hardware verification (RTL).

Fall 2017: CSEE E6863
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSEE 6863 001/87531 W 6:10pm - 8:00pm
214 Pupin Laboratories
Michael Theobald, Franjo Ivancic 3 45/60

CSEE E6868 Embedded scalable platforms. 3 points.

Lect: 2.

Prerequisites: (CSEE W4868) or CSEE W4868 or instructor permission.

Inter-disciplinary graduate-level seminar on design and programming of embedded scalable platforms. Content varies between offerings to cover timely relevant issues and latest advances in system-on-chip design, embedded software programming, and electronic design automation. Requires substantial reading of research papers, class participation, and semester-long project.

Spring 2018: CSEE E6868
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSEE 6868 001/28461 Th 4:10pm - 6:00pm
834 Seeley W. Mudd Building
Luca Carloni 3 18/40

CSEE W3827 Fundamentals of Computer Systems. 3 points.

Lect: 3.

Prerequisites: an introductory programming course.

Fundamentals of computer organization and digital logic. Boolean algebra, Karnaugh maps, basic gates and components, flipflops and latches, counters and state machines, basics of combinational and sequential digital design. Assembly language, instruction sets, ALU’s, single-cycle and multi-cycle processor design, introduction to pipelined processors, caches, and virtual memory.

Fall 2017: CSEE W3827
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSEE 3827 001/20794 T Th 10:10am - 11:25am
501 Schermerhorn Hall
Martha Kim 3 196/215
Spring 2018: CSEE W3827
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSEE 3827 001/72320 T Th 10:10am - 11:25am
Room TBA
Daniel Rubenstein 3 154/150

CSEE W4119 Computer Networks. 3 points.

Lect: 3.

Corequisites: IEOR E3658,IEOR E4150

Introduction to computer networks and the technical foundations of the Internet, including applications, protocols, local area networks, algorithms for routing and congestion control, security, elementary performance evaluation. Several written and programming assignments required.

Fall 2017: CSEE W4119
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSEE 4119 001/74094 T Th 1:10pm - 2:25pm
301 Pupin Laboratories
Ethan Katz-Bassett 3 89/150
Spring 2018: CSEE W4119
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSEE 4119 001/26750 F 1:10pm - 3:40pm
501 Northwest Corner
Henning Schulzrinne 3 44/130

CSEE W4140 Networking Laboratory. 3 points.

Lect: 3.

Prerequisites: (CSEE W4119) or equivalent.

In this course, students will learn how to put "principles into practice," in a hands-on-networking lab course. The course will cover the technologies and protocols of the Internet using equipment currently available to large internet service providers such as CISCO routers and end systems. A set of laboratory experiments will provide hands-on experience with engineering wide-area networks and will familiarize students with the Internet Protocol (IP), Address Resolution Protocol (ARP), Internet Control Message Protocol (ICMP), User Datagram Protocol (UDP) and Transmission Control Protocol (TCP), the Domain Name System (DNS), routing protocols (RIP, OSPF, BGP), network management protocols (SNMP, and application-level protocols (FTP, TELNET, SMTP).

Fall 2017: CSEE W4140
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSEE 4140 001/28029 W 10:10am - 11:25am
337 Seeley W. Mudd Building
Gil Zussman 3 15/32
Spring 2018: CSEE W4140
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSEE 4140 001/11241 M W 10:10am - 11:25am
Room TBA
Gil Zussman 3 26/42

CSEE W4823 Advanced Logic Design. 3 points.

Lect: 3.

Prerequisites: (CSEE W3827) or CSEE W3827, or a half semester introduction to digital logic, or the equivalent.

An introduction to modern digital system design. Advanced topics in digital logic: controller synthesis (Mealy and Moore machines); adders and multipliers; structured logic blocks (PLDs, PALs, ROMs); iterative circuits. Modern design methodology: register transfer level modelling (RTL); algorithmic state machines (ASMs); introduction to hardware description languages (VHDL or Verilog); system-level modelling and simulation; design examples.

Spring 2018: CSEE W4823
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSEE 4823 001/28452 M W 11:40am - 12:55pm
428 Pupin Laboratories
Mingoo Seok 3 38/80

CSEE W4824 Computer Architecture. 3 points.

Lect: 3.

Prerequisites: (CSEE W3827) or equivalent.

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.

Spring 2018: CSEE W4824
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSEE 4824 001/20248 M W 4:10pm - 5:25pm
633 Seeley W. Mudd Building
Simha Sethumadhavan 3 58/60

CSEE W4840 Embedded Systems. 3 points.

Lect: 3.

Prerequisites: (CSEE W4823) CSEE W4823.

Embedded system design and implementation combining hardware and software. I/O, interfacing, and peripherals. Weekly laboratory sessions and term project on design of a microprocessor-based embedded system including at least one custom peripheral. Knowledge of C programming and digital logic required.

CSEE W4868 System-on-chip platforms. 3 points.

Prerequisites: (COMS W3157) and (CSEE W3827) COMS W3157 and CSEE W3827

Design and programming of System-on-Chip (SoC) platforms. Topics include: overview of technology and economic trends, methodologies and supporting CAD tools for system-level design, models of computation, the SystemC language, transaction-level modeling, software simulation and virtual platforms, hardware-software partitioning, high-level synthesis, system programming and device drivers, on-chip communication, memory organization, power management and optimization, integration of programmable processor cores and specialized accelerators. Case studies of modern SoC platforms for various classes of applications.

Fall 2017: CSEE W4868
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CSEE 4868 001/23175 T Th 11:40am - 12:55pm
717 Hamilton Hall
Luca Carloni 3 26/64

CSEE W6600 From Data to Solutions. 3 points.

Lect: 3.Not offered during 2017-18 academic year.

Prerequisites: Ability to study research solutions and write a coherent weekly report in English that summarizes problems involving large-scale data sets and solutions based on data science methods and tools

Introduces students interested in data science and interdisciplinary research to a wide variety of problems in medical research, journalism, history, economics, business, English, psychology, and other areas which might benefit from computational approaches.

BMEE E4030 Neural control engineering. 3 points.

Lect: 3.

Prerequisites: (ELEN E3801) ELEN E3801

Topics include: basic cell biophysics, active conductance and the Hodgkin-Huxley model, simple neuron models, ion channel models and synaptic models, statistical models of spike generation, Wilson-Cowan model of cortex, large-scale electrophysiological recording methods, sensorimotor integration and optimal state estimation, operant conditioning of neural activity, nonlinear modeling of neural systems, sensory systems: visual pathway and somatosensory pathway, neural encoding model: spike triggered average (STA) and spike triggered covariance (STC) analysis, neuronal response to electrical micro-stimulation, DBS for Parkinson's disease treatment, motor neural prostheses, and sensory neural prostheses.

Fall 2017: BMEE E4030
Course Number Section/Call Number Times/Location Instructor Points Enrollment
BMEE 4030 001/18570 Th 1:10pm - 3:40pm
963 Ext Schermerhorn Hall
Qi Wang 3 25/40

BMEE E4400 Wavelet applications in biomedical image and signal processing. 3 points.

Lect: 3.Not offered during 2017-18 academic year.

Prerequisites: (APMA E2101) or (APMA E3101) or equivalent.

An introduction to methods of wavelet analysis and processing techniques for the quantification of biomedical images and signals. Topics include: frames and overcomplete representations, multiresolution algorithms for denoising and image restoration, multiscale texture segmentation and classification methods for computer aided diagnosis.

BMEE E4740 Bioinstrumentation. 3 points.

Lect: 1. Lab: 3.

Prerequisites: (ELEN E1201) and (COMS W1005)

Hands-on experience designing, building, and testing the various components of a benchtop cardiac pacemaker. Design instrumentation to measure biomedical signals as well as to actuate living tissues. Transducers, signal conditioning electronics, data acquisition boards, the Arduino microprocessor, and data acquisition and processing using MATLAB will be covered. Various devices will be discussed throughout the course, with laboratory work focusing on building an emulated version of a cardiac pacemaker.

Spring 2018: BMEE E4740
Course Number Section/Call Number Times/Location Instructor Points Enrollment
BMEE 4740 001/70125 F 10:10am - 12:40pm
253 Engineering Terrace
Aaron Kyle 3 24/24

BMEE E6030 Neural modeling and neuroengineering. 3 points.

Lect: 3.

Prerequisites: (ELEN E3801) and (APMA E2101) or (APMA E3101) or equivalent, or instructor's permission.

Engineering perspective on the study of multiple levels of brain organization, from single neurons to cortical modules and systems. Mathematical models of spiking neurons, neural dynamics, neural coding, and biologically-based computational learning. Architectures and learning principles underlying both artificial and biological neural networks. Computational models of cortical processing, with an emphasis on the visual system. Applications of principles in neuroengineering; neural prostheses, neuromorphic systems and biomimetics. Course will include a computer simulation laboratory. Lab required.

EEBM E6020 Methods of computational neuroscience. 4.5 points.

Lect: 3.

Prerequisites: (BMEB W4020)

Formal methods in computational neuroscience including methods of signal processing, communications theory, information theory, systems and control, system identification and machine learning. Molecular models of transduction pathways. Robust adaptation and integral feedback. Stimulus representation and groups. Stochastic and dynamical systems models of spike generation. Neural diversity and ensemble encoding. Time encoding machines and neural codes. Stimulus recovery with time decoding machines. MIMO models of neural computation. Synaptic plasticity and learning algorithms. Major project(s) in MATLAB.

EEBM E6090 Topics in computational neuroscience and neuroengineering: Brian/Computer Interfaces. 3 points.

Lect: 2.

Prerequisites: The instructor's permission.

Selected advanced topics in computational neuroscience and neuroengineering. Content varies from year to year, and different topics rotate through the course numbers 6090-6099.

EEBM E6091 Topics in computational neuroscience and neuroengineering. 3 points.

Lect: 2.

Prerequisites: The instructor's permission.

Topic: Neuromorphic Engineering.

EEBM E6092 Topics in computational neuroscience and neuroengineering. 3 points.

Lect: 2.

Prerequisites: The instructor's permission.

Topic: Big Data in Neurscience.

EEBM E6099 Topics in computational neuroscience and neuroengineering: Brian/Computer Interfaces. 3 points.

Lect: 2.

Prerequisites: The instructor's permission.

Selected advanced topics in computational neuroscience and neuroengineering. Content varies from year to year, and different topics rotate through the course numbers 6090-6099.

EEBM E9070 Seminar in computational neuroscience and neuroengineering. 3 points.

Lect: 3.

Prerequisites: (BMEB W4020) or permission of instructor.

Drosophila connectomics. Detailed description of the fruit fly's olfactory and vision systems. Parallel processing on GPSs. 

ECBM E3060 Introduction to genomic information science and technology. 3 points.

Lect: 3.

Introduction to the information system paradigm of molecular biology. Representation, organization, structure, function and manipulation of the biomolecular sequences of nucleic acids and proteins. The role of enzymes and gene regulatory elements in natural biological functions as well as in biotechnology and genetic engineering. Recombination and other macromolecular processes viewed as mathematical operations with simulation and visualization using simple computer programming. This course shares lectures with ECBM E4060, but the work requirements differ somewhat.

ECBM E4040 Neural networks and deep learning. 3 points.

Lect: 3.

Prerequisites: (BMEB W4020) or (BMEE E4030) or (ECBM E4090) or (EECS E4750) or (COMS W4771) or equivalent.

Developing features & internal representations of the world, artificial neural networks, classifying handwritten digits with logistics regression, feedforward deep networks, back propagation in multilayer perceptrons, regularization of deep or distributed models, optimization for training deep models, convolutional neural networks, recurrent and recursive neural networks, deep learning in speech and object recognition.

Fall 2017: ECBM E4040
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ECBM 4040 001/72475 F 10:10am - 12:40pm
207 Mathematics Building
Zoran Kostic 3 124/152

ECBM E4060 Introduction to Genomic Information. 3 points.

Lect: 3.

Introduction to the information system paradigm of molecular biology. Representation, organization, structure, function, and manipulation of the biomolecular sequences of nucleic acids and proteins. The role of enzymes and gene regulatory elements in natural biological functions as well as in biotechnology and genetic engineering. Recombination and other macromolecular processes viewed as mathematical operations with simulation and visualization using simple computer programming. 

Fall 2017: ECBM E4060
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ECBM 4060 001/26028 M 7:00pm - 9:30pm
702 Hamilton Hall
Dimitris Anastassiou 3 31/80

ECBM E4090 Brain computer interfaces (BCI) laboratory. 3 points.

Lect: 2. Lab: 3.

Prerequisites: (ELEN E3801)

Hands on experience with basic neural interface technologies. Recording EEG (electroencephalogram) signals using data acquisition systems (non-invasive, scalp recordings). Real-time analysis and monitoring of brain responses. Analysis of intention and perception of external visual and audio signals.

Fall 2017: ECBM E4090
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ECBM 4090 001/23800 T 10:10am - 12:40pm
207 Union Theological Seminary
Nima Mesgarani 3 18/21

ECBM E6040 Neural networks and deep learning research. 3 points.

Lect: 3.

Prerequisites: (ECBM E4040) or equivalent.

Regularized autoencoders, sparse coding and predictive sparse decomposition, denoising autoencoders, representation learning, manifold perspective on representation learning, structured probabilistic models for deep learning, Monte Carlo methods, training and evaluating models with intractable partition functions, restricted Boltzmann machines, approximate inference, deep belief networks, deep learning in speech and object recognition.

ECBM E6070 Topics in neuroscience & deep learning. 3 points.

Lect: 2. Not offered during 2017-18 academic year.

Prerequisites: Instructor's permission.

Selected advanced topics in neuroscience & deep learning. Content varies from year to year, and different topics rotate through the course numbers 6070 to 6079.

Spring 2018: ECBM E6070
Course Number Section/Call Number Times/Location Instructor Points Enrollment
ECBM 6070 001/17794 M 7:00pm - 9:00pm
627 Seeley W. Mudd Building
Aurel Lazar 3 44/50

EECS E4321 Digital VLSI circuits. 3 points.

Lect: 3.

Recommended preparation: ELEN E3331, CSEE W3827, and ELEN E3106. Design and analysis of high speed logic and memory. Digital CMOS and BiCMOS device modeling. Integrated circuit fabrication and layout. Interconnect and parasitic elements. Static and dynamic techniques. Worst-case design. Heat removal and I/O. Yield and circuit reliability. Logic gates, pass logic, latches, PLAs, ROMs, RAMs, receivers, drivers, repeaters, sense amplifiers.

Fall 2017: EECS E4321
Course Number Section/Call Number Times/Location Instructor Points Enrollment
EECS 4321 001/69760 M W 1:10pm - 2:25pm
313 Fayerweather
Kenneth Shepard 3 41/80

EECS E4340 Computer Hardware Design. 3 points.

Lect: 2.

Prerequisites: (ELEN E3331) and (CSEE W3827)

Practical aspects of computer hardware design through the implementation, simulation, and prototyping of a PDP-8 processor. High-level and assembly languages, I/O, interrupts, datapath and control design, pipelining, busses, memory architecture. Programmable logic and hardware prototyping with FPGAs. Fundamentals of VHDL for register-transfer level design. Testing and validation of hardware. Hands-on use of industry CAD tools for simulation and synthesis. Lab required.

EECS E4750 Heterogeneous computing for signal and data processing. 3 points.

Lect: 2. Lab: 3.

Prerequisites: (ELEN E3801) and (COMS W3134) or similar courses recommended.

Methods for deploying signal and data processing algorithms on contemporary general purpose graphics processing units (GPGPUs) and heterogeneous computing infrastructures. Using programming languages such as OpenCL and CUDA for computational speedup in audio, image and video processing and computational data analysis. Significant design project.

Fall 2017: EECS E4750
Course Number Section/Call Number Times/Location Instructor Points Enrollment
EECS 4750 001/20031 Th 1:10pm - 3:40pm
1127 Seeley W. Mudd Building
Zoran Kostic 3 19/80

EECS E4764 Internet of things - intelligent and connected systems. 3 points.

Prerequisites: Knowledge of programming or instructor's permission. Suggested preparation: ELEN E4703, CSEE W4119, CSEE W4840, or related courses.

Cyber-physical systems and Internet-of-Things. Various sensors and actuators, communication with devices through serial protocols and buses, embedded hardware, wired and wireless networks, embedded platforms such as Arduino and smartphones, web services on end devices and in the cloud, visualization and analytics on sensor data, end-to-end IoT applications. Group projects to create working CPS/IoT system.

Fall 2017: EECS E4764
Course Number Section/Call Number Times/Location Instructor Points Enrollment
EECS 4764 001/19015 M W 2:40pm - 3:55pm
834 Seeley W. Mudd Building
Xiaofan Jiang 3 36/50

EECS E4766 Internet of things - engineering innovations and commercialization. 3 points.

Lec: 3.

Prerequisites: Basic programming and instructor's permission.

Deep dive into a couple of selected topics / use-cases from the area of Internet of Things. Coverage of the topic from device to the cloud, with focus on practical aspects.  Innovative product definition, product development, marketing, commercialization and monetization. Cross-disciplinary coverage: EE, MechE, CS, BioEngineering, marketing, business, design. Building products and startups in the IoT domain. Collaboration between the engineering school, business school, industry experts and engagement in IoT activities in NYC. Collaborative project by groups of students from different disciplines. This course shares lectures with E6766 but the expected project complexity is lower.

EECS E4951 Wireless networks and systems. 3 points.

Lect: 3.

Prerequisites: (CSEE W4119) or instructor's permission.

Various topics in the area of wireless and mobile networks and systems. Functionalities in the layers above the physical layer. The latest wireless networking design challenges, protocols, proposed algorithms, and applications. Includes several hands-on experiments as well as a final project.

EECS E6321 Advanced digital electronic circuits. 4.5 points.

Lect: 3.

Prerequisites: (EECS E4321) EECS E4321.

Advanced topics in the design of digital integrated circuits. Clocked and non-clocked combinational logic styles. Timing circuits: latches and flip-flops, phase-locked loops, delay-locked loops. SRAM and DRAM memory circuits. Modeling and analysis of on-chip interconnect. Power distribution and power-supply noise. Clocking, timing, and synchronization issues. Circuits for chip-to-chip electrical communication. Advanced technology issues that affect circuit design. The class may include a team circuit design project.

EECS E6322 VLSI hardware architecture for signal processing and machine learning. 3 points.

Lect: 3.

Prerequisites: (CSEE W3827) and (ELEN E3801) CSEE W3827 and ELEN E3801. Recommended: ELEN E4810.

Design of digital VLSI hardware for various digital signal processing and machine-learning algorithms. Data flow graphs, iteration bounds, pipelining, parallel architectures, retiming, unfolding/folding, systolic architectures, bit-level arithmetic, numerical and algorithmic strength reductions, CORDIC, distributed arithmetic, FFT, neural network hardware, vector processors, subword-parallel architecture, and SIMD. May include a team circuit design project.

Fall 2017: EECS E6322
Course Number Section/Call Number Times/Location Instructor Points Enrollment
EECS 6322 001/22532 Th 10:10am - 12:40pm
420 Pupin Laboratories
Mingoo Seok 3 16/50

EECS E6690 Topics in data-driven analysis and computation. 3 points.

Lect: 2.Not offered during 2017-18 academic year.

Prerequisites: Instructor's permission.

Selected advanced topics in data-driven analysis and computation. Content varies from year to year, and different topics rotate through the course numbers 6690 to 6699.

Spring 2018: EECS E6690
Course Number Section/Call Number Times/Location Instructor Points Enrollment
EECS 6690 001/77287 T 4:10pm - 6:40pm
1127 Seeley W. Mudd Building
Predrag Jelenkovic 3 49/80

EECS E6720 Bayesian models for machine learning. 3 points.

Lect: 3.

Prerequisites: Basic calculus, linear algebra, probability, and programming. Basic statistics and machine learning strongly recommended.

Bayesian approaches to machine learning. Topics include mixed-membership models, latent factor models, Bayesian nonparametric methods, probit classification, hidden Markov models, Gaussian mixture models, model learning with mean-field variational inference, scalable inference for Big Data. Applications include image processing, topic modeling, collaborative filtering and recommendation systems.

Fall 2017: EECS E6720
Course Number Section/Call Number Times/Location Instructor Points Enrollment
EECS 6720 001/10226 Th 4:10pm - 6:40pm
301 Pupin Laboratories
John Paisley 3 125/200

EECS E6765 Internet of things - systems and physical data analytics. 3 points.

Lect: 3.

Prerequisites: (ELEN E4703) or (CSEE W4119) or related; or instructor's permission; knowledge of programming.

Internet of Things from the point of view of data. Methods for data analytics to understand tradeoffs and partitioning between cloud-based data-analytics and physical-device data-analytics. Two-way interaction between data and physical devices to support a truly ubiquitous, networked and autonomous cyber-physical ecosystem. System-focused design of architectures, algorithms, networks, protocols, communications, power, security and standards. Focus on a significant design project.

Spring 2018: EECS E6765
Course Number Section/Call Number Times/Location Instructor Points Enrollment
EECS 6765 001/67838 W 4:10pm - 6:40pm
Room TBA
Zoran Kostic 3 44/60

EECS E6870 Speech recognition. 3 points.

Lect: 3.

Prerequisites: Basic probability and statistics.

Theory and practice of contemporary automatic speech recognition. Gaussian mixture distributions, hidden Markov models, pronunciation modeling, decision trees, finite-state transducers, and language modeling. Selected advanced topics will be covered in more depth.

EECS E6890 Topics in information processing. 3 points.

Lect.: 2.

Advanced topics spanning Electrical Engineering and Computer Science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899. 

EECS E6891 Topics in information processing. 3 points.

Topic: Reproducing Computational Research.

EECS E6892 Topics in information processing. 3 points.

Topic: Bayesian Models in Machine Learning.

EECS E6893 Topics in information processing. 3 points.

Topic: Big Data Analytics.

Fall 2017: EECS E6893
Course Number Section/Call Number Times/Location Instructor Points Enrollment
EECS 6893 001/14400 Th 7:00pm - 9:30pm
417 International Affairs Bldg
Ching-yung Lin 3 183/250

EECS E6894 Topics in information processing. 3 points.

Topic: Deep Learning for Computer Vision & NLP.

EECS E6895 Topics in information processing. 3 points.

Topic: Advanced Big Data Analytics.

Spring 2018: EECS E6895
Course Number Section/Call Number Times/Location Instructor Points Enrollment
EECS 6895 001/15544 Th 7:00pm - 9:30pm
833 Seeley W. Mudd Building
Ching-yung Lin 3 86/120

EECS E6896 Topics in information processing. 3 points.

Topic: Quantum Computing and Communication.

Fall 2017: EECS E6896
Course Number Section/Call Number Times/Location Instructor Points Enrollment
EECS 6896 001/17656 W 1:10pm - 3:40pm
415 Schapiro Cepser
Alexei Ashikhmin 3 7/50

EECS E6898 Topics in information processing. 3 points.

Topic: From Data to Solutions.

EECS E9601 Seminar in data-driven analysis and computation. 3 points.

Lect.: 2.Not offered during 2017-18 academic year.

Prerequisites: Open to doctoral candidates, and qualified M.S. candidates with the instructor's permission.

Advanced topics and recent developments in mathematical techniques and computational tools for data science and engineering problems. 

EECS W4340 Computer hardware design. 3 points.

Lect: 2. Lab: 3.

Prerequisites: (ELEN E3331) and (CSEE W3827)

Practical aspects of computer hardware design through the implementation, simulation, and prototyping of a PDP-8 processor. High-level and assembly languages, I/O, interrupts, datapath and control design, piplelining, busses, memory architecture. Programmable logic and hardware prototyping with FPGAs. Fundamentals of VHDL for register-transfer level design. Testing and validation of hardware. Hands-on use of industry CAD tools for simulation and synthesis.

EEHS E3900 History of telecommunications: from the telegraph to the internet. 3 points.

Lect: 3.Not offered during 2017-18 academic year.

Historical development of telecommunications from the telegraphy of the mid-1800s to the Internet at present.  Included are the technologies of telephony, radio, and computer communications.  The coverage includes both the technologies themselves and the historical events that shaped, and in turn were shaped by the technologies.  The historical development, both the general context and the particular events concerning communications, is presented chronologically.  The social needs that elicited new technologies and the consequences of their adoption are examined.  Throughout the course, relevant scientific and engineering principles are explained as needed.  These include, among others the concept and effective use of spectrum, multiplexing to improve capacity, digital coding and networking principles.  There are no prerequistes, and no prior scientific or engineering knowledge is required.  Engineering students may not count this course as a technical elective.

EEME E3601 Classical control systems. 3 points.

Lect: 3.

Prerequisites: (MATH UN2030) MATH V2030.

Analysis and design of feedback control systems. Transfer functions; block diagrams; proportional, rate, and integral controllers; hardware, implementation. Routh stability criterion, root locus, Bode and Nyquist plots, compensation techniques.

Fall 2017: EEME E3601
Course Number Section/Call Number Times/Location Instructor Points Enrollment
EEME 3601 001/73356 M W 11:40am - 12:55pm
703 Hamilton Hall
Richard Longman 3 56/90

EEME E4601 Digital control systems. 3 points.

Lect: 3.

Prerequisites: (EEME E3601) or (ELEN E3201)

Real-time control using digital computers. Solving scalar and state-space difference equations. Discrete equivalents of continuous systems fed by holds. Z-transer functions. Creating closed-loop difference equation models by Z-transform and state variable approaches. The Nyquist frequency and sample rate selection. Classical and modern based digital control laws. Digital system identification.

Spring 2018: EEME E4601
Course Number Section/Call Number Times/Location Instructor Points Enrollment
EEME 4601 001/28415 M 4:10pm - 6:40pm
1127 Seeley W. Mudd Building
Richard Longman 3 35/50

EEME E6601 Introduction to control theory. 3 points.

Lect: 3.

Prerequisites: (MATH UN2030)

A graduate-level introduction to classical and modern feedback control that does not presume an undergraduate background in control. Scalar and matrix differential equation models and solutions in terms of state transition matrices. Transfer functions and transfer function matrices, block diagram manipulations, closed loop response. Proportional, rate, and integral controllers, and compensators. Design by root locus and frequency response. Controllability and observability. Luenberger observers, pole placement, and linear-quadratic cost controllers.

Fall 2017: EEME E6601
Course Number Section/Call Number Times/Location Instructor Points Enrollment
EEME 6601 001/15439 W 7:00pm - 9:30pm
329 Pupin Laboratories
Richard Longman 3 62/110

EEME E6602 Modern control theory. 3 points.

Lect: 3.Not offered during 2017-18 academic year.

Prerequisites: (EEME E6601) or (EEME E4601) or (ELEN E6201) or or the instructor's permission.

Singular value decomposition. ARX model and state space model system identification. Recursive least squares filters and Kalman filters. LQR, H∞, linear robust control, predictive control, adaptive control. Liapunov and Popov stability. Nonlinear adaptive control, nonlinear robust control, sliding mode control.

EEME E6610 Optimal control theory. 3 points.

Lect: 3.Not offered during 2017-18 academic year.

Prerequisites: (EEME E6601) or (EEME E4601) or instructor's permission.

Covers topics in calculus of variations, Pontryagin maximum principle, quadratic cost optimal control, predictive control, dynamic programming for optimal control, Kalman filtering, numerical methods for solution. Some applications discussed include: minimum energy subway operation (our solution saved 11% in tests on the Flushing Line, and the method was adopted by the transit authority, saving many millions of dollars per year), minimum time robot optimal control allowing one to run assembly lines faster for increased productivity.

EEME E8601 Advanced topics in control theory. 3 points.

Lect: 3.Not offered during 2017-18 academic year.

Prerequisites: (EEME E6601) and (EEME E4601) or instructor's permission.

This course may be taken more than once, since the content changes from year to year, electing different topics from control theory such as learning and repetitive control, adaptive control, system identification, Kalman filtering, etc.

EEOR E4650 Convex optimization for electrical engineering. 3 points.

Lect: 3.

Prerequisites: (ELEN E3801) or instructor permission.

Theory of convex optimization; numerical algorithms; applications in circuits, communications, control, signal processing and power systems.

EEOR E6616 Convex optimization. 3 points.

Lect: 2.5.

Prerequisites: (IEOR E6613) and (EEOR E4650)

Convex sets and functions, and operations preserving convexity. Convex optimization problems. Convex duality. Applications of convex optimization problems ranging from signal processing and information theory to revenue management. Convex optimization in Banach spaces.  Algorithms for solving constrained convex optimization problems.

Spring 2018: EEOR E6616
Course Number Section/Call Number Times/Location Instructor Points Enrollment
EEOR 6616 001/15043 M W 11:40am - 12:55pm
825 Seeley W. Mudd Building
3 39/40