printer friendly pageEE 21N: What is Nanotechnology?
Nanotechnology is an often used word and it means many things to different people. Scientists and Engineers have some notion of what nanotechnology is, societal perception may be entirely different. In this course, we start with the classic paper by Richard Feynman ("There's Plenty of Room at the Bottom"), which laid down the challenge to the nanotechnologists. Then we discuss two classic books that offer a glimpse of what nanotechnology is: Engines of Creation: The Coming Era of Nanotechnology by Eric Drexler, and Prey by Michael Crichton. Drexler's thesis sparked the imagination of what nano machinery might do, whereas Crichton's popular novel channeled the public's attention to this subject by portraying a disastrous scenario of a technology gone astray. We will use the scientific knowledge to analyze the assumptions and predictions of these classic works. We will draw upon the latest research advances to illustrate the possibilities and impossibilities of nanotechnology.
Terms: Win
|
Units: 3
|
UG Reqs: GER:DB-EngrAppSci, WAY-SMA
|
Grading: Letter (ABCD/NP)
Instructors:
Wong, H. (PI)
EE 26N: The Wireless World, and the Data You Leak
The world is increasingly based on wireless communication. Cell phones and WiFi are the most visible examples. Others are key fobs, water meters, gas and electric meters, garage door openers, baby monitors, and the list continues to expand. All of these produce RF signals you can detect and often decode. This seminar will explore how much information you broadcast throughout your day, and how it can easily be received and decoded using inexpensive hardware and public domain software. You will be able to explain why different information services use different frequencies, why they encode the information the way they do, and what security risks they present.
Terms: Win
|
Units: 3
|
Grading: Letter or Credit/No Credit
Instructors:
Pauly, J. (PI)
EE 42: Introduction to Electromagnetics and Its Applications (ENGR 42)
Electricity and magnetism and its essential role in modern electrical engineering devices and systems, such as sensors, displays, DVD players, and optical communication systems. The topics that will be covered include electrostatics, magnetostatics, Maxwell's equations, one-dimensional wave equation, electromagnetic waves, transmission lines, and one-dimensional resonators. Pre-requisites:
MATH 42 or
MATH 51 or
CME 100 or equivalent.
Terms: Win
|
Units: 5
|
UG Reqs: GER:DB-EngrAppSci
|
Grading: Letter (ABCD/NP)
EE 46: Engineering For Good: Save the World and Have Fun Doing It
Projects that provide immediate and positive impact on the world. Focus is on global health by learning from experts in this field. Students work on real-world projects with help from members of NGOs and social entrepreneurial companies as part of the hand-on learning experience. Prerequisite:
ENGR 40 or
EE 122A or
CS 106B or consent of instructor.
Terms: not given this year
|
Units: 3
|
Grading: Letter or Credit/No Credit
EE 101A: Circuits I
Introduction to circuit modeling and analysis. Topics include creating the models of typical components in electronic circuits and simplifying non-linear models for restricted ranges of operation (small signal model); and using network theory to solve linear and non-linear circuits under static and dynamic operations. Prerequisite: ENGR40 or ENGR40M is useful but not strictly required.
Terms: Win, Sum
|
Units: 4
|
UG Reqs: GER:DB-EngrAppSci, WAY-SMA
|
Grading: Letter or Credit/No Credit
Instructors:
Lee, T. (PI)
;
Vassos, C. (PI)
;
Baltsavias, S. (TA)
...
more instructors for EE 101A »
Instructors:
Lee, T. (PI)
;
Vassos, C. (PI)
;
Baltsavias, S. (TA)
;
Chen, C. (TA)
;
Fritz, A. (TA)
;
Greene, B. (TA)
;
Xu, Y. (TA)
EE 102A: Signal Processing and Linear Systems I
Concepts and tools for continuous- and discrete-time signal and system analysis with applications in signal processing, communications, and control. Mathematical representation of signals and systems. Linearity and time invariance. System impulse and step responses. System frequency response. Frequency-domain representations: Fourier series and Fourier transforms. Filtering and signal distortion. Time/frequency sampling and interpolation. Continuous-discrete-time signal conversion and quantization. Discrete-time signal processing. Prerequisite:
MATH 53 or
CME 102.
Terms: Win, Sum
|
Units: 4
|
UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR
|
Grading: Letter or Credit/No Credit
EE 108: Digital System Design
Digital circuit, logic, and system design. Digital representation of information. CMOS logic circuits. Combinational logic design. Logic building blocks, idioms, and structured design. Sequential logic design and timing analysis. Clocks and synchronization. Finite state machines. Microcode control. Digital system design. Control and datapath partitioning. Lab. *In Autumn, enrollment preference is given to EE majors. Any EE majors who must enroll in Autumn are invited to contact the instructor. Formerly
EE 108A.
Terms: Aut, Win
|
Units: 4
|
UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
|
Grading: Letter or Credit/No Credit
Instructors:
Bertrand, A. (PI)
;
Mitra, S. (PI)
;
Bertrand, A. (TA)
...
more instructors for EE 108 »
Instructors:
Bertrand, A. (PI)
;
Mitra, S. (PI)
;
Bertrand, A. (TA)
;
Hale, C. (TA)
;
Majumdar, A. (TA)
;
Morris-Downing, T. (TA)
;
Pleus, A. (TA)
EE 118: Introduction to Mechatronics (ME 210)
Technologies involved in mechatronics (intelligent electro-mechanical systems), and techniques to apply this technology to mecatronic system design. Topics include: electronics (A/D, D/A converters, op-amps, filters, power devices); software program design, event-driven programming; hardware and DC stepper motors, solenoids, and robust sensing. Large, open-ended team project. Prerequisites:
ENGR 40,
CS 106, or equivalents.
Terms: Win
|
Units: 4
|
Grading: Letter (ABCD/NP)
Instructors:
Gumerlock, K. (PI)
;
Kenny, T. (PI)
;
Cabreros, S. (TA)
...
more instructors for EE 118 »
Instructors:
Gumerlock, K. (PI)
;
Kenny, T. (PI)
;
Cabreros, S. (TA)
;
Gomez, G. (TA)
;
Hallawell, B. (TA)
;
Johns, M. (TA)
;
Wu, E. (TA)
;
de Vlaming, I. (TA)
EE 124: Introduction to Neuroelectrical Engineering
Fundamental properties of electrical activity in neurons, technology for measuring and altering neural activity, and operating principles of modern neurological and neural prosthetic medical systems. Topics: action potential generation and propagation, neuro-MEMS and measurement systems, experimental design and statistical data analysis, information encoding and decoding, clinical diagnostic systems, and fully-implantable neural prosthetic systems design. Prerequisite:
EE 101A and
EE 102A.
Terms: Win
|
Units: 3
|
UG Reqs: WAY-SMA
|
Grading: Letter or Credit/No Credit
Instructors:
Shenoy, K. (PI)
;
Staffa, N. (TA)
EE 133: Analog Communications Design Laboratory (EE 233)
Design, testing, and applications. Amplitude modulation (AM) using multiplier circuits. Frequency modulation (FM) based on discrete oscillator and integrated modulator circuits such as voltage-controlled oscillators (VCOs). Phased-lock loop (PLL) techniques, characterization of key parameters, and their applications. Practical aspects of circuit implementations. Labs involve building and characterization of AM and FM modulation/demodulation circuits and subsystems. Enrollment limited to 30 undergraduates and coterminal EE students. Prerequisite:
EE101B. Undergraduate students enroll in EE133 and Graduate students enroll in
EE233. Recommended:
EE114/214A.
Terms: Win
|
Units: 3-4
|
Grading: Letter or Credit/No Credit
Filter Results: