STK9051 – Computational Statistics

Schedule, syllabus and examination date

Choose semester

Changes in the course due to coronavirus Spring 2020

Teaching and examinations will take place digitally. This may result in changes to your schedule, mandatory activities, exam form and grading scale. See updated information on the semester page and in Canvas.

See common guidelines for exams at the MN faculty spring 2020.

Course content

Statistical analysis is becoming more and more complex, both because of bigger data and many types of data and because of the use of more advanced methods and models. This course deals with numerical methods for performing such analysis, both traditional and more modern methods.

Learning outcome

After taking this course you have learned about:

  • Stochastic simulation techniques, including Markov Chain Monte Carlo
  • Optimisation methods relevant for statistical methodology
  • Bootstrapping and simulation-based inference methods
  • Numerical methods for analysing large amounts of data
  • Visualisation of data

After having completed the course you will also be able to:

  • present, on a scientific level, a short thesis on a chosen topic of relevance, selected in collaboration with the lecturer

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.

MAT1120 – Linear Algebra, STK1100 – Probability and Statistical Modelling and STK1110 – Statistical Methods and Data Analysis.

Overlapping courses

Teaching

3 hours lecture/exercises each 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

1 mandatory assignment.

Final oral or written examination. The form of examination will be announced by the teaching staff by 15 October/15 March for the autumn semester and the spring semester respectively.

In addition, each PhD student 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.

Examination support material

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) June 1, 2020 7:28:13 AM

Facts about this course

Credits
10
Level
PhD
Teaching

Spring 2020

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

Teaching language
English