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Syllabus for

Academic year
TMS150 - Stochastic data processing and simulation
 
Syllabus adopted 2013-02-21 by Head of Programme (or corresponding)
Owner: MPENM
7,5 Credits
Grading: TH - Five, Four, Three, Not passed
Education cycle: Second-cycle
Major subject: Mathematics
Department: 11 - MATHEMATICAL SCIENCES


Teaching language: English
Open for exchange students
Block schedule: X

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0103 Project 7,5c Grading: TH   7,5c    

In programs

MPENM ENGINEERING MATHEMATICS AND COMPUTATIONAL SCIENCE, MSC PROGR, Year 1 (elective)
TKTEM ENGINEERING MATHEMATICS, Year 3 (compulsory)

Examiner:

Docent  Patrik Albin


Course evaluation:

http://document.chalmers.se/doc/822acd14-b44b-40ec-a1f7-aa4d369455b8


  Go to Course Homepage

Eligibility:

For single subject courses within Chalmers programmes the same eligibility requirements apply, as to the programme(s) that the course is part of.

Course specific prerequisites

A basic course in mathematical statistics. Some programming experience is recommended - contact the examiner if in doubt about this.

Aim

The goal is to introduce the student to some important mathemati-
cal software packages and problem solving skills with computer,
and making the computer a natural problem solving tool, via work
on concrete mathematical and mathematical statistical and problems

Learning outcomes (after completion of the course the student should be able to)

- use these software packages as natural tools in later courses
- have developed problem solving skills
- move between analytical and numerical problem solving methods with use of computer
- write mathematical reports using LaTex.

Content

The core of the course are six projects in different areas of mathematics and mathematical statistics and their applications, including finance, bioinformatics, and bootstrap. Each project contains a number of problems to be solved, mainly using the software packages Matlab, Mathematica, R and C. The projects are presented at lectures and the software packages are introduced during teacher led laborations. It depends on the problem at hand what software package is the best suited to deal with it. However, all four packages can be used to deal with two or more of the projects. TIn particular it will be possible for students with a special interest in the statistical package R to make extensive use of that package. he project reports in LaTeX should be handed in shortly after the end of the course, at latest.

Organisation

Lectures that introduce the projects. Demonstations of computer programs. Supervising of projects.

Literature

Mainly different handouts. See the course homepage before course start.

Examination

Written reports of the results of the work with the projetcs. The grading is based on how the problems in the projects are solved and reported.


Published: Mon 28 Nov 2016.