Entry requirements

Single Variable Calculus.

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 random 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 applications of probability and statistics.

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. Applications, selected examples.

Instruction

Lectures, lessons and computer sessions.

Assessment

Written examination at the end of the course combined with discussions tasks.