APPPHYS 77N: Functional Materials and Devices
Preference to freshmen. Exploration via case studies how functional materials have been developed and incorporated into modern devices. Particular emphasis is on magnetic and dielectric materials and devices. Recommended: high school physics course including electricity and magnetism.
Terms: Aut

Units: 3

UG Reqs: GER:DBEngrAppSci, WAYSMA

Grading: Letter or Credit/No Credit
Instructors:
Suzuki, Y. (PI)
APPPHYS 79N: Energy Options for the 21st Century
Preference to freshmen. Choices for meeting the future energy needs of the U.S. and the world. Basic physics of energy sources, technologies that might be employed, and related public policy issues. Tradeoffs and societal impacts of different energy sources. Policy options for making rational choices for a sustainable world energy economy.
Terms: Aut

Units: 3

UG Reqs: GER:DBEngrAppSci, WAYSMA

Grading: Letter or Credit/No Credit
Instructors:
Fox, J. (PI)
;
Geballe, T. (PI)
APPPHYS 201: Electrons and Photons (PHOTON 201)
Applied Physics Core course appropriate for graduate students and advanced undergraduate students with prior knowledge of elementary quantum mechanics, electricity and magnetism, and special relativity. Interaction of electrons with intense electromagnetic fields from microwaves to x ray, including electron accelerators, xray lasers and synchrotron light sources, attosecond laseratom interactions, and xray matter interactions. Mechanisms of radiation, freeelectron lasing, and advanced techniques for generating ultrashort brilliant pulses. Characterization of electronic properties of advanced materials, prospects for singlemolecule structure determination using xray lasers, and imaging attosecond molecular dynamics.
Terms: Win

Units: 4

Grading: Letter or Credit/No Credit
Instructors:
Huang, Z. (PI)
;
Reis, D. (PI)
APPPHYS 202: Quantum Probability and Quantum Information
Applied Physics Core course appropriate for graduate students and advanced undergraduate students with prior knowledge of elementary quantum mechanics, basic probability, and linear algebra. Quantum probability as a generalization of classical probability theory, with implications for information theory and computer science. Generalized quantum measurement theory, conditional expectation, and quantum noise theory with an emphasis on communications and precision measurements. Classical versus quantum correlations, entanglement and Bell¿s theorem. Introduction to quantum information processing including algorithms, error correction and communication protocols.
Terms: not given this year

Units: 4

Grading: Letter or Credit/No Credit
APPPHYS 203: Atoms, Fields and Photons
Applied Physics Core course appropriate for graduate students and advanced undergraduate students with prior knowledge of elementary quantum mechanics, electricity and magnetism, and ordinary differential equations. Structure of single and multielectron atoms and molecules, and cold collisions. Phenomenology and quantitative modeling of atoms in strong fields, with modern applications. Introduction to quantum optical theory of atomphoton interactions, including quantum trajectory theory, mechanical effects of light on atoms, and fundamentals of laser spectroscopy and coherent control.
Terms: Spr

Units: 4

Grading: Letter or Credit/No Credit
Instructors:
Bucksbaum, P. (PI)
;
Lev, B. (PI)
APPPHYS 204: Quantum Materials
Applied Physics Core course appropriate for graduate students and advanced undergraduate students with prior knowledge of elementary quantum mechanics. Introduction to materials and topics of current interest. Topics include superconductivity, magnetism, charge and spin density waves, frustration, classical and quantum phase transitions, multiferroics, and interfaces. Prerequisite: elementary course in quantum mechanics.
Terms: Win

Units: 4

Grading: Letter or Credit/No Credit
Instructors:
Fisher, I. (PI)
;
Suzuki, Y. (PI)
APPPHYS 205: Introduction to Biophysics (BIO 126, BIO 226)
Core course appropriate for advanced undergraduate students and graduate students with prior knowledge of calculus and a college physics course. Introduction to how physical principles offer insights into modern biology, with regard to the structural, dynamical, and functional organization of biological systems. Topics include the roles of free energy, diffusion, electromotive forces, nonequilibrium dynamics, and information in fundamental biological processes.
Terms: Win

Units: 34

Grading: Letter or Credit/No Credit
Instructors:
Ganguli, S. (PI)
;
Schnitzer, M. (PI)
APPPHYS 207: Laboratory Electronics
Lecture/lab emphasizing analog and digital electronics for lab research. RC and diode circuits. Transistors. Feedback and operational amplifiers. Active filters and circuits. Pulsed circuits, voltage regulators, and power circuits. Precision circuits, lownoise measurement, and noise reduction techniques. Circuit simulation tools. Analog signal processing techniques and modulation/demodulation. Principles of synchronous detection and applications of lockin amplifiers. Common laboratory measurements and techniques illustrated via topical applications. Limited enrollment. Prerequisites: undergraduate device and circuit exposure.
Terms: Win

Units: 4

Grading: Letter (ABCD/NP)
Instructors:
Fox, J. (PI)
APPPHYS 208: Laboratory Electronics
Lecture/lab emphasizing analog and digital electronics for lab research. Continuation of
APPPHYS 207 with emphasis on applications of digital techniques. Combinatorial and synchronous digital circuits. Design using programmable logic. Analog/digital conversion. Microprocessors and real time programming, concepts and methods of digital signal processing techniques. Current lab interface protocols. Techniques commonly used for lab measurements. Development of student lab projects during the last three weeks. Limited enrollment. Prerequisites: undergraduate device and circuit exposure. Recommended: previous enrollment in
APPPHYS 207.
Terms: Spr, alternate years, not given next year

Units: 4

Grading: Letter (ABCD/NP)
Instructors:
Fox, J. (PI)
APPPHYS 215: Numerical Methods for Physicists and Engineers
Fundamentals of numerical methods applied to physical systems. Derivatives and integrals; interpolation; quadrature; FFT; singular value decomposition; optimization; linear and nonlinear least squares fitting; error estimation; deterministic and stochastic differential equations; Monte Carlo methods. Lectures will be accompanied by guided project work enabling each student to make rapid progress on a project of relevance to their interests.
Terms: Spr

Units: 4

Grading: Letter or Credit/No Credit
Instructors:
Moler, K. (PI)
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