Computational Methods in Materials Science (NANO*3600)
Code and section: NANO*3600*01
Term: Winter 2021
Instructor: Alex Gezerlis
Tuesday, Thursday 9 am – 9:50 am
Thursday 2:30 pm – 4:20 pm
- A. Gezerlis, Numerical Methods in Physics with Python (Cambridge University Press, 2020) The book is freely available to U of G students
- See also the companion website: https://numphyspy.org
- Mark Newman, Computational Physics (Rev. ed., CreateSpace, 2013)
- Morten Hjorth-Jensen, Computational physics online lecture notes
Online resources on Python
This is a first course on what is known as computational science or scientific computing. We will focus on the interplay between science problem, mathematical formulation, and computational implementation. Previous exposure to programming is not required but will certainly be beneficial. We will cover the essentials of the following subjects:
- Idiomatic Python
- Precision and errors
- Linear algebra
- Interpolation and fitting
- Differential equations
30% Take-home final exam
- I will be showing up (virtually) for pre-lecture discussion at 8:30 am once a week
- Alternative arrangements can be made via email
Course policy regarding grading
Each homework assignment should be handed in on the due date before the lecture begins. There will be a significant penalty for late assignments, unless special arrangements are made ahead of time.
Course policy regarding use of electronic devices and recording of lectures
Electronic recording of classes is expressly forbidden without consent of the instructor. When recordings are permitted they are solely for the use of the authorized student and may not be reproduced, or transmitted to others, without the express written consent of the instructor.
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Course Evaluation Information
Please refer to the Course and Instructor Evaluation Website