EE 17N: Engineering the Micro and Nano Worlds: From Chips to Genes
Preference to freshmen. The first part is hands-on micro- and nano-fabrication including the Stanford Nanofabrication Facility (SNF) and the Stanford Nanocharacterization Laboratory (SNL) and field trips to local companies and other research centers to illustrate the many applications; these include semiconductor integrated circuits ('chips'), DNA microarrays, microfluidic bio-sensors and microelectromechanical systems (MEMS). The second part is to create, design, propose and execute a project. Most of the grade will be based on the project. By the end of the course you will, of course, be able to read critically a New York Times article on nanotechnology. More importantly you will have experienced the challenge (and fun) of designing, carrying out and presenting your own experimental project. As a result you will be better equipped to choose your major. This course can complement (and differs from) the seminars offered by Profs Philip Wong and Hari Manoharan in that it emphasizes laboratory work and an experimental student-designed project. Prerequisites: high-school physics.
Terms: Spr
| Units: 3
| UG Reqs: GER:DB-EngrAppSci
Instructors:
Pease, R. (PI)
;
Provine, J. (PI)
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: Spr
| Units: 3
Instructors:
Le, M. (PI)
EE 101B: Circuits II
Second of two-course sequence. MOS large-signal and small-signal models. MOS amplifier design including DC bias, small signal performance, multistage amplifiers, frequency response, and feedback. Prerequisite:
EE101A,
EE102A.
Terms: Spr
| Units: 4
| UG Reqs: WAY-SMA, GER:DB-EngrAppSci
Instructors:
Murmann, B. (PI)
EE 102B: Signal Processing and Linear Systems II
Continuation of
EE 102A. Concepts and tools for continuous- and discrete-time signal and system analysis with applications in communications, signal processing and control. Analog and digital modulation and demodulation. Sampling, reconstruction, decimation and interpolation. Finite impulse response filter design. Discrete Fourier transforms, applications in convolution and spectral analysis. Laplace transforms, applications in circuits and feedback control. Z transforms, applications in infinite impulse response filter design. Prerequisite:
EE 102A.
Terms: Spr
| Units: 4
| UG Reqs: WAY-FR, GER:DB-EngrAppSci, WAY-AQR
Instructors:
Kahn, J. (PI)
EE 109: Digital Systems Design Lab
The design of integrated digital systems encompassing both customized software and hardware. Software/hardware design tradeoffs. Algorithm design for pipelining and parallelism. System latency and throughput tradeoffs. FPGA optimization techniques. Integration with external systems and smart devices. Firmware configuration and embedded system considerations. Enrollment limited to 25; preference to graduating seniors. Prerequisites: 108B, and
CS 106B or X.
Terms: Spr
| Units: 4
Instructors:
Olukotun, O. (PI)
EE 116: Semiconductor Device Physics
The fundamental operation of semiconductor devices and overview of applications. The physical principles of semiconductors, both silicon and compound materials; operating principles and device equations for junction devices (diodes, bipolar transistor, photo-detectors). Introduction to quantum effects and band theory of solids. Prerequisite:
ENGR 40. Corequisite: 101B.
Terms: Spr
| Units: 3
| UG Reqs: GER:DB-EngrAppSci
Instructors:
Pop, E. (PI)
EE 122B: Introduction to Biomedical Electronics
Key components of modern systems, their application in physiology measurements, and reduction to practice in labs. Fundamentals of analog/digital conversion and filtering techniques for biosignals, typical transducers (biopotential, electrochemical, temperature, pressure, acoustic, movement), and interfacing circuits. Issues of biomedical electronics (safety, noise). Prerequisite: EE122A or equivalent.
Terms: Spr
| Units: 3
| UG Reqs: WAY-AQR, WAY-SMA
Instructors:
Kovacs, G. (PI)
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: 41 or equivalent.
Terms: Spr
| Units: 4
| UG Reqs: GER:DB-EngrAppSci
Instructors:
Bowden, A. (PI)
EE 136: Introduction to Nanophotonics and Nanostructures
Electromagnetic and quantum mechanical waves and semiconductors. Confining these waves, and devices employing such confinement. Localization of light and applications: metallic mirrors, photonic crystals, optical waveguides, microresonators, plasmonics. Localization of quantum mechanical waves: quantum wells, wires, and dots. Generation of light in semiconductors: spontaneous and stimulated emission, lasers, and light emitting diodes. Devices incorporating localization of both electromagnetic and quantum mechanical waves such as resonant cavity quantum well lasers and microcavity-based single photon sources. System-level applications such as optical communications, biochemical sensing, and quantum cryptography. Prerequisite: basic familiarity with electromagnetic and quantum mechanical waves and semiconductors at the level of
EE 41 or equivalent.
Terms: Spr
| Units: 3
| UG Reqs: GER:DB-EngrAppSci
Instructors:
Vuckovic, J. (PI)
EE 178: Probabilistic Systems Analysis (EE 278A)
Introduction to probability and statistics and their role in modeling and analyzing real world phenomena. Events, sample space, and probability. Discrete random variables, probability mass functions, independence and conditional probability, expectation and conditional expectation. Continuous random variables, probability density functions, independence and expectation, derived densities. Transforms, moments, sums of independent random variables. Simple random processes. Limit theorems. Introduction to statistics: significance, estimation and detection. Prerequisites: basic calculus and linear algebra.
Terms: Aut, Spr
| Units: 3-4
| UG Reqs: GER:DB-EngrAppSci
Instructors:
Montanari, A. (PI)
;
Tse, D. (PI)
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