STK9400 – Risk and Reliability Analysis

Schedule, syllabus and examination date

Choose semester

Course content

The course covers a broad range of advanced methods in risk and reliability analysis. This will lead to the research front in specific chosen areas: Advanced methods in graph theory and network reliability; reliability and availability of multistate systems, in particular repairable flow systems; convex risk measures; methods for constructing environmental contours applicable in design of marine constructions; stochastic models for repairable systems and optimization of energy production under uncertainty. The course also includes examples of applied risk analysis.

Learning outcome

After completing the course you:

  • are able to carry out simple risk analyses from real problems;
  • know how to construct and analyze different stochastic models;
  • have knowledge about the relevant software used in the analyses;
  • have a thorough understanding of central notions, models and methods, and are able to participate in research projects within risk and reliability analysis.

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.

Overlapping courses

10 credits overlap with STK4400 – Risk and reliability analysis

The information about overlaps is not complete. Contact the department for more information if necessary.

Teaching

3 hours of lectures/exercises per week.

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

No mandatory assignments.

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

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

Oral examination: No support materials permitted.

 

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.

Facts about this course

Credits

10

Level

PhD

Teaching

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

Examination

The same semester as taught.

Teaching language

English

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