Schedule, syllabus and examination date

Choose semester

Exams after the reopening

As a general rule, exams will be conducted without physical attendance in the autumn of 2021, even after the reopening. See the semester page for information about the form of examination in your course. See also more information about examination at the MN Faculty in 2021.

Course content

Estimation and testing of hypothesis with autoregressive processes and moving averages (i.e. ARMA-processes) and with stationary processes. Correlogram, periodogram, spectrum. State-space models (Kalman filter). Illustration on real data.

Learning outcome

You learn about the main models and techniques to analyze data where the time dimension is important. This is a useful basis to evaluate how time-correlated data should be treated.

Admission to the course

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.

STK1100 – Probability and Statistical Modelling, STK1110 – Statistical Methods and Data Analysis and one of the following courses: STK2100 – Machine Learning and Statistical Methods for Prediction and Classification or STK3100 – Introduction to Generalized Linear Models

Overlapping courses

Teaching

3 hours of lectures/exercises per week.

The course may be taught in Norwegian if the lecturer and all students at the first lecture agree to it.

Upon the attendance of three or fewer students, the lecturer may, in conjunction with the Head of Teaching, change the course to self-study with supervision.

Examination

Final written exam or final oral exam, which counts 100 % towards the final grade.

The form of examination will be announced by the lecturer by 15 October/15 March for the autumn semester and the spring semester respectively.

This course has 1 mandatory assignments that must be approved before you can sit the final exam.

In addition, each PhD candidate is expected to give an 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.

 

It will also be counted as one of the three attempts to sit the exam for this course, if you sit the exam for one of the following courses: STK4060 – Time Series

Examination support material

Written exam: approved calculator. Information about approved calculators (Norwegian only)

Oral exam: No examination support material is allowed.

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.

Resit an examination

This course offers both postponed and resit of examination. Read more:

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Oct. 26, 2021 1:50:15 AM

Facts about this course

Credits
10
Level
PhD
Teaching

Spring 2022

Taught according to demand and resources. Contact studieinfo@math.uio.no if you are interested in this course.

Examination
Spring
Teaching language
English