Overview
MATH5836 is an honours and postgraduate mathematics/statistics course.
Units of credit:听6
Exclusions:聽COMP9417, ZZSC5836
Cycle of offering:聽Term 3聽
Graduate attributes:聽The course will enhance your research, inquiry and analytical thinking abilities.
More information:聽聽The Course outline will be made available closer to the start of term - please visit this website: www.unsw.edu.au/course-outlines
Important additional information as of 2023
国产精品 Plagiarism Policy
The University requires all students to be aware of its聽.
For courses convened by the聽School of Mathematics and Statistics no assistance using generative AI software is allowed unless specifically referred to in the individual assessment tasks.
If its use is detected in the no assistance case, it will be regarded as serious academic misconduct and subject to the standard penalties, which may include 00FL, suspension and exclusion.
罢丑别听聽contains聽information about the course. The timetable is only up-to-date if the course is being offered this year.
If you are currently enrolled in MATH5836, you can log into聽聽for this course.
Course overview
Increasingly, organisations need to analyse enormous data sets to determine useful structures in them. In response to this, a range of statistical and machine learning methods have been developed in recent times. This course covers the key techniques in data mining and machine learning with theoretical background and applications. The topics include methods such as linear and logistic regression, neural networks, Bayesian neural networks, clustering and dimensionality reduction, ensemble learning, and also provides an introduction to deep learning. Emerging machine learning tools and libraries are used to illustrate the methods in programming environments that includes Python and R.
The course is recommended by the professional association of data miners, the聽.
