Skip to content

Latest commit

 

History

History
31 lines (22 loc) · 1.44 KB

README.md

File metadata and controls

31 lines (22 loc) · 1.44 KB

Introduction to Scientific Computation Course

This repo follows Fall2020 track for ETHZ and UZH students.

Lecture and seminar materials for each week are in ./week* folders.

General info

  • Telegram chat room.
  • Any technical issues, ideas, bugs in course materials, contribution ideas - add an issue
  • Grading, lateness penalties and other formalities - see this page

Syllabus

  • week00 (29.09.2021) Introduction, Rules, Git
    • Lecture: Code execution lifecycle, compilation vs interpretation, Python, Environments, Git
    • Seminar: Git + python (deadline in 10 days)

Contributors & course staff

Course materials and teaching performed by (in random order)

The course is heavily based on the lectures and seminars attended by Mikhail Usvyatsov at different time. Materials is a compilation of resources for courses of:

  • Ivan Oseledets, Numerical Linear Algebra
  • Eugene Zuev, Compilers Construction
  • David Vernon, Algorithms and Data Structures
  • Ivan Tsibulin, Numerical methods
  • Oleg Ponomarev, Introduction to Python
  • Konstantin Vorontsov, Mathematic methods of learning by precedents