Electives

Spring 2021
#21598
ASTRON C161 001 - LEC 001 offered through Astronomy

Relativistic Astrophysics and Cosmology

Adrian T Lee
Jan 19, 2021 - May 07, 2021
Tu, Th
03:30 pm - 04:59 pm
Internet/Online
Class #:21598
Units:4

Instruction Mode: Pending Review

No Open Seats
ASTRON C161 - LEC 001 Relativistic Astrophysics and Cosmology more detail
Elements of general relativity. Physics of pulsars, cosmic rays, black holes. The cosmological distance scale, elementary cosmological models, properties of galaxies and quasars. The mass density and age of the universe. Evidence for dark matter and dark energy and concepts of the early universe and of galaxy formation. Reflections on astrophysics as a probe of the extrema of physics.
2020 Fall
#34597
PHYSICS C191 001 - LEC 001 offered through Physics

Quantum Information Science and Technology

Geoffrey Penington, Nam Nguyen
Aug 26, 2020 - Dec 11, 2020
Tu, Th
11:00 am - 12:29 pm
Internet/Online
Class #:34597
Units:3

Instruction Mode: Remote Instruction

Open Seats

31 Unreserved Seats

PHYSICS C191 - LEC 001 Quantum Information Science and Technology more detail
This multidisciplinary course provides an introduction to fundamental conceptual aspects of quantum mechanics from a computational and informational theoretic perspective, as well as physical implementations and technological applications of quantum information science. Basic sections of quantum algorithms, complexity, and cryptography, will be touched upon, as well as pertinent physical realizations from nanoscale science and engineering.
2020 Fall
#26694
PHYSICS 188 102 - DIS 102 offered through Physics

Bayesian Data Analysis and Machine Learning for Physical Sciences

Biwei Dai
Aug 26, 2020 - Dec 11, 2020
We
01:00 pm - 01:59 pm
Internet/Online
Class #:26694
Units:4

Instruction Mode: Remote Instruction

Open Seats

14 Unreserved Seats

PHYSICS 188 - DIS 102 Bayesian Data Analysis and Machine Learning for Physical Sciences more detail
The course design covers data analysis and machine learning, highlighting their importance to the physical sciences. It covers data analysis with linear and nonlinear regression, logistic regression, and gaussian processes. It covers concepts in machine learning such as unsupervised and supervised regression and classification learning. It develops Bayesian statistics and information theory, covering concepts such as information, entropy, posteriors, MCMC, latent variables, graphical models and hierarchical Bayesian modeling. It covers numerical analysis topics such as integration and ODE, linear algebra, multi-dimensional optimization, and Fourier transforms.
2020 Fall
#26486
PHYSICS 188 101 - DIS 101 offered through Physics

Bayesian Data Analysis and Machine Learning for Physical Sciences

Biwei Dai
Aug 26, 2020 - Dec 11, 2020
We
02:00 pm - 02:59 pm
Internet/Online
Class #:26486
Units:4

Instruction Mode: Remote Instruction

Open Seats

12 Unreserved Seats

PHYSICS 188 - DIS 101 Bayesian Data Analysis and Machine Learning for Physical Sciences more detail
The course design covers data analysis and machine learning, highlighting their importance to the physical sciences. It covers data analysis with linear and nonlinear regression, logistic regression, and gaussian processes. It covers concepts in machine learning such as unsupervised and supervised regression and classification learning. It develops Bayesian statistics and information theory, covering concepts such as information, entropy, posteriors, MCMC, latent variables, graphical models and hierarchical Bayesian modeling. It covers numerical analysis topics such as integration and ODE, linear algebra, multi-dimensional optimization, and Fourier transforms.
2020 Fall
#26276
PHYSICS 188 001 - LEC 001 offered through Physics

Bayesian Data Analysis and Machine Learning for Physical Sciences

Uros Seljak
Aug 26, 2020 - Dec 11, 2020
Tu, Th
09:30 am - 10:59 am
Internet/Online
Class #:26276
Units:4

Instruction Mode: Remote Instruction

Open Seats

26 Unreserved Seats

PHYSICS 188 - LEC 001 Bayesian Data Analysis and Machine Learning for Physical Sciences more detail
The course design covers data analysis and machine learning, highlighting their importance to the physical sciences. It covers data analysis with linear and nonlinear regression, logistic regression, and gaussian processes. It covers concepts in machine learning such as unsupervised and supervised regression and classification learning. It develops Bayesian statistics and information theory, covering concepts such as information, entropy, posteriors, MCMC, latent variables, graphical models and hierarchical Bayesian modeling. It covers numerical analysis topics such as integration and ODE, linear algebra, multi-dimensional optimization, and Fourier transforms.
2020 Fall
#24784
PHYSICS 151 101 - DIS 101 offered through Physics

Elective Physics: Special Topics

Reginald Caginalp
Aug 26, 2020 - Dec 11, 2020
Tu
04:00 pm - 05:00 pm
Internet/Online
Class #:24784
Units:3

Instruction Mode: Remote Instruction

Open Seats

22 Unreserved Seats

PHYSICS 151 - DIS 101 Elective Physics: Special Topics more detail
Topics vary from semester to semester. The subject matter level and scope of the course are such that it is acceptable as the required elective course in the Physics major. See Department of Physics course announcements.
2020 Fall
#24724
PHYSICS 151 001 - LEC 001 offered through Physics

Elective Physics: Special Topics

Quantum Field Theory
Hitoshi Murayama
Aug 26, 2020 - Dec 11, 2020
We, Fr
12:00 pm - 01:29 pm
Internet/Online
Class #:24724
Units:3

Instruction Mode: Remote Instruction

Open Seats

22 Unreserved Seats

PHYSICS 151 - LEC 001 Elective Physics: Special Topics more detail
Prerequisites: 137AB (required), 112, 139 (desired) Quantum Field Theory is foundation for many areas of physics nowadays. It has multi-particle quantum mechanics with quantum statistics built-in, and is mandatory in relativistic systems including photons. It also has many application in atomic physics, condensed matter, nuclear, and astro physics. This course builds on where 137AB left off, introduces quantum field theory, and its applications.
2020 Fall
#23033
PHYSICS 141A 102 - DIS 102 offered through Physics

Solid State Physics

Madeline Elizabeth Dickens
Aug 26, 2020 - Dec 11, 2020
Mo
03:00 pm - 03:59 pm
Internet/Online
Class #:23033
Units:4

Instruction Mode: Remote Instruction

Open Seats

16 Unreserved Seats

PHYSICS 141A - DIS 102 Solid State Physics more detail
Part I. A thorough introductory course in modern solid state physics. Crystal symmetries; classification of solids and their bonding; electromagnetic, elastic, and particle waves in periodic lattices; thermal magnetic and dielectric properties of solids; energy bands of metals and semi-conductors; superconductivity; magnetism; ferroelectricity; magnetic resonances.
2020 Fall
#23017
PHYSICS 141A 101 - DIS 101 offered through Physics

Solid State Physics

Madeline Elizabeth Dickens
Aug 26, 2020 - Dec 11, 2020
Tu
03:00 pm - 03:59 pm
Internet/Online
Class #:23017
Units:4

Instruction Mode: Remote Instruction

Open Seats

23 Unreserved Seats

PHYSICS 141A - DIS 101 Solid State Physics more detail
Part I. A thorough introductory course in modern solid state physics. Crystal symmetries; classification of solids and their bonding; electromagnetic, elastic, and particle waves in periodic lattices; thermal magnetic and dielectric properties of solids; energy bands of metals and semi-conductors; superconductivity; magnetism; ferroelectricity; magnetic resonances.
2020 Fall
#23016
PHYSICS 141A 001 - LEC 001 offered through Physics

Solid State Physics

Joseph W Orenstein
Aug 26, 2020 - Dec 11, 2020
Mo, We, Fr
11:00 am - 11:59 am
Internet/Online
Class #:23016
Units:4

Instruction Mode: Remote Instruction

Open Seats

39 Unreserved Seats

PHYSICS 141A - LEC 001 Solid State Physics more detail
Part I. A thorough introductory course in modern solid state physics. Crystal symmetries; classification of solids and their bonding; electromagnetic, elastic, and particle waves in periodic lattices; thermal magnetic and dielectric properties of solids; energy bands of metals and semi-conductors; superconductivity; magnetism; ferroelectricity; magnetic resonances.
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