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As a change from earlier years, you should register yourself for this course. Self-registration is open in the period 16-22 January. Students who have signed up for the course should have received information about how to register.

News about the course will be available at the course home pages at GUL: log in at portalen.gu.se and go to GUL. Registered students of this course will have an activity in GUL called ”MSA830 V12 Statistical Analysis and Experimental design” there, which will contain more information.

Teachers

Examiner and lecturer: Petter Mostad
Teaching Assistant: Anton Muratov
Teaching Assistant: Ronny Hedell

Course litterature

Main text book: Lecture Notes, available from GUL.
Reference literature (not obligatory): Douglas C. Montgomery: Design and Analysis of Experiments, 7th edition. The following parts of Montgomery are recommended reading: Chapter 1, Chapter 2, Chapter 3 (3.1-3.4), Chapter 4 (4.1-4-2), Chapter 5 (5.1-5.3), Chapter 6 (6.1-6.4), C hapter 7 (7.1-7.5), Chapter 8 (8.1-8.2).

Programme

The schedule is available here.

• To find the location of the varous rooms, you may use this map. (If you allow pop-ups, you will get a clickable list of lecture rooms).
• Each student should attend one of the two computer labs each week ("Computerlab A" or "Computerlab B" in the schedule). and one of the two exercise-solving sessions (respectively ”Lab” and ”Lek” in the schedule foud above). Students will be divided into two groups at the first lecture. If you want to switch groups, you will have to find another student to switch with, and you both need to notify the teacher about the switch.

Lectures

Day	Chapter	Contents
Fri 20 Jan 9:00 – 11:45	Chapter 1	Course introduction. Uncertain knowledge. Probability distributions.
Mon 23 Jan 13:15 – 15:00	Chapter 2	Computer computations with R
Wed 25 Jan 10:00 – 11:45	Chapter 3	Computing with probability distributions
Mon 30 Jan 13:15 – 15:00	Chapter 4	The normal distribution
Wed 2 Feb 10:00 – 11:45	Chapter 5	More probability distributions
Mon 6 Feb 13:15 – 15:00	Chapter 6	Learning about parameters of normal distributions
Wed 8 Feb 10:00 – 11:45	Chapter 7	Linear models
Mon 13 Feb 13:15 – 15:00	Chapter 8	Balanced designs
Wed 15 Feb 10:00 – 11:45	Chapter 9	ANOVA tables
Mon 20 Feb 13:15 – 15:00	Chapter 10	Linear regression
Wed 22 Feb 10:00 – 11:45	Chapter 11	Causality and scientific reproducibility
Mon 27 Feb 13:15 – 15:00	Chapter 12	Efficient learning
Wed 29 Feb 10:00 – 11:45	Chapter 13	Hypothesis testing
Mon 5 Mar 13:15 – 15:00	Chapter 14	Model choice
Wed 7 Mar 10:00 – 11:45		Examples

Exercise classes

Day	Chapters	Contents
Tues 31 Jan 10:00 – 11:45	1, 2, 3	Section 1.6: In particular 2, 3, 7, and 9. Section 2.4: In particular 5. Section 3.6: In particular 1 and 3. If time, look at section 3.8.
Tues 7 Feb 10:00 – 11:45	4, 5, 6	Section 4.6: In particular 2, 6, 7 Section 5.8: In particular 2, 4, 5 Section 6.11: In particular 1, 3
Tues 14 Feb 10:00 – 11:45	7, 8	Section 7.8: In particular 1, 4 Section 8.7: 1, 2
Tues 21 Feb 10:00 – 11:45	9, 10	Section 9.6 Exam March 2011: 1,3,5,7 (see GUL)
Tues 28 Feb 10:00 – 11:45	11, 12	Section 11.8 Section 12.9
Tues 6 Mar 10:00 – 11:45	13, 14	Exam October 2011 Questions you might have.

Computer labs

Day	Contents
Group A: Tues 24 Jan 13:15 – 15:00 Group B: Tues 24 Jan 15:15 – 17:00	Section 2.5 ”Exercises using R”. (Note: The answer to 2.5.5, together with answers to 3.7.4 and 4.7.1, should be handed in via GUL with deadline Thursday 2 February 8:00 AM)
Group A: Tues 31 Jan 13:15 – 15:00 Group B: Tues 31 Jan 15:15 – 17:00	Sections 3.5 and 4.7. (Note: The answer to 2.5.5, together with answers to 3.7.4 and 4.7.1, should be handed in via GUL with deadline Thursday 2 February 8:00 AM.)
Group A: Tues 7 Feb 13:15 – 15:00 Group B: Tues 7 Feb 15:15 – 17:00	Sections 5.9 and 6.12. (Note: Obligatory exercises, to be handed in via GUL with deadline Thursday 16 February 8:00 AM: Exercise 6.11.1, solved with R lestat functions, and exercise 8.8.1)
Group A: Tues 14 Feb 13:15 – 15:00 Group B: Tues 14 Feb 15:15 – 17:00	Sections 7.9 and 8.8. (Note: Obligatory exercises, to be handed in via GUL with deadline Thursday 16 February 8:00 AM: Exercise 6.11.1, solved with R lestat functions, and exercise 8.8.1)
Group A: Tues 21 Feb 13:15 – 15:00 Group B: Tues 21 Feb 15:15 – 17:00	Sections 9.7 and 10.5.
Week 9: No computer labs	Project work instead: See below.
Group A: Tues 6 Mar 13:15 – 15:00 Group B: Tues 6 Mar 15:15 – 17:00	Help with computations for mini-projects

Other meetings and deadlines

Day	Contents
Mon 23 January 15:00 – 16:00	Registered students get their computer accounts at the Mathematical Sciences helpdesk (old helpdesk: In the Mathematics building, level 2, close to the glass bridge.)
Thur 2 February 8:00	Deadline for submitting first obligatory R exercises in GUL
Thur 16 February 8:00	Deadline for submitting second obligatory R exercises in GUL
Mon 20 February 15:15 – 17:00	Information meeting for mini-projects.
Tues 28 February 13:15 – 15:00	Help with mini-project plans primarily for computerlab A students.
Tues 28 February 15:15 – 17:00	Help with mini-project plans primarily for computerlab B students.
Wed 29 February 8:00	Deadline for submitting mini-project experimental plans in GUL
Tues 6 March 13:15 – 15:00	Help with mini-project data analysis, computerlab A students.
Tues 6 March 15:15 – 17:00	Help with mini-project data analysis, computerlab B students.
Thur 8 March 8:00	Deadline for submitting mini-project reports in GUL
Thur 8 March	Remember to sign up for the exam, via Ladok on your student portal, at least one week before the exam!
Fri 16 March 8:30 – 13:30	Exam. Location: The "Väg och Vatten" building.

Computer labs

An important part of the course is working with computers. It is your own responsibility to obtain a username and password for the computers in the computer lab MVF22. You can get this after you have registered for the course. Registered students get the username and password at the old Mathematical Sciences helpdesk (level 2, close to the glass bridge) Monday 23 January 15:00 – 16:00. Alternatively, registered students can go to the new Mathematical Sciences helpdesk next to the math expedition (on the ground floor) during the regular opening hours: Tuesdays 12:30 – 13:30 and Thursdays 12:30 – 13:30. Note that it may take a few hours after the registration of your accound before you can use it. If you prefer, you may instead choose to bring your own laptop to the computer labs. Those who bring their own laptops, should download and install R on their computers: Go to www.r-project.org, and find CRAN on the left menu. You should choose a ”precompiled binary distribution” appropriate for your operating system, and use the ”base distribution”. Installation is generally quick and painless.

Course requirements

The course has been designed so that it can be followed by students with minimal background knowledge.
This course is gererally compulsory for master students at the Faculty of Natural Science at Göteborg University. Consult your own master program to see if this course is compulsory for you. Even when the course is compulsory, you may be exempt if you have corresponding knowledge from other courses. It is the coordinator of your master program who decides (possibly after consulting with the teacher of this course) if you may be exempted, so you should contact her or him with questions about this.
When this course is a compulsory part of your master degree, it is advisable to pass the exam early in your master program. The course is taught two times each year, in the first part of the autumn and the first part of the spring, and in addition there may be three re-exams, in January, June, and in August. UNDER NO CIRCUMSTANCES will additional exams be given. Some students delay passing this course so long that they end up with serious problems with visas, with PhD positions, etc. Make sure you will not be one of these students.

Assignments

There are two sets of computer exercises where it is obligatory to hand in the results. Note that results should be handed in electronically via GUL.
The main assignment in the course is the mini-project. In these projects, students apply methods for experimental planning and data-analysis to some problem they find interesting. First, an experimental plan is written and handed in (via GUL) for comments. Then, based on these comments the actual experiment is performed, and an analysis is written and handed in for comments. Students work in groups of 2-3 people. Exact instructions will be given out via GUL.

Examination

To pass this course you must pass hand in the obligatory sets of R exercises, complete the mini-project, and pass the written exam. The written exam counts as 5.5 higher education points, while the miniproject and R exercises count as 2 higher education points. These two parts are registered separately in Ladok, so that students who pass only one need only re-take the other. The course grade (VG/G/IG) is based on the written exam, while the possible grades for the miniproject part are G and IG.

Examination procedures

In Chalmers Student Portal you can read about when exams are given and what rules apply on exams at Chalmers. This course follows the same set of rules.
At the exam, you should be able to show valid identification.
Before the exam, it is important that you report that you want to take the examination. You do this by signing up via your student portal.
During the exam the following aids are permitted: A calculator, lecture notes and textbooks, printouts, and your own personal notes. Copies of relevant tables from the textbook will be provided.
Notice of result is obtained only by email via Ladok. (Not verbally at study expedition.) This is done automatically when the results are registered. Check that you have the right grades and score.

After a regular examination:
A review is arranged, where the student can discuss his or her answers with the teacher. The date of the review is announced via GUL. Anyone who can not participate in the review may thereafter retrieve and review their exam at the Mathematical sciences study expedition, Monday through Friday, from 9:00 to 13:00. Any complaints about the marking must be submitted in writing at the office, where there is a form to fill out.

After a re-examination:
Exams are reviewed and picked up at the Mathematical sciences study expedition, Monday through Friday, from 9:00 to 13:00. Any complaints about the marking must be submitted in writing at the office, where there is a form to fill out.

Old exams

Because of changes in the textbooks used, the newest exams are the most relevant to study for current students:

• Exam January 2012 with suggested solutions.
• Exam October 2011 with suggested solutions.
• Exam August 2011 with suggested solutions.
• Exam June 2011 with suggested solutions.
• Exam March 2011 with suggested solutions.
• Exam January 2011 with suggested solutions.
• Exam October 2010 with suggested solutions.
• Re-exam June 2010 with suggested solutions.
• Exam March 2010 with suggested solutions.
• Exam October 2009 with suggested solutions.
• Exam March 2009 with suggested solutions.
• Exam October 2008 with suggested solutions.
• Reexam March 2008 with suggested solutions.
• Exam February 2008 with suggested solutions.
• Exam December 2007 with suggested solutions.