MATH5361 Stochastic Differential Equations: Theory, Applications and Numerical Methods is a Honours and Postgraduate Coursework Mathematics course. See the course overview below.
Units of credit: 6
Exclusion: MATH3361 (jointly taught with MATH5361)
Cycle of offering: Term 3
Graduate attributes: The course will enhance your research, inquiry and analytical thinking abilities.
More information: The Course outline is linked within the course offering table for the term applicable. NB: Outlines will be made available closer to the start of term.
Course outlines contain information about course objectives, assessment, course materials and the syllabus.
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.
If you are currently enrolled in MATH5361, you can log into UNSW Moodle for this course.
The course aims to provide a broad overview of Data Science and would provide a platform for further studies in Data Science and an understanding and appreciation of Data Science in the modern world.