PHYS 398

Fall 2019 All Classes

All Classes
Sophomore/Junior Special Topics in Physics

Credit: 1 TO 4 hours.

Topical offerings of technical interest, skills, and knowledge in physics, and its practice, intended to augment the existing curriculum at the intermediate level.

Approved for Letter and S/U grading. May be repeated in separate terms up to 12 hours if topics vary. Prerequisite: See Class Schedule or departmental course information for topics and prerequisites. For students with sophomore or junior standing.

PHYS 398 class schedule data for fall 2019
CRN Type Section Time Day Location Instructor Section Details
70561
Laboratory
DLP
1:00PM -4:50PM
F
276 Loomis Laboratory
Gollin, G
Part of Term:
1
Date Range:
08/26/19-12/11/19
Credit:
3 hours
Section Info:
DESIGN LIKE A PHYSICIST Becoming the fearless toolsmith: you will address a real-world problem with your physicist’s insight and the tools of electrical and mechanical engineers. There will be IDEs and PCBs and 3-D printers, and a treat bag at the end of the course.
Restriction(s):
Restricted to Engineering Physics or Physics or Teaching of Physics major(s). Restricted to students with Junior or Senior class standing.
72595
Independent Study
ELA
ARRANGED
n.a.
Location Pending
Lundsgaard, M
Engblom, S
Mahmood, M
Part of Term:
1
Date Range:
08/26/19-12/11/19
Special Approval:
Departmental Approval Required
Credit:
1 hours
Section Info:
Students will continue to practice the pedagogy of teaching as Expert Learning Assistants in one weekly introductory physics lab section. Prerequisites: PHYS 398-LA.
71719
Lecture
LA
4:00PM -5:30PM
M
232 Loomis Laboratory
Lundsgaard, M
Part of Term:
1
Date Range:
08/26/19-12/11/19
Special Approval:
Instructor Approval Required
Credit:
2 hours
Section Info:
Students will learn the pedagogy of science teaching in a weekly 90 minute class, and will use this pedagogy to help teach physics skills and concepts to other students as Learning Assistants (LA) in one weekly introductory physics lab section. Prerequisites: A passing grade in the same course in which they want to be an LA, and submitting a successful LA application.
70539
Lecture
MLA
3:00PM -4:50PM
M
222 Loomis Laboratory
Neubauer, M
Part of Term:
1
Date Range:
08/26/19-12/11/19
Credit:
2 hours
Section Info:
DATA ANALYSIS & MACHINE LEARNING APPLICATIONS In this course, you will learn the fundamentals of how to analyze and interpret scientific data and apply modern machine learning tools and techniques to problems such as classification and regression. . Some knowledge of python preferred but not required. Prerequisites: Credit or Concurrent Registration: MATH 285; Credit for PHYS 225 and PHYS 325
Restriction(s):
Restricted to students with Sophomore, Junior, or Senior class standing.
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