PHYS 498

Spring 2020 Part of Term 1

Part of Term 1
Jan 21-May 6

Credit: 1 TO 4 hours.

Subject offerings of new and developing areas of knowledge in physics intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.

1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.

PHYS 498 class schedule data for spring 2020
CRN Type Section Time Day Location Instructor Section Details
67783
Lecture
CMP
10:00AM -11:20AM
MW
Loomis Laboratory
Clark, B
Part of Term:
1
Date Range:
01/21/20-05/06/20
Credit:
3 hours
Section Info:
COMPUTATION in PHYSICS: This is an immersive advanced computational physics course. The course is centered on six computational projects which students will program from scratch and simulate. The course will develop both computing skills as well as physics subject-knowledge in the project areas. Working on these projects will span much of class-time and all of the homework; occasional lecturing will be used to supplement the knowledge necessary to accomplish the projects. The projects include: building a quantum computing simulator, simulating the Ising model through Monte Carlo and RG approaches, machine learning and the brain, evolution, chemistry from physics, and condensed matter (topological insulators and superconductivity).
Restriction(s):
Restricted to students with Junior or Senior class standing.
70438
Laboratory-Discussion
EBP
1:00PM -4:50PM
TR
Loomis Laboratory
Kuehn, S
Selvin, P
Part of Term:
1
Date Range:
01/21/20-05/06/20
Credit:
4 hours
Section Info:
Physics 498 EBP: Experimental Biophysics Students in this advanced laboratory course will participate in module-based experiments that involve cutting-edge methods and questions in biological physics. We will explore techniques such as optical imaging with resolution beyond the diffraction limit and high-throughput DNA sequencing. Through these activities, students will explore the methods that have opened the new field of quantitative biophysics and a predictive understanding of topics such as evolutionary and cellular dynamics.
Restriction(s):
Restricted to students with Senior class standing.
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