MATH5371 is a Honours and Postgraduate Coursework Mathematics course.
Units of credit: 6
Exclusion courses: MATH3371 - jointly taught
Cycle of offering: Term 1 2023
More information: The Course outline will be made available closer to the start of term - please visit this website: https://www.unsw.edu.au/course-outlines
Important additional information as of 2023
The University requires all students to be aware of its policy on plagiarism.
For courses convened by the 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.
The Online Handbook entry contains information about the course timetable.
If you are currently enrolled in MATH5371, you can log into UNSW Moodle for this course.
Algorithms from numerical linear algebra are ubiquitous in scientific and statistical software. The theoretical component of the course aims to impart an understanding of how these algorithms work as well as an appreciation of their potential limitations. Familiar pencil-and-paper methods suitable for solving small problems by hand calculation must typically be modified or replaced by different approaches when faced with large problems whose solution is feasible only with the help of a computer.
To illustrate the applications of numerical linear algebra, a variety of examples from statistics, data science and applied mathematics are described. The course includes a substantial computing component providing practical experience with widely used software libraries.