PHY-281: Introduction to Computational Physics
Hands-on, project-based course developing computational skills necessary to solve basic physics problems numerically. Tools include UNIX operating system, Internet symbolic programming and visualization with Mathematica or Matlab, and programming with C or Java. Methods include differentiation, integration, root solving and data analysis.
Level:
Undergraduate
Credits:
3
Prerequisites:
Physics 181 or 151 Math 132
Corequisites:
Physics 182 or 152
Semester(s) offered:
Both
Course Schedules
Semester | Sec | Instructor | Times / Rm |
---|---|---|---|
Fall 2021 |
03 |
Guy Blaylock |
TuTh 2:30-4:30 LGRC A210 |
Spring 2021 | Donald Candela |
TuTh 9:15-11:15 remote |
|
Fall 2020 |
01 |
Shubha Tewari |
TuTh 9:15-11:15 remote |
Fall 2020 |
02 |
Peter Schloerb |
WF 12:15-2:15 remote |
Fall 2020 |
03 |
Benny Davidovitch |
TuTh 2:30-4:25 remote |
Spring 2020 | Donald Candela |
TuTh 9:15-11:15 LGRT 1033 |
|
Fall 2019 |
01 |
Shubha Tewari |
TuTh 9:15-11:15 LGRT 1033 |
Fall 2019 |
02 |
Peter Schloerb |
WF 12:15-2:15 LGRC A210 |
Fall 2019 |
03 |
Courtney Lannert |
TuTh 2:30-4:25 LGRC A210 |
Spring 2019 | Donald Candela |
TuTh 9:15-11:15 LGRT 1033 |
Department of Physics