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Last modified: 31 Jul 2023 11:19

Course Overview

The aim of this course is to get an understanding of applied probability and statistics. Students will be able to handle variables of a random nature, deal with parameters of different distributions and data of scattering nature.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
  • Dr Srinivas Sriramula

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme (Studied)
  • Engineering (EG) (Studied)

What other courses must be taken with this course?


What courses cannot be taken with this course?

  • EG5012 Stats for Safety (Studied)

Are there a limited number of places available?


Course Description

This course provides mathematical foundation of the probabilistic analysis of random variables. The course is an extension to the undergraduate level of the subject. This course is a pre-requisite for the module on Advanced Methods for Risk and Reliability Assessment.

The following modules will be covered in the course:

1. Revision of elementary concepts in statistics and probability.

2. Important uni-variate distributions.

3. The bi-variate and multi-variate normal distribution.

4. Parameter estimation and goodness-of-fit.

5. Analysis of statistical data.

6. Treatment of outliers.

7. Analysis of variance.

8. Introduction to continuous and discrete stochastic processes.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers

Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Timed online test (50%)

Timed online test (30%)

Lab report (20%)

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualRememberILO’s for this course are available in the course guide.

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