Reliability Analysis (RIS510)

Basic concepts and techniques in reliability analysis are introduced.


Course description for study year 2025-2026

See course description and exam/assesment information for this semester (2024-2025)
Facts

Course code

RIS510

Version

1

Credits (ECTS)

10

Semester tution start

Spring

Number of semesters

1

Exam semester

Spring

Language of instruction

English

Offered by
Time table

View course schedule

Content

Basic concepts and techniques in reliability analysis are introduced. Themes covered in the course are among others:

  • The probability theoretical foundation for risk and reliability analyses.
  • Calculation of system reliability for binary and multi-state systems.
  • Optimization of reliability and maintenance strategies.
  • Statistical analysis of reliability data for both repairable and non-repairable systems.
  • Introduction to different methods for analysis of reliability data.

Learning outcome

After completing the course the student shall:

Knowledge:

  • have basic knowledge about basic methods and the theory behind commonly used techniques in reliability analysis.

Skills:

  • be able to develop relevant expressions and apply basic theory (concepts, methods/techniques and models) in reliability analysis. 

General competence:

  • general competence on use of reliability analysis in risk and safety management.

Required prerequisite knowledge

None

Recommended prerequisites

STA500 Probability and Statistics 2, STA510 Statistical Modeling and Simulation

Exam

Form of assessment Weight Duration Marks Aid
Written exam 1/1 4 Hours Letter grades Valid calculator

The exam is written with penn and paper. 

Course teacher(s)

Course coordinator:

Jon Tømmerås Selvik

Head of Department:

Tore Markeset

Method of work

Lectures, 2-3 hrs per week. Lectures in English

Problem solving (individual or in groups)

Overlapping courses

Course Reduction (SP)
Reliability Analysis (MOS190_1) 10

Open for

Admission to Single Courses at the Faculty of Science and Technology
Computer Science - Master of Science Degree Programme Industrial Economics - Master of Science Degree Programme Industrial Economics - Master of Science Degree Programme, Five Year Structural and Mechanical Engineering - Master of Science Degree Programme Industrial Asset Management - Master of Science Degree Programme Marine and Offshore Technology - Master of Science Degree Programme Petroleum Engineering - Master of Science Degree Programme Risk Analysis - Master of Science Degree Programme Societal Safety - Master's Degree Programme
Exchange programme at Faculty of Science and Technology

Admission requirements

Must meet the admission requirements of one of the study programmes the course is open for.

Course assessment

The faculty decides whether early dialogue will be held in all courses or in selected groups of courses. The aim is to collect student feedback for improvements during the semester. In addition, a digital course evaluation must be conducted at least every three years to gather students’ experiences.

Literature

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