ST507: Statistical design and analysis of experiments (5 ECTS)

STADS: 25000701

Level
Bachelor course

Teaching period
The course is offered in the spring semester.
4th quarter.

Teacher responsible
Email: yuri.goegebeur@stat.sdu.dk

Timetable
Show entire timetable
Show personal time table for this course.

Comment:
Ubegrænset deltagerantal. 4. kvartal.

Prerequisites:
None

Academic preconditions:
The content of Statistical Modelling (ST502) or Applied Statistics must be known.

Course introduction
To acquaint the students with efficient statistical methods that may serve as basis for the planning of experiments and research activities. The methods aim at providing precise and reliable data and moreover to reduce the experimental work as much as possible. Methods for reduction of the influence from noise factors on experimental results are presented.

Expected learning outcome
After having followed the course the student should be able to

• understand sources of variation and their impact on the collected data,
• plan experiments with focus on the estimation of the sources of variation,
• construct appropriate statistical models and to perform statistical inference on data with different sources of variation,
• reproduce key theoretical results concerning elementary operations on random variables and to apply these to simple theoretical assignments,
• work with the concepts and models of the course, both in scalar and matrix/vector representation,
• perform a practical data analysis using the methodology of the course,
• perform programming relevant to the content of the course in the statistical package used in the course,
• identify and interpret relevant information in the output of the statistical package used in the course,
• summarize the results of an analysis in a statistical report.

Subject overview
Main principles in experimental design:
Randomization and blocking.
Balanced designs, square-designs, one or more blocking variables.
Balanced incomplete block designs.
Factorial designs, blocking in factorial designs, fractional factorial designs and confounding.
Experimental optimization of processes under the presence of noise.
Response surface methods.
Multiple regression analysis.

Literature

Meddeles ved kursets start.

Syllabus
See syllabus.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
(a) Three hour written exam, external examiner and grades according to the Danish 7-point marking scale.
(b) Mandatory reports, passed/not passed, internal marking by lecturer.
(c) Reexam after the 2nd quarter.
Exam with all aids. Examination at other times only by application to the Study board.

Expected working hours
The teaching method is based on three phase model.

Forelæsninger: 28 timer.
Eksaminatorietimer/opgaveregning: 12 timer.
Laboratorieøvelser: 10 timer.
Educational activities

Language
This course is taught in English.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.