Syllabus for Statistics for Engineers

Learning outcomes

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

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

be able to compute probabilities in simple cases;

have a basic knowledge of stochastic variables and some common probability distributions;

understand the meaning of the central limit theorem;

have developed an intuitive understanding of randomness and random behaviour;

understand the use of point and interval estimates for some typical statistical problems;

know the method of regression for fitting measured data;

be aware 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 and problem solving sessions.

Assessment

Written examination at the end of the course. Moreover, compulsory assignments may be given during the course.