Coursebooks 2017-2018

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Using Mathematica to analyse and model experimental data

PHYS-625

Lecturer(s) :

Stadelmann Pierre

Language:

English

Frequency

Every year

Remarque

Every year / Next time: Spring 2018

Summary

To learn the basics of symbolic programming using Mathematica / To understand Mathematica expressions and their use / To be able to solve linear and non-linear differentials systems / To present graphically experimental or simulated results

Content

This course is aimed to PhD students who wish to learn the symbolic programming language "Mathematica" in order to model and analyze experimental results. It will give the necessary practice of Mathematica to start using it in real situations. The syntax of Mathematica expressions will be studied in details. The course is based on notebooks that are executed interactively on PC. Many examples and exercises will be fully explained. How to obtain solutions of linear or non-linear algebraic or differential systems will be shown with worked out exercises. The use of the graphical capabilities of Mathematica to present experimental or calculated results will be emphasized.

In the programs

    • Semester
    • Exam form
       Multiple
    • Credits
      2
    • Subject examined
      Using Mathematica to analyse and model experimental data
    • Lecture
      14 Hour(s)
    • Exercises
      14 Hour(s)
    • Semester
    • Exam form
       Multiple
    • Credits
      2
    • Subject examined
      Using Mathematica to analyse and model experimental data
    • Lecture
      14 Hour(s)
    • Exercises
      14 Hour(s)
    • Semester
    • Exam form
       Multiple
    • Credits
      2
    • Subject examined
      Using Mathematica to analyse and model experimental data
    • Lecture
      14 Hour(s)
    • Exercises
      14 Hour(s)

Reference week

 
      Lecture
      Exercise, TP
      Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German