STK9040 – Multivariable analysis
Course description
Course content
Modern data analysis emphasizes multivariable techniques. In this course such techniques are introduced by first studying the multivariate normal distribution. Then Hotelling T2, MANOVA and multivariable regression is presented. Futhermore the course covers principal component analysis, factor analysis, canonical correlation analysis, discriminant analysis and cluster analysis.
Learning outcome
You learn about the basic principles for analyzing multivariate data using the multinormal distribution, and the main models based on multivariate correlations.
Admission
PhD candidates from the University of Oslo should apply for classes and register for examinations through Studentweb.
If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.
PhD candidates who have been admitted to another higher education institution must apply for a position as a visiting student within a given deadline.
Prerequisites
Recommended previous knowledge
STK1100 – Probability and Statistical Modelling, STK1110 – Statistical Methods and Data Analysis, STK2120 – Statistical Methods and Data Analysis 2 (discontinued).
Overlapping courses
- 10 credits overlap with STK4040 – Multivariable analysis (discontinued)
- 2 credits overlap with INF9540
The information about overlaps is not complete. Contact the department for more information if necessary.
Teaching
3 hours of lectures/exercises per week.
Examination
Depending on the number of students, the exam will be in one of the following four forms:
1.Only written exam
2.Only oral exam
3.A project paper followed by a written exam.
4.A project paper followed by an oral exam/hearing.
For the latter two the project paper and the exam counts equally and the final grade is based on a general impression after the final exam. (The two parts of the exam will not be individually graded.)
What form the exam will take will be announced by the teaching staff within October 15th for the autumn semester and March 15th for the spring semester.
In addition, each phd student is expected to give a one hour oral presentation on a topic of relevance (chosen in cooperation with the lecturer). The presentation has to be approved by the lecturer for the student to be admitted to the final exam.
Examination support material
Permitted aids at the exam if written: Approved calculator.
Oral exam: No aids permitted.
Information about approved calculators (Norwegian only)
Language of examination
Subjects taught in English will only offer the exam paper in English.
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grading scale
Grades are awarded on a pass/fail scale. Read more about the grading system.
Explanations and appeals
Resit an examination
This course offers both postponed and resit of examination. Read more:
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.
Evaluation
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.