MT2504 Combinatorics and Probability
Academic year
2024 to 2025 Semester 1
Curricular information may be subject to change
Further information on which modules are specific to your programme.
Key module information
SCOTCAT credits
15
SCQF level
SCQF level 8
Planned timetable
11am Mondays (Odd) and Wednesdays and Fridays
Module Staff
Dr Finn Smith
Module description
This module provides an introduction to the study of combinatorics and finite sets and also the study of probability. It will describe the links between these two areas of study. It provides a foundation both for further study of combinatorics within pure mathematics and for the various statistics modules that are available. It is recommended that students in the Faculties of Arts and Divinity take an even number of the 15-credit 2000-level MT modules.
Relationship to other modules
Pre-requisites
BEFORE TAKING THIS MODULE YOU MUST PASS MT1002,IF MT1002 HAS NOT BEEN PASSED, A AT ADVANCED HIGHER MATHEMATICS OR A AT A-LEVEL FURTHER MATHEMATICS
Assessment pattern
2-hour Written Examination = 70%, Coursework = 30%
Re-assessment
2-hour Written Examination = 100%
Learning and teaching methods and delivery
Weekly contact
2.5 hours of lectures (x 10 weeks), 1-hour tutorial (x 4 weeks), 1-hour examples class (x 5 weeks)
Scheduled learning hours
34
Guided independent study hours
116
Intended learning outcomes
- Identify, prove, and apply relevant formulae from lectures to solve problems involving counting sets, functions, permutations, tuples and multisets, and problems involving recursively-defined sequences
- State the axioms of probability. Calculate elementary probabilities, including conditional probabilities, appropriately use rules of probability, and be able to work with the concept of independence
- Define a random variable and associated distribution functions. Understand and work with discrete and continuous distributions to calculate probabilities, expectations and variances. State and apply the uniqueness theorem for probability and moment generating functions
- Demonstrate an understanding of multivariate distributions and associated distribution functions. Define and calculate expectations, variance, covariance and correlation for multiple random variables
- Demonstrate computational skills in Python through programming basic combinatorial procedures, and be able to apply these to a range of combinatorial and probabilistic problems
Additional information from school
For guidance on module choice at 2000-level in Mathematics and Statistics please consult the School Handbook, at https://www.st-andrews.ac.uk/mathematics-statistics/students/ug/module-choices-2000/