How to get a grade

During the semester, you will receive three grades, one for each versions of your project and one for your presentation. Your final grade will be determined as the average of these three grades. (No further examination will be held in the exam period.) Detailed requirements can be found here.

Schedule for 2025/26 Fall semester

During the semester, both online and in person consultation is available upon request. Do not hesitate to ask if you have any questions!

• 9 Sept, 2025: Introductory session 1 (Tuesday, 12-2pm, Northern Building, Room 3.67 (Békésy))
• 16 Sept, 2025: Introductory session 2 (Tuesday, 12-2pm, Northern Building, Room 3.67 (Békésy))
• 21 Sept, 2025: Deadline for short description (Sunday, 11:59pm, Kooplex)
• 23 Sept, 2025: Introductory session 3 (Tuesday, 12-2pm, Northern Building, Room 3.67 (Békésy))
• 30 Sept, 2025: Introductory session 4 (Tuesday, 12-2pm, Northern Building, Room 3.67 (Békésy))
• 12 Oct, 2025: Deadline for Project v1.0 (Sunday, 11:59pm, Kooplex)
• 9 Nov, 2025: Deadline for Project v2.0 and response letter (Sunday, 11:59pm, Kooplex)
• 18 Nov, 2025: Presentations day 1 (Tuesday, 12-2pm, online on Microsoft Teams)
• 25 Nov, 2025: Presentations day 2 (Tuesday, 12-2pm, online on Microsoft Teams)
• 2 Dec, 2025: Presentations day 3 (Tuesday, 12-2pm, online on Microsoft Teams)
• 9 Dec, 2025: Presentations day 4 (Tuesday, 12-2pm, online on Microsoft Teams)

Textbook

• Rubin H Landau, Manuel J Paez, & Cristian Bordeianu: A Survey of Computational Physics - introductory computational science, Princeton University Press, 2008 (download PDF from Compadre, the author's website or see the annotated local copy)

Department server

• Department server: Kooplex Use this to upload the project reports! You can log in with your Neptun or Caesar (ELTE) account and find the course by Neptun ID.
• Kooplex tutorial

Lecture recordings of 2020

• Recordings of the 2020/2021 semester

Resources

• Contact: szamszimmsc(at)gmail.com Questions, requests, etc. concerning the class
• News and announcements
• Neumann rejection sampling
• Jupyter project
• Sagemath Cloud - free of charge access to linux virtual machines with Jupyter Notebooks
• Python intro - English
• Crash Course in Python for Scientists html version, notebook version (notebooks can be downloaded/uploaded to sagemathcloud, and run)
• A gallery of interesting Jupyter Notebooks

Books and similar courses

• Andi Klein, Alexander Godunov: Introductory Computational Physics, Cambridge University Press; 1 edition (March 20, 2006)
• Eric Ayars: Computational Physics with Python, California State University (2013)
• Franz J. Vesely: Computational Physics. An Introduction, Springer; 2nd edition (September 30, 2001)
• Huff, Kathryn D.; Scopatz, Anthony: Effective computation in physics field guide to research with Python, O'Reilly Media; 1 edition (July 5, 2015)
• Danaila, I., Joly, P., Kaber, S.M., Postel, M: An introduction to scientific computing. Twelve computational projects solved with MATLAB, Springer 2006
• Morten Hjorth-Jensen: Computational Physics, University of Oslo, 2012
• Paul L. DeVries: A first course in computational physics, Jones & Bartlett Learning; 2 edition (March 26, 2010)
• Tao Pang: An Introduction to Computational Physics, Cambridge University Press; 2 edition (February 13, 2006)
• Gould, Tobochnik, Christian: An Introduction to Computer Simulation Methods Addison-Wesley 2006-2016
• Some of the books are available free here.
• Nice set of notebooks and related teaching materials at ASU, Arizona, USA. (navigation buttons at the bottom)