course-details-portlet

TMA4267 - Linear Statistical Models

About

Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letters

Evaluation Weighting Duration Grade deviation Examination aids
Arbeider 20/100
Skriftlig eksamen 80/100 4 timer

Course content

Simple linear and multiple linear regression. Analysis of variance. Experimental design. Multivariate normal distribution. Model selection and regularization. Contingency tables.

Learning outcome

1. Knowledge. The student has strong theoretical knowledge about the most popular statistical models and methods that are used in science and technology, with emphasis on regression-type statistical models. The statistical properties of the multivariate normal distribution are well known to the student, and the student is familiar with the role of the multivariate normal distribution within linear statistical models.
2. Skills. The student knows how to design an experiment and how to collect informative data of high quality to study a phenomenon of interest. Subsequently, the student is able to choose a suitable statistical model, apply sound statistical methods, and perform the analyses using statistical software. The student knows how to present the results from the statistical analyses, and how to draw conclusions about the phenomenon under study.

Learning methods and activities

Lectures, exercises using appropriate software, and semester project(s). Portfolio assessment
is the basis for the grade awarded in the course. This portfolio comprises a written final
examination (80%) and the semester project(s) (20%). The results for the constituent parts
are to be given in %-points, while the grade for the whole portfolio (course grade) is given by
the letter grading system. Retake of examination may be given as an oral examination. The
lectures will be given in English if they are attended by students from the Master’s Programme
in Mathematical Sciences for International Students.

Compulsory assignments

  • Exercises

Course materials

Will be announced at the start of the course.

Credit reductions

Course code Reduction From To
SIF5038 2.5
SIF5068 5.0
ST2202 5.0
TMA4255 5.0
TMA4260 5.0
TMA4270 2.5
Facts

Version: 1
Credits:  7.5 SP
Study level: Third-year courses, level III

Coursework

Term no.: 1
Teaching semester:  SPRING 2015

Language of instruction: English, Norwegian

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Subject area(s)
  • Statistics
  • Technological subjects
Contact information
Course coordinator:

Department with academic responsibility
Department of Mathematical Sciences

Examination

Examination arrangement: Portfolio assessment

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD Skriftlig eksamen 80/100 2015-05-22 09:00
Room Building Number of candidates
Spring ORD Arbeider 20/100
Room Building Number of candidates
Summer KONT Arbeider 20/100
Room Building Number of candidates
Summer KONT Muntlig eksamen 80/100
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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