## EE 60N: Man versus Nature: Coping with Disasters Using Space Technology (GEOPHYS 60N)

Preference to freshman. Natural hazards, earthquakes, volcanoes, floods, hurricanes, and fires, and how they affect people and society; great disasters such as asteroid impacts that periodically obliterate many species of life. Scientific issues, political and social consequences, costs of disaster mitigation, and how scientific knowledge affects policy. How spaceborne imaging technology makes it possible to respond quickly and mitigate consequences; how it is applied to natural disasters; and remote sensing data manipulation and analysis. GER:DB-EngrAppSci

Last offered: Autumn 2018
| UG Reqs: GER:DB-EngrAppSci, WAY-SMA

## EE 65: Modern Physics for Engineers

This course introduces the core ideas of modern physics that enable applications ranging from solar energy and efficient lighting to the modern electronic and optical devices and nanotechnologies that sense, process, store, communicate and display all our information. Though the ideas have broad impact, the course is widely accessible to engineering and science students with only basic linear algebra and calculus through simple ordinary differential equations as mathematics background. Topics include the quantum mechanics of electrons and photons (Schrödinger's equation, atoms, electrons, energy levels and energy bands; absorption and emission of photons; quantum confinement in nanostructures), the statistical mechanics of particles (entropy, the Boltzmann factor, thermal distributions), the thermodynamics of light (thermal radiation, limits to light concentration, spontaneous and stimulated emission), and the physics of information (Maxwell¿s demon, reversibility, entropy and noise in physics and information theory). Pre-requisite:
Physics 41. Pre- or co-requisite:
Math 53 or
CME 102.

Terms: Spr
| Units: 4
| UG Reqs: GER: DB-NatSci, GER:DB-EngrAppSci, WAY-SMA

Instructors:
Miller, D. (PI)

## 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 strongly recommended.

Terms: Win, Sum
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-SMA

## EE 101B: Circuits II

Continuation of
EE101A. Introduction to circuit design for modern electronic systems. Modeling and analysis of analog gain stages, frequency response, feedback. Filtering and analog to digital conversion. Fundamentals of circuit simulation. Prerequisites:
EE101A,
EE102A. Recommended:
CME102.

Terms: Spr
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-SMA

Instructors:
Wong, S. (PI)

## 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: WAY-AQR, GER:DB-EngrAppSci, WAY-SMA, WAY-AQR, GER:DB-EngrAppSci, WAY-SMA

Instructors:
Mitra, S. (PI)

## EE 114: Fundamentals of Analog Integrated Circuit Design (EE 214A)

Analysis and simulation of elementary transistor stages, current mirrors, supply- and temperature-independent 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 computer-aided design tools. Undergraduates must take
EE 114 for 4 units. Prerequisite: 101B. GER:DB-EngrAppSci

Terms: Aut
| Units: 3-4
| UG Reqs: GER:DB-EngrAppSci, WAY-SMA, WAY-AQR, GER:DB-EngrAppSci, WAY-SMA, WAY-AQR

Instructors:
Arbabian, A. (PI)

## EE 116: Semiconductor Devices for Energy and Electronics

The underpinnings of modern technology are the transistor (circuits), the capacitor (memory), and the solar cell (energy).
EE 116 introduces the physics of their operation, their historical origins (including Nobel prize breakthroughs), and how they can be optimized for future applications. The class covers physical principles of semiconductors, including silicon and new material discoveries, quantum effects, band theory, operating principles, and device equations. Recommended (but not required) co-requisite:
EE 65 or equivalent.

Terms: Aut
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-SMA, WAY-FR

Instructors:
Chowdhury, S. (PI)

## 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

Instructors:
Shenoy, K. (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:
EE 102A and one of the following:
EE 42,
Physics 43, or
Physics 63.

Terms: Aut
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-SMA, WAY-AQR

Instructors:
Congreve, D. (PI)

## EE 142: Engineering Electromagnetics

Introduction to electromagnetism and Maxwell's equations in static and dynamic regimes. Electrostatics and magnetostatics: Gauss's, Coulomb's, Faraday's, Ampere's, Biot-Savart's laws. Electric and magnetic potentials. Boundary conditions. Electric and magnetic field energy. Electrodynamics: Wave equation; Electromagnetic waves; Phasor form of Maxwell's equations.nSolution of the wave equation in 1D free space: Wavelength, wave-vector, forward and backward propagating plane waves.Poynting's theorem. Propagation in lossy media, skin depth. Reflection and refraction at planar boundaries, total internal reflection. Solutions of wave equation for various 1D-3D problems: Electromagnetic resonators, waveguides periodic media, transmission lines. Formerly
EE 141. Prerequisites: an introductory course in electromagnetics (PHYS 43, PHYS 65, or
EE 42) and a solid background in vector calculus (
CME 100,
CME 102, or
MATH 52, with
MATH 52 being an ideal prerequisite)

Terms: Spr
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-FR, WAY-SMA

Instructors:
Fan, J. (PI)

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