Use the Tab and Up, Down arrow keys to select menu items.
An introduction to various topics including combinatorial optimisation, enumeration, and set systems.
Discrete mathematics underpins many areas of modern-day science. In MATH320, we explore selected topics in discrete mathematics in greater depth and detail. In particular, we investigate some technical methods that allow for elegant solutions to more advanced enumeration questions, and explore the structural properties of directed graphs and partially-ordered sets (posets). Topics covered:Term 1: Combinatorial enumeration:Binomial identities and direct enumeration. Principle of Inclusion and Exclusion; Generating functions (ordinary and exponential). Lagrange inversion and applications. Term 2: Directed graphs and posets:Basic Ramsey theory, theory of directed graphs (structural results, algorithms, algebraic methods, phase transitions) and partially-ordered sets (Möbius inversion, Dilworth Theorem).
Understanding of a range of concepts in combinatorics and the ability to express this clearly in your own words.Ability to devise and write up rigorous mathematical proofs of combinatorial results.Ability to apply general theory to particular examples and problems.
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
Engaged with the community
Students will have observed and understood a culture within a community by reflecting on their own performance and experiences within that community.
30 points from MATH201, MATH202, MATH203, MATH220, MATH240, EMTH210, EMTH211.
MATH333, MATH334
Mike Steel
Charles Semple
General information for students Library portal LEARN
Domestic fee $802.00
International fee $4,563.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
This course will not be offered if fewer than 15 people apply to enrol.
For further information see Mathematics and Statistics .