Difference between revisions of "Week 0"
From Research management course
Line 10: | Line 10: | ||
# Calculus and Mathematical Analysis | # Calculus and Mathematical Analysis | ||
# Algebra, Group theory | # Algebra, Group theory | ||
− | # General Physics | + | # General Physics is highly welcome! |
# Probability and Statistics | # Probability and Statistics | ||
# Functional analysis is welcome | # Functional analysis is welcome |
Revision as of 19:54, 21 February 2021
This course produces student research papers. It gathers research teams in a society. Each team combines a student, a consultant and an expert. The student is a project driver, who wants to plunge into scientific research activities. The consultant, a graduated student, conducts the research and helps the student. The expert, a professor, states the problem and enlightens the road to the goal.
Resources
- Introduction for students
- Introduction for colleagues
- Introduction [1] for the committee]
Student prerequisites
- Discrete Analysis and Set Theory
- Calculus and Mathematical Analysis
- Algebra, Group theory
- General Physics is highly welcome!
- Probability and Statistics
- Functional analysis is welcome
References to catch-up
- Graph Theory by Reinhard Diestel, 2017
- Lectures on Discrete Geometry by Jiří Matoušek, 2002
- Thomas’ Calculus, based on the original work by George B. Thomas, Jr, 2010
- Mathematics for Physicists: Introductory Concepts and Methods by Alexander Altland and Jan von Delft, 2014
- Mathematical Methods for Physicists by Danilo Babusci, Giuseppe Dattoli, Silvia Licciardi and Elio Sabia, 2020
- A First Course in Probability by Sheldon Ross, 2019
- Probability Theory by Alexandr A. Borovkov, 2009
- Elements of Information Theory by Thomas M. Cover and Joy A. Thomas, 2006