Kursöversikt

This page contains the program of the course: lecturesexercise sessions and data  labs. Other information, such as learning outcomes, teachers, literature and examination, are in a separate course PM.

Program

The schedule of the course is available in TimeEdit. The course has two lectures and two exercise classes a week.  In weeks 3, 4, 5 (on Friday) and in weeks 6 and 8 (Thursday) there is also a data lab.  The slides (in English) will follow the Swedish language slides of the previous years prepared by David Bolin. The slides and the program below will be updated gradually at chalmersuniversity.app.box . If you find any mistakes or something is unclear, you can tell me in the chat here on Canvas.

Lectures

All lectures in a single pdf without pauses. 

 

Week Day Section Contents
1 Monday Ch. 1 and parts of 6.2, 6.3 Introduction and descriptive statistics Edit: Now with a histogram with many bins.
Wednesday Ch. 2

Rules for computing probabilities
Edit: I added the bugs.

2 Monday Ch. 3.1-3.2, parts of 3.4, 3.5-3.8 Bayes' theorem and discrete distributions
Wednesday Ch. 3.3 and Ch. 4.1-4.3 Continuous distributions
3 Monday Ch. 4.4-4.6, parts of Ch. 6.2 and 7.4 Introduction to the project
Normal distributions and Central Limit Theorem (CLT/CGS)
Wednesday Ch. 5.1-5.4 Probability theory for several variables
4 Monday Ch. 7.1, 7.2 Point estimates
Wednesday Ch. 7.3 (excluding mgf's), 7.4, 8.1, 8.2 Confidence intervals
5 Monday Ch. 8.3-8.6 Testing hypotheses
Wednesday Ch. 10.1 - 10.5 Comparison of population means
6 Monday Ch. 8.7, 9, 10.6 More on comparisons and tests
Wednesday Ch. 11.1 - 11.5 Regression
7 Monday Ch. 12 Multiple regression
Wednesday Ch. 13.1 and 14.1 (parts) Analysis of variance
8 Monday Ch. 14.4 Factorial experiments
Wednesday - Repetition 

 

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Recommended exercises

Week Day Exercises
1 Tuesday RMV: 1.2, 1.3, 1.6, 1.8, 2.1, 2.2, 2.4, 2.5, 2.9
Friday RMV: 2.6, 2.10, 2.14, 2.18, 2.22, 2.24, 2.31, 2.32, 2.44
2 Tuesday RMV: 3.1, 3.2, 3.4, 3.5, 3.6, 3.9, 3.11, 3.13, 3.14, 3.29
Friday RMV: 3.38, 3.40, 3.42, 3.48, 3.49, 3.52, 3.53, 3.61, 3.62, 3.63
3 Tuesday RMV: 3.72, 3.73, 3.79, 3.81, 3.83, 3.86, 3.94, 3.103, 3.110, 3.116
Friday RMV: 3.123, 3.125, 3.129, 3.132
IPS: 5.1, 5.2, 5.3, 5.8, 5.15, 5.29
4 Tuesday RMV: 4.1, 4.2, 4.8, 4.9, 4.10, 4.14, 4.19, 4.21, 4.22, 4.23
Friday RMV: 4.26, 4.27, 4.30, 4.31, 4.34, 5.6, 5.7, 5.9
5 Tuesday RMV: 4.37, 4.41, 4.43, 4.44, 4.48, 5.1, 5.8, 5.12
Friday RMV: 4.42, 5.4, 5.14, 5.29, 5.32, 5.38, 5.44 5.50, 5.52
6 Tuesday RMV: 5.54, 5.56, 5.59, 5.63, 5.74
IPS: 8.53, 8.55, 9.19, 10.37, 10.43
7 Monday RMV: 6.1, 6.2, 6.11, 6.12, 6.15, 6.18
Tuesday RMV: 6.22, 6.26, 6.31, 6.34
IPS: 12.3, 12.5, 12.37-12.42
Friday IPS: 13.4, 13.7, 14.3, 14.4-14.9
8 Tuesday RMV: 7.1, 7.3, 7.4, 7.9, 7.10
Friday Repetition

IPS:
Milton,  Arnold: Introduction to probability and statistics (4. ed.). ISBN: 978-1292025049 (English).

RMV:
Zetterqvist,  Lindström:  Räkna med variation (övningsuppgifter). ISBN: 9789144113142. (Swedish).

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Formula sheets and vocabulary

Formula sheet (up to multiple linear regression) Formelsamling

Engelsk-svensk matematisk ordlista

 

Data labs

Week Day Activity
3 Friday Data lab 1 (L1.m)
4 Friday Data lab 2 (sv, en
5 Friday Data lab 3 (sv, en)
6 Thursday Data lab 4 (sv, en)
Thursday Hand-out of corrected assignments

Literature for labs:

Swedish

  1. Material utvecklat av MV som ger en kortfattad introduktion till Matlab
  2. Programmering med MatlabKatarina Blom. Ger en introduktion till Matlab och lär ut grunderna i programmering med Matlab. Rekommenderas varmt för dig som är nybörjare både vad gäller programmering och Matlab.

English

  1. Learning MATLAB, Tobin A. Driscoll. Introduction to MATLAB aimed at students with prior programming experience. Available as  e-book at Chalmers library.
  2. Physical Modeling in MATLAB 3/E, Allen B. Downey
    The book can be  downloaded for free from the internet. The book gives an introduction for students who have not programmed before. It covers basic MATLAB programming with focus on modeling and simulation of physical systems.

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Exam solutions

Exam 2019-10-30

Group assignment

Registering for group using Canvas is open. Download project description and data (you only need the file corresponding to your group number.) The group assignments are handed in on Canvas in the form of a written report no later than 2019-10-16 23:59.

Student representatives

The student representatives represent the course participants and relay student feedback. For this course, this are:

Olivia Borg (borgol@chalmers.se)
Emma Pettersson (emmpe@chalmers.se)

Miscellanea

An Introduction to the Hypergeometric Distribution for Magic Players. Frank Karsten, 12 Dec, 2018.

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Kurssammanfattning:

Datum Information Sista inlämningsdatum