Syllabus for Statistics for Engineers

Learning outcomes

In order to pass the course (grade 3) the student should be able to

use a number of methods and techniques for visualisation of data sets;

compute probabilities in simple cases;

give an account of the concept stochastic variable and be able to use some common probability distributions;

understand the meaning of the central limit theorem;

use point and interval estimates for some typical statistical problems;

apply elementary regression for fitting measured data;

give an account of some typical engineering applications of probability and statistics, e.g. reliability and quality control.

Content

Descriptive statistics: measures of location and variation, frequency tables, bar diagrams, histograms, other diagrams and tools for visualisation. Introductory combinatorics and probability theory. Probability distributions: binomial, Poisson, normal, exponential. Central limit theorem. Point and interval estimation. The method of regression. Engineering applications, selected examples.

Instruction

Lectures, lessons and problem solving sessions.

Assessment

Written examination at the end of the course. Moreover, compulsory assignments may be given during the course in accordance with instructions at course start.

Other directives

The course may very well be taught together with the course Study Technique for Engineers.