Wiki source code of Software tools for statisticians, spring 2010
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1 | = Software tools for statisticians, spring 2010 = | ||
2 | |||
3 | === Lecturer === | ||
4 | |||
5 | [[Petri Koistinen>>doc:mathstatHenkilokunta.Koistinen, Petri]] | ||
6 | |||
7 | === Course news === | ||
8 | |||
9 | * Part I (the R software) has ended. Other students except EuroBayes students will get their 3 cu on week 8. | ||
10 | * There will still be some introductory lectures on the software that is needed for the project work of Part II. | ||
11 | * The EuroBayes students take Parts I and II and they will get their 6 cu after the practical work has been accepted. | ||
12 | |||
13 | === Scope === | ||
14 | |||
15 | 3 cu (Part I only), or 6 cu (Parts I and II). Part II is intended for students in the EuroBayes masters program only. | ||
16 | |||
17 | Grading is either pass or fail. Arvosana-asteikko on hyväksytty/hylätty. | ||
18 | |||
19 | === Type === | ||
20 | |||
21 | Intermediate studies. | ||
22 | |||
23 | === Prerequisites === | ||
24 | |||
25 | Part I of the course (the R software) does not have any formal prerequisites. Some of the examples are, however, hard to follow if you do not have any prior knowledge of nor interest in statistics. | ||
26 | |||
27 | For part II you need to | ||
28 | |||
29 | * understand (elementary) multivariate probability theory | ||
30 | * have some understanding of Bayesian statistics in order to follow the BUGS examples. | ||
31 | |||
32 | === Lectures === | ||
33 | |||
34 | Period III, Monday 10-12, Thursday 10-12, computer class C128. | ||
35 | |||
36 | No lectures on Thu Feb 25. | ||
37 | |||
38 | The last lecture concerning part I (R software environment) is held on Mon 15 Feb. After that we will have some introductory lectures on the other software needed for part II. | ||
39 | |||
40 | === Description === | ||
41 | |||
42 | This course consists of two parts, of which part one can be taken separately and is offered to anybody interested. | ||
43 | |||
44 | Part II is intended for EuroBayes students only. | ||
45 | |||
46 | ==== [[Part I>>url:http://www.rni.helsinki.fi/~~pek/s-tools/part1.html||shape="rect"]]: the R software. ==== | ||
47 | |||
48 | R is a popular software environment for statistical computing and graphics. R is free, open source, and has lots of documentation available online. However, learning to use R on one's own is laborious, and therefore taking this course is useful. | ||
49 | |||
50 | The main topics in part I are | ||
51 | |||
52 | * the R programming language | ||
53 | * reading and writing data | ||
54 | * R graphics | ||
55 | * some statistical facilities of R | ||
56 | |||
57 | This part of the course can be passed by returning a sufficient number of solved exercises. | ||
58 | |||
59 | ==== [[Part II>>url:http://www.rni.helsinki.fi/~~pek/s-tools/part2.html||shape="rect"]]: other software tools ==== | ||
60 | |||
61 | In part II we look at some other software useful for a statistician: | ||
62 | |||
63 | * computer algebra systems (Maple) | ||
64 | * report writing using LaTeX | ||
65 | * the BUGS system for Bayesian analysis with the aid of MCMC methods. | ||
66 | |||
67 | This part of the course can be passed by finishing practical work (harjoitustyö). | ||
68 | |||
69 | Part II cannot be taken separately, but only together with part I. | ||
70 | |||
71 | Part II is intended for EuroBayes students only. | ||
72 | |||
73 | The department offers a separate [[LaTeX course>>url:http://wiki.helsinki.fi/pages/viewpage.action?pageId=56368881||shape="rect"]] which is open to all students. | ||
74 | |||
75 | === Course material === | ||
76 | |||
77 | * Material for [[part I>>url:http://www.rni.helsinki.fi/~~pek/s-tools/part1.html||shape="rect"]]: R software | ||
78 | * Material for [[part II>>url:http://www.rni.helsinki.fi/~~pek/s-tools/part2.html||shape="rect"]]. | ||
79 | |||
80 | === [[Registration>>url:https://oodi-www.it.helsinki.fi/hy/opintjakstied.jsp?html=1&Tunniste=57429||shape="rect"]] === | ||
81 | |||
82 | Did you forget to register? [[What to do>>doc:mathstatOpiskelu.Kysymys4]]. |