MTH4153 · Combinatorics

Overview

Combinatorics is the study of arrangements and combinations of discrete objects. Combinatorial problems arise in many areas of pure mathematics, (e.g. algebra, probability, topology, and geometry), and in many applied areas as well (e.g. communications, operations research, experiment design, genetics, statistical physics etc). This unit will cover a selection of topics from the following list: combinatorial enumeration, ordinary and exponential generating functions, asymptotic enumeration, counting via matrix functions or group actions, the principle of inclusion-exclusion, Mobius inversion, permutations, partitions, compositions, combinatorial designs, Latin squares, Steiner triple systems, block designs, Hadamard matrices, finite geometries, algebraic combinatorics, strongly regular graphs, symmetric functions, Young tableaux, additive combinatorics and combinatorial geometry.

Areas of study: Master of Mathematics

Offerings

The Handbook publishes no offerings for this unit.

Assessment

The Handbook lists an examination for this unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. Formulate complex problems using appropriate combinatorial terminology.
2. Demonstrate a profound understanding of the benefits and challenges unique to working with discrete mathematical objects.
3. Recognise certain features of combinatorial problems which indicate their level of difficulty.
4. Apply sophisticated combinatorial arguments in a variety of settings.
5. Appreciate the role of combinatorics in other areas of mathematics.
6. Understand several real-world applications of combinatorics.

Workload

• 3 hours of seminars; • 1-hour applied session and • 8 hours of independent study per week.

Student experience, not official rules. Nothing here changes what the Handbook says.