EE 195: Electrical Engineering Instruction
Students receive training from faculty or graduate student mentors to prepare them to assist in instruction of Electrical Engineering courses. The specific training and units of credit received are to be defined in consultation with one of the official instructors of
EE 195. Note that University regulations prohibit students from being paid for the training while receiving academic credit for it. Enrollment limited.
Terms: Aut, Win, Spr

Units: 13

Grading: Satisfactory/No Credit
Instructors:
Dutton, R. (PI)
;
Tobagi, F. (PI)
EE 205: Product Management for Electrical Engineers and Computer Scientists
Successful products are the highest impact contribution anyone can make in product development. Students will learn to build successful products using fundamental concepts in Product Management. These include understanding customers, their job to be done, Identifying new product opportunities, and defining what to build that is technically feasible, valuable to the customer, and easy to use The course has two components, Product Management Project with corporate partners, and casebased classroom discussion of PM concepts and application. Prerequisite: Students must be currently enrolled in a MS or PhD engineering degree program.
Terms: Aut

Units: 3

Grading: Letter (ABCD/NP)
Instructors:
Gibbons, F. (PI)
EE 212: Integrated Circuit Fabrication Processes
For students interested in the physical bases and practical methods of silicon VLSI chip fabrication, or the impact of technology on device and circuit design, or intending to pursue doctoral research involving the use of Stanford's Nanofabrication laboratory. Process simulators illustrate concepts. Topics: principles of integrated circuit fabrication processes, physical and chemical models for crystal growth, oxidation, ion implantation, etching, deposition, lithography, and backend processing. Required for 410.
Terms: Aut

Units: 3

Grading: Letter or Credit/No Credit
Instructors:
Plummer, J. (PI)
EE 214A: Fundamentals of Analog Integrated Circuit Design (EE 114)
Analysis and simulation of elementary transistor stages, current mirrors, supply and temperatureindependent bias, and reference circuits. Overview of integrated circuit technologies, circuit components, component variations and practical design paradigms. Differential circuits, frequency response, and feedback will also be covered. Performance evaluation using computeraided design tools. Undergraduates must take
EE 114 for 4 units. Prerequisite: 101B. GER:DBEngrAppSci
Terms: Aut

Units: 34

Grading: Letter (ABCD/NP)
Instructors:
Arbabian, A. (PI)
;
Rekhi, A. (TA)
EE 216: Principles and Models of Semiconductor Devices
Carrier generation, transport, recombination, and storage in semiconductors. Physical principles of operation of the pn junction, heterojunction, metal semiconductor contact, bipolar junction transistor, MOS capacitor, MOS and junction fieldeffect transistors, and related optoelectronic devices such as CCDs, solar cells, LEDs, and detectors. Firstorder device models that reflect physical principles and are useful for integratedcircuit analysis and design. Prerequisite: 116 or equivalent.
Terms: Aut, Sum

Units: 3

Grading: Letter or Credit/No Credit
Instructors:
Pop, E. (PI)
EE 222: Applied Quantum Mechanics I (MATSCI 201)
Emphasis is on applications in modern devices and systems. Topics include: Schrödinger's equation, eigenfunctions and eigenvalues, solutions of simple problems including quantum wells and tunneling, quantum harmonic oscillator, coherent states, operator approach to quantum mechanics, Dirac notation, angular momentum, hydrogen atom, calculation techniques including matrix diagonalization, perturbation theory, variational method, and timedependent perturbation theory with applications to optical absorption, nonlinear optical coefficients, and Fermi's golden rule. Prerequisites:
MATH 52 and 53,
EE 65 or
PHYSICS 65 (or
PHYSICS 43 and 45).
Terms: Aut

Units: 3

Grading: Letter or Credit/No Credit
Instructors:
Miller, D. (PI)
EE 236A: Modern Optics
Geometrical optics; lens analysis and design, aberrations, optical instruments, radiometry. ray matrices. Wave nature of light; polarization, plane waves at interfaces and in media with varying refractive index, diffraction, Fourier Optics, Gaussian beams. Interference; singlebeam interferometers (FabryPerot), multiplebeam interferometers (Michelson, MachZehnder). nPrerequisites:
EE 142 or familiarity with electromagnetism and plane waves.
Terms: Aut

Units: 3

Grading: Letter (ABCD/NP)
Instructors:
Zaman, M. (PI)
EE 242: Electromagnetic Waves
This course will provide an advanced treatment of electromagnetic waves in free space and media. The first part of the course will cover reflection, refraction, resonators, and waveguides. The second part will cover general concepts in finitedifference timedomain (FDTD) computation, and students will be introduced to commercial FDTD software. The third part will cover potentials, Green's functions, farfield radiation, nearfield radiation, and antennas. The fourth part will focus on an analysis of EM waves in matter. In lieu of a final exam, students will perform a quantitative group project based on a technical paper or research idea. This course will serve as a foundation for other specialized 200 and 300level optics courses. Prerequisites:
EE 142 or
PHYSICS 120.
Terms: Aut

Units: 3

Grading: Letter (ABCD/NP)
Instructors:
Fan, J. (PI)
EE 260A: Principles of Robotic Autonomy I (AA 174A, AA 274A, CS 237A)
Basic principles for endowing mobile autonomous robots with perception, planning, and decisionmaking capabilities. Algorithmic approaches for robot perception, localization, and simultaneous localization and mapping; control of nonlinear systems, learningbased control, and robot motion planning; introduction to methodologies for reasoning under uncertainty, e.g., (partially observable) Markov decision processes. Extensive use of the Robot Operating System (ROS) for demonstrations and handson activities. Prerequisites:
CS 106A or equivalent,
CME 100 or equivalent (for linear algebra), and
CME 106 or equivalent (for probability theory).
Terms: Aut

Units: 34

Grading: Letter (ABCD/NP)
Instructors:
Pavone, M. (PI)
EE 261: The Fourier Transform and Its Applications
The Fourier transform as a tool for solving physical problems. Fourier series, the Fourier transform of continuous and discrete signals and its properties. The Dirac delta, distributions, and generalized transforms. Convolutions and correlations and applications; probability distributions, sampling theory, filters, and analysis of linear systems. The discrete Fourier transform and the FFT algorithm. Multidimensional Fourier transform and use in imaging. Further applications to optics, crystallography. Emphasis is on relating the theoretical principles to solving practical engineering and science problems. Prerequisites: Math through ODEs, basic linear algebra, Comfort with sums and discrete signals, Fourier series at the level of 102A
Terms: Aut, Sum

Units: 3

Grading: Letter or Credit/No Credit
Instructors:
Osgood, B. (PI)
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