Computational methods for physics

Last modified by Elina Palmgren on 2024/02/22 10:27

The example study paths have been published also here.

SUGGESTED COURSES:

 

 

ECTS

COMPULSORY COURSES

 

35

 

MSc Thesis

30

 

Seminar

5

OPTIONAL COURSES

 

55-85

THEOR/ MATH PHYSICS

MAST30130 Intro to mathematical physics A

5cr

 

MAST30131 Intro to mathematical physics B

5cr

 

TCM309 Kinetic theory

10 cr

 

TCM320 Stochastic methods A

5 cr

 

TCM320 Stochastic methods B

5 cr

 

TCM333 + TCM334 Open quantum systems

5+5cr

 

FYS2018 Quantum mechanics I

5 cr

MATHEMATICS

MAST31002 Functional Analysis

10 cr

 

MAST31010 Partial differential equations I

10 cr

 

MAST31401 Inverse problems 1

5 cr

COMPUTER SCIENCE

CSM14211 Introduction to the Programming of Quantum Computers

5 cr

 

CSM12101 Design and Analysis of Algorithms

5 cr

 

DATA11002 Introduction to Machine learning 

5 cr

OTHER STUDIES

 

0-30

 

AYCSM90004en Data Analysis with Python

5 cr

 

AYBSCS1001en Introduction to programming

5 cr

 

AYBSCS1002en Advanced Course in Programming

5 cr

 

MATR322 Numerical Methods of Scientific Computing

10 cr

SUGGESTED SCHEDULE:

1. YEAR FALL SEMESTER

MAST30132 Intro to real and Fourier Analysis 

 

TCM304 Mathematical Methods of Physics IIIa 

 

TCM305 Mathematical Methods of Physics IIIb 

 

TCM320 Stochastic methods A 

 

TCM321 Stochastic methods B 

 

FYS2018 Quantum mechanics I  

1. YEAR SPRING SEMESTER

MAST30130 Intro to mathematical physics A 

 

MAST30131 Intro to mathematical physics B 

 

TCM333 + TCM334 Open quantum systems

2. YEAR FALL SEMESTER

TCM309 Kinetic theory. 

 

MAST31401 Inverse problems 1 

 

MAST31002 Functional analysis 

 

MATR322 Numerical Methods of Scientific Computing 

2. YEAR SPRING SEMESTER

 

 

seminar

 

completion of thesis