Aims and Fit of Module

To introduce topics in Probability and Statistics and to describe and discuss the potential scope of their applications.
To present the basic concepts and results in Random Processes.
To train the students' ability to think logically and independently and to acquire the skills of problem solving.

Learning outcomes

A. know how to describe statistical data;
B. use the Binomial, Geometric, Poisson, Exponential, Raleigh and Normal distributions;
C. have a good understanding of the basic concepts related to Gaussian random variables,
D. have a good understanding of the Law of large numbers and Central Limit Theorem;
E. have a good understanding of the basic concepts related to Poisson Process, correlation
function, stationarity and ergodicity.

Method of teaching and learning

This module will be delivered by a combination of formal lectures, problem classes, case studies and revision seminars.