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Syllabus for

Academic year
MVE060 - Statistics and data analysis
 
Owner: BIMAS
5,0 Credits (ECTS 7,5)
Grading: TH - Five, Four, Three, Not passed
Level: A
Department: 11 - MATHEMATICAL SCIENCES


Teaching language: English

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 No Sp
0105 Examination 5,0 c Grading: TH   5,0 c   16 Dec 2006 am V,  10 Apr 2007 am V,  25 Aug 2007 am V

In programs

TKBIA BIOENGINEERING, Year 4 (elective)
TITEA SOFTWARE ENGINEERING, Year 4 (elective)
BIMAS MSc PROGRAMME IN BIOINFORMATICS, Year 1 (compulsory)

Examiner:



Replaces

TMS091   Hidden Markov models TMS101   Basics in mathematical statistics and computer science


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

Calculus, and an introductory course in statistics.

Aim

This course is intended as a second course in statistics, where
students should develop a deepened understanding of conditional probability,
principles of statistical modeling, and acquire skills in data
analysis. Theoretical definitions and derivations are considered to
some extent, but the emphasis of the course is on applications. A
substantial part of the course is devoted to the statistical software R.

Goal

At the end of this course, students should:
-be able to perform statistical hypothesis tests, parameter
estimation, regression analysis and to apply other common methods,
-have acquired skills in using a statistical software such as R/Splus,
-understand multiple testing problems,
-have insights into the Bayesian approach and resampling techniques.

Content

Homepage: http://www.math.chalmers.se/Stat/Grundutb/Chalmers/MVE060/

Organisation

Lectures, exercises, and computer labs.

Literature

To be confirmed.

Examination

Computer labs and written exam.


Page manager Published: Thu 03 Nov 2022.