Statistical software tools, fall 2012
Last modified by benner@helsinki_fi on 2024/03/27 10:39
Statistical software tools I and II, fall 2012
Scope
- 5 credits for the beginners course in period I
- 5 credits for the advanced course in period II
Type
Advanced studies
Content scheme
- Beginners course in period I
- R environment
- LaTeX / Beamer
- Octave / Matlab
- eventually JAGS
- Advanced course in period II
- High performance / parallel computing in R with C++
- Efficient programming
- Large data sets
Prerequisites
- The minimal prerequisites for the beginners course include an interest in programming and basic knowledge of statistics.
- The minimal prerequisites for the advanced course include mastering of the R environment, an interest in high performance / parallel computing with R as well as basic knowledge of statistics.
- A laptop would be desirable so that all software can be easily installed.
Lectures
Periods I and II, Monday 12-14 and Wednesday 12-14 in computer class room C128.
Exams
- Beginners course in period I: Mid-course exam and presentation at the end of period I
- Advanced course in period II: Project work
Moodle
Registration
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