MATH5271 is available to Honours, Graduate Diploma and Masters programs in Mathematics, Statistics, Data Science, and Physical Oceanography.
Units of credit: 6
Pre-requisite: 12 units of credit in Level 2 Maths courses including (MATH2501 or MATH2601) and (MATH2801 or MATH2901), or (both MATH2019/8 and MATH2089), or (both MATH2069 and MATH2099) or equivalent. Some computing experience (R, Fortran, Maple, Matlab, and/or Python) is strongly recommended.
Cycle of offering: T3 2021
Graduate attributes: This course is a graduate level overview of the applications of data science in an environmental context. Although applications and motivations will be drawn primarily from the ocean, atmospheric and climate sciences, the material covered will apply generally across various environmental and non-environmental science and industry areas.
A key distinction between this course and other data science offerings within the School of Mathematics and Statistics is an emphasis on practical real-world problems.
More information: Refer to the Course Outline for information about course objectives, assessment, course materials and the syllabus.
The Online Handbook entry contains 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 MATH5271, you can log into UNSW Moodle for this course.
Course Overview: The course will enhance your research, inquiry and analytical thinking abilities. These include practical approaches to data handling and quality control, consideration of real world examples of good and bad data science practice, the application of various statistical methods to real world data sets, the integration of statistical approaches with physically based forecast methods, and a project component involving independent exploration and exposition of cutting edge machine learning methods.