Welcome to Design and Analysis of Experiments
Description: After a short survey of basic statistical concepts such as estimation, significance tests and confidence intervals, an introduction will be given to the analysis of designed experiments, including analysis of variance and factorial designs. The course will also cover multiple and polynomial regression. The course will be accompanied by an introduction to a dedicated statistical software package (R, see more at http://www.r-project.org).
Prerequisites: The course assumes basic knowledge about mathematics and probability theory as obtained through the engineering courses at Aalborg University. Some knowledge about basic statistics, such as one sample estimation and test of hypotheses, will be desirable.
Lecturers: Esben Høg and Torben Tvedebrink
Textbook: Douglas C. Montgomery. Design and Analysis of Experiments, 8th ed. Wiley, 2012
September 12, from 12:30-16:15 Optional precourse - introduction to R
September: 13, 14, 20, 21, 27 and 28. All days: 12:30 - 16:15 (Teacher: Esben Høg)
October: 4, 5, 11, 12, 26 and 27. All days: 12:30 - 16:15 (Teacher: Torben Tvedebrink)
- Active attendance in at least 9 out of 12 lectures
- Hand in a statistical analysis done in the last two lectures (needs to be passed
12 September - Niels Jernes Vej 6, room Njv 6A/1.26
13-14 September - Niels Jernes Vej 6, room Njv 6A/1.26
20-21 September - Fibigerstræde 13, room Fib 13.053
27-28 September - Niels Jernes Vej 6, room Njv 6A/1.26
04-05 October - Niels Jernes Vej 6, room Njv 6A/1.26
11-12 October - Niels Jernes Vej 6, room Njv 6A/1.26
26-27 October - Fibigerstræde 13, room Fib 13.053
Zip code: 9220
Number of seats: 40
Deadline: 23 August, 2016
Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.