TMA4275 - Lifetime Analysis


Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letters

Evaluation Weighting Duration Grade deviation Examination aids
Work 20/100
School exam 80/100 4 hours C

Course content

Basic concepts in lifetime modelling. Censored observations. Nonparametric estimation and graphical plotting for lifetime data (Kaplan-Meier, Nelson-Aalen plot). Estimation and testing in parametric lifetime distributions. Analysis of lifetimes with covariates (Cox-regression, accelerated lifetime testing). Modelling and analysis of recurrent events. Nonhomogeneous Poisson-processes. Nelson-Aalen estimators.

Learning outcome

1. Knowledge. The student has a thorough knowledge of the basic theory of stochastic modelling and statistical analysis of survival data, with emphasis on graphical techniques. This includes both parametric and non-parametric analysis of censored survival data and data for recurrent events, as well as related regression models, such as Cox regression. The graphical techniques include the Kaplan-Meier plot, the Nelson-Aalen plot and simple plots for model checking. 2. Skills. The student is able to apply his or her knowledge on various situations from technical reliability analysis, risk analysis, medicine and other relevant applications, involving the concept of survival in a broad sense. Such applications include the establishment of an appropriate model, data analysis using statistical software, and formulation of conclusions in the form of estimates, predictions and practical advice.

Learning methods and activities

Lectures, exercises and works (projects). Portfolio assessment is the basis for the grade awarded in the course. This portfolio comprises a written final examination (80%) and works (projects) (20%). The results for the constituent parts are to be given in %-points, while the grade for the whole portfolio (course grade) is given by the letter grading system. Retake of examination may be given as an oral examination. The lectures may be given in English. If the course is taught in English, the exam may be given only in English. Students are free to choose Norwegian or English for written assessments.

Compulsory assignments

  • Work

Further on evaluation

In the case that the student receives an F/Fail as a final grade after both ordinary and re-sit exam, then the student must retake the course in its entirety. Submitted work that counts towards the final grade will also have to be retaken. For more information about grading and evaluation. see «Teaching methods and activities».

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Course materials

To be announced at the start of the course.

Credit reductions

Course code Reduction From To
SIF5075 7.5
More on the course

Version: 1
Credits:  7.5 SP
Study level: Second degree level


Term no.: 1
Teaching semester:  SPRING 2022

Language of instruction: English, Norwegian

Location: Trondheim

Subject area(s)
  • Industrial Economics
  • Statistics
  • Technological subjects
Contact information
Course coordinator:

Department with academic responsibility
Department of Mathematical Sciences


Examination arrangement: Portfolio assessment

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD Work 20/100 INSPERA
Room Building Number of candidates
Spring ORD School exam 80/100 C 2022-06-07 09:00 INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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