Course code: PHYS 4100
Title: Computational Methods in Physics
Number of hours, credits: 4 class hours, 4 credits
This course provides a basic understanding of computer modeling in physics. Topics include basics of python programming language; scientific plotting; numerical evaluation of integrals; numerical solution of ordinary and partial differential equations; visual programming; basics of high performance and parallel computing; basics of graphics processing unit programming.
Computational Physics, Mark Newman, 2012. ISBN-13: 978-1480145511.
20% Class Work
40% Midterm Exam
40% Final Project
Students will choose a problem from any area in physics that they can solve using the numerical techniques learned in the course. The problem should be complex enough that solving it requires a significant amount of effort. The code developed should be able to interact with an end user so that they can get a solution to the problem without much effort.
Students will present their software project in a final presentation during the final week of class. The presentation should explain the problem, how it was solved numerically and demonstrate use of the code. Choices about which numerical techniques were used should be clearly explained.
Online class meetings will be held over Zoom. To participate in class you will need a computer running python, a working microphone (built-in or external) connected to your computer and a working camera. You will need to have video on during class as you will be sharing your screen so that everyone can see how your coding is progressing. You will also need a distribution of python and a code editor. How to install these and various options will be discussed in class.
You are encouraged to talk to each other in class and beyond, but your assignments need to be the result of your own work. Identical or very similar assignments are not acceptable. This is valid also for longer assignments and reports. Using online sources as inspiration for assignments is allowed but sources should be cited. Using large chunks of text from outside sources in reports is not allowed and will be considered plagiarism.
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