TMS032 / MSA251 Experimental design and sampling Spring 21

Welcome

Welcome to TMS032/MSA251 Experimental design and sampling.

This course will be fully online. All lectures and exercise sessions will be given in Zoom, and the teacher will be available online. This page contains the program of the course:. Other information, such as learning outcomes, teachers, literature and examination, are in a separate course PM.

Exam information - reexam Aug 16

The exam will be given online in zoom.

  • You log in to the exam specific zoom-room: note that you need to be there 45 min befor start for ID-check. (I.e. 13.15 at the latest)
  • At the start of the exam (14:00, Aug 16) you will be able to access the exam sheets.
  • The exam will be monitored centrally, and the examiner is available for questions during the exam.
  • All aids, except communication with another person, are allowed.
  • After the end time (18:00, Aug 16) you have another 15 minutes to scan and submit the exam. That is, submission deadline is 18:15. Please use common formats such as pdf, jpeg or text-files (Word etc). Corrupt files will not be considered and resubmissions after the deadline will not be allowed. For a suggestion on a scan app, CamScanner has been recommended by others.

Note that due to this online format, it will not be possible to increase the grade in a later exam.  

Teacher

Examiner and teacher: Marina Axelson-Fisk, (marinaa@chalmers.se)

Course litterature

M: Montgomery, D.C.: Design and Analysis of Experiments
C: Cochran, W.G.: Sampling Techniques
H: Handouts

Program

The schedule of the course can be found in TimeEdit. The same zoom-link below will be used for all sessions.

Lectures

Zoom-link: zoom, passcode: 251 251

Lecture notes: will be found here.

The following schedule is tentative:

Day Time Topic Litterature Lecture recording
Tues 19 Jan 13:15-15:00 Lecture: One-way ANOVA M: 3.1-3.4, 3.5.7, 3.9, 4.1,  L1.mp4
Thur 21 Jan 8:00-9:45 Exercise: One-way ANOVA M: pages 130-138 Exc1.mp4
10:00-11:45 Lecture: Linear regression M: 10.1-10.5, 10.7 L2.mp4
Tues 26 Jan 13:15-15:00 Lecture: Factorial design

M: 1.1-1.4, 1.6, 5.1-5.4, 6.1-6.4, 6.9, 7.1-7.3, 7.5

L3.mp4
Thur 28 Jan 8:00-9:45 Exercise: Linear regression M: Ch 10 Exc2: part1, part2
10:00-11:45 Lecture: Fractional factorial design M: 8.1, 8.2, 8.4, 8.5, 8.7 L4.mp4
Tues 2 Feb 13:15-15:00 Lecture: Response surfaces M: 11.1-11.4 L5.mp4
Thur 4 Feb 8:00-9:45 Exercise: Factorial design M: Ch 5, 6, 7 Exc3.mp4
10:00-11:45 Lecture: Mixed effects and split-plot design M: 13.1-13.3, 14.4 L6.mp4
Tues 9 Feb 13:15-15:00 Lecture: Simple random sampling, stratified sampling C: 1.1-1.9, 2.1-2.10, 5.1-5.4 L7.mp4
Thur 11 Feb 8:00-9:45 Exercise: Simple and stratified sampling C: Ch 1, 2, 5 Exc4.mp4
10:00-11:45 Lecture: Systematic sampling, cluster sampling C: 8.1-8.5, 9.1-9.5 L8.mp4
Tues 16 Feb 13:15-15:00 Lecture: Systematic sampling, cluster sampling C: 8.1-8.5, 9.1-9.5 L9.mp4
Thur 18 Feb 8:00-9:45 Excercise: Stratified and systematic sampling C: Ch 5 and 8 Exc5.mp4
10:00-11:45 Lecture: Pps-sampling, pi-ps-sampling C: 9A.1-9A.6 L10.mp4
Tues 23 Feb 13:15-15:00 Lecture: Horvitz-Thompson estimators C: 9A.7, 9A.10 L11.mp4
Thur 25 Feb 8:00-9:45 Exercise: Systematic and cluster sampling C: Ch 8, 9 Exc6.mp4
10:00-11:45 Lecture: Jackknife methods C: 11.17-11.21 L12.mp4
Tues 2 March 13:15-15:00 Lecture: Optimal allocation of resources C: 5.5-5.8 L13.mp4
Thur 4 March 8:00-9:45 Old exam Exc7.mp4
10:00-11:45 Lecture: Repetition L14.mp4

 

Exercises

Suggested exercises are those without crosses in the pdf:s below. Also, some of the data is given in Excel sheets for easier handling.

The OneNote exercise notes are found here.
Excel solutions to demonstrated problems: demonstrated_problems.xlsx.

Chapter Problems Data sheets, Excel
Ch 3 (M) Montgomery Ch3 Data_Ch3
Ch 10 (M) Montgomery Ch 10 Data_Ch10
Ch 5 (M) Montgomery Ch 5 Data_Ch5
Ch 6 (M) Montgomery Ch 6
Ch 7 (M) Montgomery Ch 7
Ch 8 (M) Montgomery Ch 8
Ch 5 (C) Cochran Ch 5
Ch 9A (C) Cochran Ch 9A
Ch 11 (C) Cochran Ch 11

 

Old exams

 

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