EE 15N: The Art and Science of Engineering Design
The goal of this seminar is to introduce freshmen to the design process associated with an engineering project. The seminar will consist of a series of lectures. The first part of each lecture will focus on the different design aspects of an engineering project, including formation of the design team, developing a project statement, generating design ideas and specifications, finalizing the design, and reporting the outcome. Students will form teams to follow these procedures in designing a term project of their choice over the quarter. The second part of each lecture will consist of outside speakers, including founders of some of the most exciting companies in Silicon Valley, who will share their experiences about engineering design. On-site visits to Silicon Valley companies to showcase their design processes will also be part of the course. The seminar serves three purposes: (1) it introduces students to the design process of turning an idea into a final design, (2) it presents the different functions that people play in a project, and (3) it gives students a chance to consider what role in a project would be best suited to their interests and skills.
Terms: Win
| Units: 3
| UG Reqs: GER:DB-EngrAppSci
Instructors:
Goldsmith, A. (PI)
;
Le, M. (PI)
EE 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
Instructors:
Wong, H. (PI)
EE 42: Introduction to Electromagnetics and Its Applications
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
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
Instructors:
Lee, T. (PI)
;
Xu, Y. (PI)
;
Chen, C. (TA)
;
Greene, B. (TA)
;
Mahdian, S. (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
Instructors:
Dwork, N. (PI)
;
Pauly, J. (PI)
;
Broaddus, P. (TA)
;
Seshadri, A. (TA)
;
Swerdlow, M. (TA)
;
Tebuev, D. (TA)
;
Zaidi, M. (TA)
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. Undergraduates must enroll for 4 units. *In Autumn, enrollment preference is given to EE majors. Formerly
EE 108A.
Terms: Aut, Win
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
Instructors:
Mitra, S. (PI)
;
Prabala, R. (PI)
;
Bertrand, A. (TA)
...
more instructors for EE 108 »
Instructors:
Mitra, S. (PI)
;
Prabala, R. (PI)
;
Bertrand, A. (TA)
;
Duncan, B. (TA)
;
Li, W. (TA)
;
Prabala, R. (TA)
;
Wang, V. (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
Instructors:
Gumerlock, K. (PI)
;
Kenny, T. (PI)
;
Haksar, R. (TA)
...
more instructors for EE 118 »
Instructors:
Gumerlock, K. (PI)
;
Kenny, T. (PI)
;
Haksar, R. (TA)
;
Ham, J. (TA)
;
Handa, K. (TA)
;
Kushan, I. (TA)
;
Lin, A. (TA)
;
Wegrzynski, M. (TA)
;
Winterkorn, M. (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
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
EE 134: Introduction to Photonics
Photonics, optical components, and fiber optics. Conceptual and mathematical tools for design and analysis of optical communication, sensor and imaging systems. Experimental characterization of semiconductor lasers, optical fibers, photodetectors, receiver circuitry, fiber optic links, optical amplifiers, and optical sensors. Class project on confocal microscopy or other method of sensing or analyzing biometric data. Laboratory experiments. Prerequisite:
EE 102A and one of the following:
EE 42,
Physics 43, or
Physics 63.
Terms: Win
| Units: 4
| UG Reqs: GER:DB-EngrAppSci
Instructors:
Hesselink, L. (PI)
;
Zaman, M. (TA)
Filter Results: