Mathematical topics fundamental to computing and statistics including trees and other graphs, counting in combinatorics, principles of elementary probability theory, linear algebra, and fundamental concepts of calculus in one and several variables.
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled activities. Scheduled activities may include a combination of teacher directed learning and online engagement.
Explain fundamental concepts in calculus including basic differentiation and integration, and composite, inverse and parametric functions;
Use trees and graphs to solve problems in computer science;
Demonstrate basic knowledge and skills of linear algebra, including the manipulation of matrices, solution of linear systems, and evaluate and apply determinants;
Describe the principles of elementary probability theory, evaluate conditional probabilities and use Bayes' Theorem;
Apply counting principles in combinatorics;
Perform key skills in the calculus of functions of several variables including the calculation of partial derivatives, find tangent planes and identify stationary points, root findings and convexity for optimisation.
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