Course

Reliability Analysis (RIS510)

Facts

Course code RIS510

Credits (ECTS) 10

Semester tution start Spring

Language of instruction English

Number of semesters 1

Exam semester Spring

Time table View course schedule

Literature Search for literature in Leganto

Introduction

Basic concepts and techniques in reliability analysis are introduced.

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

Probability and Statistics 2 (STA500), Statistical Modeling and Simulation (STA510)

Exam

Written exam

Weight 1/1

Duration 4 Hours

Marks Letter grades

Aid Valid calculator

The exam is written with penn and paper.

Method of work

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

Problem solving (individual or in groups)

Open for

Admission to Single Courses at Master Level at the Faculty of Science and Technology
Computer Science - Master Industrial Economics - Master Industrial Economics - Master Structural and Mechanical Engineering - Master Industrial Asset Management - Master Marine and Offshore Technology - Master Petroleum Engineering - Master Risk Analysis - Master
Exchange programme at The 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.

Contact

Head of Department:
Tore Markeset
Course coordinator:
Jon Tømmerås Selvik

Offered by

Faculty of Science and Technology

Department of Safety, Economics and Planning

The course description is retrieved from FS (Felles studentsystem). Version 1