Overview
Offerings
Requisites
Contacts
Chief Examiner(s)
Notes
This unit is only available to students enrolled in Monash Online.
Learning outcomes
apply discrete mathematical structures, especially graphs and trees to solve problems in computer science.
apply propositional logic and predicate logic to problem-solving and set theory to represent collections of data to solve real-life problems.
demonstrate an understanding of the fundamentals of continuous probability and statistics, including common Probability Distributions, Bayes’ Theorem and parameter estimation.
describe the fundamental concepts relating to linear algebra such as linear functions, vectors, and matrices.
demonstrate skills and understanding on calculus, partial derivatives, differentiation, integration, gradients and gradient algorithms.
demonstrate understanding on the fundamental concepts in information theory such as entropy, encoding, decoding and data compression.