MA2PT1-Probability Theory I

Module Provider: Mathematics and Statistics
Number of credits: 10 [5 ECTS credits]
Level:5
Terms in which taught: Autumn / Summer term module
Pre-requisites: MA1FM Foundations of Mathematics and ST1PS Probability and Statistics
Non-modular pre-requisites:
Co-requisites:
Modules excluded: ST2PST Probability and Statistical Theory
Current from: 2020/1

Module Convenor: Dr Jeroen Wouters

Email: j.wouters@reading.ac.uk

Type of module:

Summary module description:
The module rigorously introduces basic concepts of probability from a mathematical perspective. It aims to equip the students with a basic knowledge in probability which will reveal the interplay between probability theory and fundamental areas of mathematics, will allow students to formulate general real or abstract problems in a probabilistic model and will unravel the fundamentals which statistical methods are built on. In more detail the module will be developed around the concepts of probability distributions, random variables, independence, sums of random variables, limit laws and their application (Central Limit Theorem and laws of large numbers), and structures that depend on the present to study the future evolution of stochastic phenomena (Markov chains).

Aims:
This module aims to introduce students to some of the fundamental concepts and results of probability. It covers random variables together with probability distributions as the fundamental objects of probability theory, the concept of dependence/independence, which lead then to fundamental asymptotic results as well as a first introduction of stochastic processes such as Markov chains.

Assessable learning outcomes:

By the end of the module the students are expected to be able to:

• Identify and demonstrate understanding of the main concepts and definitions in probability theory;

• Without the help of notes to state all and prove some of the main results;

• Identify and formulate problems in terms of probability and solve them to build up a simple stochastic model;

• Use the main results to do various appr oximations.

Additional outcomes:
At the end of the module students will have some insight in the interrelation between other maths modules and probability and their relevance for applications.

Outline content:

Random variables with uniform distribution, continuous and discrete, distributions with densities and weights, expectation of random variables, the concept of independence, sums of independent random variables, concepts of convergence of random variables, dependent random variables and conditional distributions, Markov chains.

Brief description of teaching and learning methods:
Lectures, supported by problem sheets and lecture-based tutorials.

Contact hours:

Ìý	Autumn	Spring	Summer
Lectures	20		2
Tutorials	10
Guided independent study:	68
Ìý	Ìý	Ìý	Ìý
Total hours by term	98		2
Ìý	Ìý	Ìý	Ìý
Total hours for module	100

Summative Assessment Methods:

Method	Percentage
Written exam	70
Set exercise	30

Summative assessment- Examinations:

2 hours.

Summative assessment- Coursework and in-class tests:
Two assignments and one examination

Formative assessment methods:
Problem sheets.

Penalties for late submission:

The Module Convenor will apply the following penalties for work submitted late:

• where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day[1] (or part thereof) following the deadline up to a total of five working days;
• where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

The University policy statement on penalties for late submission can be found at:
You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

Assessment requirements for a pass:

A mark of 40% overall.

Reassessment arrangements:
One examination paper of 2 hours duration in August/September - the resit module mark will be the higher of the exam mark (100% exam) and the exam mark plus previous coursework marks (70% exam, 30% coursework).

Additional Costs (specified where applicable):
1) Required text books:
2) Specialist equipment or materials:
3) Specialist clothing, footwear or headgear:
4) Printing and binding:
5) Computers and devices with a particular specification:
6) Travel, accommodation and subsistence:

Last updated: 4 April 2020