Latest news
2017-06-19 The deadline for the August reexamination is on Friday 25th August, at 17.00. Hand in only electronic versions of the reports by e-mail to statdata.chalmers@analys.urkund.se . In case of returns, you should also hand in the original version with comments in the box outside Tobias' office.

2016-11-11 All reports have now been corrected.

2016-11-10 The deadline for the re-examination has been decided to Tuesday January 10th, 2017, at 17.00. Hand in only electronic versions of the reports by e-mail to statdata.chalmers@analys.urkund.se . In case of returns, you should also hand in the original version with comments in the box outside Tobias' office. Please remember to clearly indicate what you have changed if you hand in returns. Also remember that it is okay to hand in the reports earlier than the final date.

2016-10-27 Lab 6 reports that were handed in before the recommended deadline are now corrected and are given back at Tobias' office.

2016-10-21 The reports on lab 4 that were handed in on time are now corrected and are given back in the box outside Tobias' office.

2016-10-11 The "questioning hour" next week will be on Tuesday October 18th between 8.00-10.00 in Tobias' office. In case of many people at the same time we will move to MVL22.

2016-10-11 All lab 3 reports that were handed in before the recommended deadline have now been corrected.

2016-10-03 The lab 2 reports that were handed in before deadline have now been corrected and are given back at the lectures, or outside Tobias' office. Instructions for hand-in of returns: Hand in both the new version and the original version with remarks, in order for us to see the comments from last time.

2016-09-27 Tobias' notes about Studentized confidence intervals for lab 4 are added here, since this was only briefly mentioned at the lecture.

2016-09-23 When the reports are graded they will be given back at the lectures and exercises, or in a box outside Tobias office. You will not get any email with the results.

2016-09-05 Examples of the report outline has been added for lab 2 and 4. This will help you in the report writing, but it is not necessary to use the example structure.

2016-08-30 To open Rstudio on the Linux computers in the computer room, open a terminal and type rstudio

2016-08-29 The pdf for lab 1 has been edited a bit at the exercise formulation to make the questions more clear.

2016-08-23 Welcome to the course. The first lecture takes place on Tuesday 30th August at 8.00 in Room Pascal. Link to map.

2016-08-16 GU students who are registered on the course, but do not have a Chalmers computer account can visit the helpdesk in the mathematics building at the following times to get one: 1. Tuesday 30 August at 14.00 (safest option) 2. Wednesday or Thursday at 11.00-15.00. To find the helpdesk, enter the building at Skeppsgränd 3 and cross over the glass bridge on the second floor.

2016-08-16 The pdf files for the labs (Lecture notes + lab instructions) are now uploaded to the website.

Teachers
Course coordinator, lectures and exercises:

Tobias Österlund (tobiaso@chalmers.se, +46 31 772 53 60, room L3076)

Exercises:

Jonatan Kallus (kallus .at. chalmers.se, room L2120)
Andreas Petersson (andreas.petersson .at. chalmers.se, room L3048)

Email for submitting reports: statdata.chalmers@analys.urkund.se
Examiner: Erik Kristiansson
Schedule
Schedule in TimeEdit

The lectures are in room Pascal. Link to map.
The computer exercises are in rooms MVF22, MVF24 and MVF25. Link to map.

The course consists of lectures and six mandatory projects (labs). The focus is on learning how to solve statistical problems with a selection of statistical software. The lecture notes and lab instructions will be published below. Note that none of the lectures or computer lab sessions are mandatory to attend, the only requirements is to carry out and hand in the six projects (only answers for lab 1 and 5 and complete reports for lab 2-4 and 6). The teachers will only be available for supervision during the scheduled sessions.

Lectures

Date Content
Lecture slides
160830 Tues Introduction to the course. Lab 1: Robustness and distribution assumptions. The lab is done in Matlab, R and Mathematica. Slides
160906 Tues Recap lecture on basic statistics: point estimation, confidence intervals, hypothesis testing, p-values, maximum likelihood estimators
 
160913 Tues Lab 2: Decision theory. You are going to need this data set. The lab is done in Matlab. Example of report structure, lab2: (pdf, tex source code). Slides from lecture
160920 Tues Lab 3: Reliability and survival. The lab is done in Mathematica. Slides from lecture
160927 Tues Lab 4: Bootstrap. The lab is done in R.
Example of report structure, combined pdf (tex), Example of report structure, separated pdf (tex)
Slides from lecture
161004 Tues Lab 5: Monte Carlo integration. The lab is done in C and Matlab.   
161011 Tues Lab 6: Simulation of stochastic processes. The lab is done in R.  


Computer labs
The computer labs will be in room MVF22, MVF24 and MVF25. The teachers will be available for answering questions, i.e. there will not be any more formal class (unless stated otherwise).

Date
Time
Teachers and main topic
160901 Thurs
8.00 - 11.45
Lab 1, Jonatan 8-11.45, Tobias 10-11.45
160905 Mon
8.00 - 11.45
Lab 1, Jonatan 8-11.45, Tobias 10-11.45
At 9.00 in room MVF26 Tobias will give an intro/demo of R.
160908 Thurs
8.00 - 11.45
Lab 1, Jonatan 8-11.45, Tobias 10-11.45
At 9.00 in room MVF26 Tobias will give an intro/demo of Mathematica and talk about report writing.
160912 Mon
8.00 - 11.45 Lab 1, Jonatan 8-11.45, Tobias 10-11.45
160915 Thurs
8.00 - 11.45 Lab 2, Jonatan 8-11.45, Tobias 10-11.45
160919 Mon
8.00 - 11.45 Lab 2, Jonatan 8-11.45, Tobias 10-11.45
160922 Thurs
8.00 - 11.45 Lab 3, Jonatan 8-11.45, Tobias 10-11.45
160926 Mon
8.00 - 11.45 Lab 3, Jonatan 8-11.45, Tobias 10-11.45
160929 Thurs 8.00 - 11.45
8-11.45 Andreas, lab 4, 10-11.45 Tobias, lab 1-3
161003 Mon 8.00 - 11.45 Lab 4, Andreas 8-11.45, Tobias 10-11.45
161006 Thurs
8.00 - 11.45 Lab 5, Andreas 8-11.45, Tobias 10-11.45
At 9.00 in room MVF26 Tobias will give an intro/demo of C
161010 Mon
8.00 - 11.45 Lab 5, Andreas 8-11.45, Tobias 10-11.45
161013 Thurs
8.00 - 11.45 Lab 6, Andreas 8-11.45, Tobias 10-11.45
161017 Mon
8.00 - 11.45 Lab 6, Andreas 8-11.45, Tobias 10-11.45
161018 Tues
8.00 - 9.45 Questioning hour, Tobias' office or MVL22
161020 Thurs
8.00 - 11.45 Lab 6, Andreas 8-11.45


Examination
The course is examined by completing the mandatory assignments. There is no written exam.

Deadlines for the first version of each report and instructions for handing in
The recommended deadlines for handing in reports are the following:

Exercise Type of examination Recommended deadline Final deadline Teacher
Lab 1 - Robustness and distribution assumptions Only answers Monday 12 Sep, 11.45 Monday 31 Oct, 17.00 -
Lab 2 - Decision theory Complete report Monday 26 Sep, 8.15 Monday 31 Oct, 17.00 Jonatan
Lab 3 - Reliability and survival Complete report Monday 3 Oct, 8.15 Monday 31 Oct, 17.00 Jonatan
Lab 4 - Bootstrap Complete report Monday 10 Oct, 8.15 Monday 31 Oct, 17.00 Andreas
Lab 5 - Monte Carlo integration Only answers Thursday 13 Oct 11.45 Monday 31 Oct, 17.00 -
Lab 6 - Simulation of stochastic processes. Complete report Monday 24 Oct 8.15 Monday 31 Oct, 17.00 Andreas

Lab 1 and 5:
Only answers to the questions are needed. You can pass the exercise either by showing your answers to the teacher at the exercise session (in the computer room), or by sending the answers by email to Tobias ( tobiaso@chalmers.se )

Lab 2,3 4 and 6:
Complete reports are needed. Each student needs to write individual reports. The report should be written in Latex and not exceed 10 pages, including figures, but excluding appendix.
Send the reports by email in pdf format to
statdata.chalmers@analys.urkund.se and hand in a printed copy in the box outside Tobias' office. The reports will be checked for plagiarism.
If you hand in the report before the recommended deadline stated above, you will get the corrections back before the final deadline. In this way you will be able to hand in a return with corrections if you want. You can hand in each report maximum two times (original + return).
Instructions for hand-in of returns: Hand in both the new version and the original version with remarks, for us to see the comments from last time.

Rules for examination

The number of points given for each lab.


Project Total Pass
Lab 2 13
7
Lab 3 11
5
Lab 4 14
6
Lab 6 10
4
Total 48
22


The grading:

Note, that for all grades below you need to have a pass on each of the labs (see table above), i.e. it is not enough to only have the total number of points according to the limits below.

Chalmers:                                                                                GU:

Pass: Pass on lab 1 and 5 and 22 points                                          G: Pass on lab 1 and 5 and 22 points
Four: Pass on lab 1 and 5 and 32 points                          VG: Pass on lab 1 and 5 and 37 points
Five: Pass on lab 1 and 5 and 42 points




Computer labs

Lab sessions : The computer rooms MVF22, MVF24 and MVF25 are booked for Mondays 8.00 - 11.45 and Thursdays 8.00 - 11.45, see schedule above for which teacher that is available on what time.
Programming:
Advice on programming is given here.
Writing:
Advice on Latex and report writing is given here.


To open Rstudio on the linux computers, open a terminal and type rstudio
Working on your own laptop: You can, of course, work on your own computer. You should be able to download Matlab and Mathematica from here. R is free and can be downloaded from this site, and you can download RStudio from here. It is recommended to use Sharelatex or Overleaf for preparing latex reports. Register with your Chalmers email at Sharelatex to get a premium account. There also are free Latex compilers out there, for example this one.


Additional comments/hints/references on the labs:

Lab 3


Lab 4:


Lab 5:


Course literature
    Lecture notes that are available on this page, under the lectures section.