Syllabus for |
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| MVE060 - Statistics and data analysis |
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| Owner: BIMAS |
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5,0 Credits (ECTS 7,5) |
| Grading: TH - Five, Four, Three, Not passed |
| Level: A |
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Department: 11 - MATHEMATICAL SCIENCES
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Teaching language: English
| Course module |
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Credit distribution |
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Examination dates |
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Sp1 |
Sp2 |
Sp3 |
Sp4 |
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No Sp |
| 0105 |
Examination |
5,0 c |
Grading: TH |
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5,0 c
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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.