Postgraduate Programme and Module Handbook 2023-2024 (archived)
Module MATH44320: Advanced Probability Theory
Department: Mathematical Sciences
MATH44320: Advanced Probability Theory
| Type | Tied | Level | 4 | Credits | 20 | Availability | Available in 2023/24 | Module Cap | None. |
|---|
| Tied to | G1K509 |
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Prerequisites
- None
Corequisites
- None
Excluded Combination of Modules
- None
Aims
- To explore in depth fundamental probabilistic systems in both discrete and continuous settings. To introduce one or two contemporary topics in probability theory and to develop and apply them.
Content
- In Term 1: Order statistics; Coin tossing and trajectories of random walks; Brownian motion.
- In Term 2, one or two of the following topics will run each year: Random graphs and probabilistic combinatorics; Random walks in space; Geometric probability; Random matrix theory; Probability and phase transition; Conformally invariant probability; Interacting particle systems.
Learning Outcomes
Subject-specific Knowledge:
- By the end of the module students will:
- be able to solve seen and unseen problems on the given topics.
- Have a knowledge and understanding of this subject demonstrated through an ability to analyse the behaviour of the probabilistic systems explored in the course.
- Reproduce theoretical mathematics concerning probabilistic systems at a level appropriate, including key definitions and theorems.
Subject-specific Skills:
- In addition students will have enhanced mathematical skills in the following areas: probabilistic intuition.
Key Skills:
- Students will have highly specialised skills in the following areas: problem solving, abstract reasoning, modelling, computation.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- Lectures demonstrate what is required to be learned and the application of the theory to practical examples.
- Problem classes show how to solve example problems in an ideal way, revealing also the thought processes behind such solutions.
- Formative assessments provide feedback to guide students in the correct development of their knowledge and skills in preparation for the summative assessment.
- The end-of-year examination papers assess the knowledge acquired and the ability to solve predictable and unpredictable problems.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total/Hours | |
|---|---|---|---|---|---|
| Lectures | 42 | 2 per week in Michaelmas term; 2 per week in Epiphay term; 2 in week 21 | 1 hour | 42 | |
| Problems classes | 8 | Fortnightly in Michaelmas and Epiphany | 1 hour | 8 | |
| Preparation & reading | 150 | ||||
| Total | 200 |
Summative Assessment
| Component: Examination | Component Weighting: 100% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| End of year written examination (Paper 1) | 2 hours | 50% | |
| End of year written examination (Paper 2) | 2 hours | 50% | |
Formative Assessment:
Four assignments per term.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University