OBS! This is the homepage from the last year. So if you are taking the course right now and got here through ftek, then you are in the wrong place.
Latest news
101006: Course evaluation: Please download form courseeval.pdf, print and put in the blue box outside
Magnus office.
100930: Please note that due to problems with Mathematica, the Linux computer room MVF:22
has been booked (in addition to MVF:24-25) for the lab sessions on Oct 7 and
Oct 11.
100930: Project 6 is now added to the weekly plan.
100923: Project
5 is now added to the weekly plan. Please note that software is optional for
this project.
100916: Course
web site updated.
100908: Responsible
teacher added to weekly plan.
100820: First
lecture: August 31 at 1.15 pm in lecture hall Pascal
Teachers: Sofia Tapani
and Magnus Röding. Examiner: Patrik Albin
Contact information:
Sofia Tapani
www: http://www.chalmers.se/math/SV/organisation/matematisk-statistik/personal/doktorander/tapani-sofia
Email: sofia.tapani@chalmers.se
Telephone: 031 772 5336
Room: L3101
Adress: Matematisk Statistik, CTH & GU, 412 96 Göteborg, Sweden
Magnus Röding
www: http://www.chalmers.se/math/SV/organisation/matematisk-statistik/personal/doktorander/roding-magnus
Email: roding@chalmers.se
Telephone: 031 772 3556
Room: L3068
Adress: Matematisk Statistik, CTH & GU, 412 96 Göteborg, Sweden
Lecture notes that will be handed
out during class. These notes will also be available to download from this
page.
Preliminary plan for lectures and
classes
The course consists of seven
lectures and 6 mandatory projects. The focus is on learning how to solve
statistical problems with a selection of statistical software. Course programme
can be found here: pdf-file</
Weekly plan
Day |
Chapter |
Contents |
100831 |
1 |
Introduction,
Robustness and distribution assumptions: pdf-file, data file for laboration 1 ibm.txt. The laboration is to be carried out in MATLAB.
Teacher: Magnus |
100902 |
1 |
Project work |
100906 |
1 |
Project work |
100907 |
2 |
Decision
theory: pdf-file, data file for laboration 2: stockdata.tsv. Stock prices are in order in this file, so you do not need to change
the indexing. The laboration is to be carried out
in Mathematica. Teacher: Sofia |
100909 |
2 |
Project work |
100913 |
2 |
Project work |
100914 |
3 |
Resampling methods: pdf-file, data files for laboration 3: boot1.dat, boot2.dat. The laboration is to be carried out in R, unfortunately the file for invoking R in Emacs does not work. Teacher: Sofia |
100916 |
3 |
Project work |
100920 |
3 |
Project work |
100921 |
4 |
The
Monte Carlo method: pdf-fileThe laboration
is to be carried out in MATLAB and C/C++. Teacher: Sofia |
100923 |
4 |
Project work |
100927 |
4 |
Project work |
100928 |
5 |
Simulation
of stochastic processes: pdf-file Software is optional. Teacher: Magnus |
100930 |
5 |
Project work |
101004 |
5 |
Project work |
101005 |
6 |
Analytical
manipulations in bioinformatics: pdf-file The laboration is
to be carried out in Mathematica. Teacher: Magnus |
101007 |
6 |
Project work |
101011 |
6 |
Project work |
101012 |
7 |
More
on simulation of random variables: pdf-file
This non-mandatory lecture gives additional important facts about simulation
of random variables. Note that there is no laboration
on this lecture, and that it is up to each student to decide individually if
he or she want to learn the subject matter covered
by the lecture. The teachers of the course have the opinion that the material
is very important for a statistician to know about. |
091014 |
1-7 |
Project work |
The
computer rooms MVF:24 and MVF:25 are booked for our lab work Mondays 8.00-11.45
am and Thursdays 1.15-5 pm starting Thursday September 2. Sofia or Magnus will
visit the computer rooms every now and then during these hours to answer
questions. Students are welcome to contact Sofia
or Magnus by means of email (usually the
most convenient method of contact), in person or by telephone, whenever they
need help with the course.
Programming: Advice on Latex and programming is given here.
Examination
is handled by means of 6 mandatory projects, which are preferably carried out
in pairs of 2 students. Written reports are to be handed in on the projects
(see below), and examination is done based on the reports as follows: Each
report is given a grade between 0 and 15 points. At Chalmers, a total score on
the projects between 0-44 means failure, 45-59 gives grade 3, 60-74 gives grade
4 and 75-90 gives grade 5. At GU, 0-44 means failure, 45-67 gives grade G and
68-90 gives grade VG. The reports are required to be written in Latex using
pre-prepared Latex
les available from the course home page. The reports shall contain the computer
codes used, preferably inside the actual report rather than in an appendix. The
reports should preferably be handed in by email within 2 weeks after they have
been presented at the lectures. A short oral exam is required at the end of the
course just to check that the student has prepared his/her reports
himself/herself. Albeit the projects are usually carried out in pairs, it is
required that each student writes his/her own report.