MATH3051 is a Mathematical Level III course. See the course overview below.
Units of Credit: 6
Prerequisites: 12 UOC of second year mathematics courses, including MATH2011 or MATH2111 or MATH2069 (DN).
Cycle of offering: Term 3
Graduate attributes: The focus of this course is developing an awareness of the topics listed in the syllabus so that the theory can be used in applications. Proofs in the course will focus on facilitating familiarity with key objects and the use of these objects in proofs, rather than providing complete proofs of all major theorems. For example, a proof of a lemma that illustrates how objects are used would take precedence over the full proof of a well-known theorem
More information: The Course outline will be made available closer to the start of term - please visit this website: www.unsw.edu.au/course-outlines
Please note the following recent changes to the programs 3956 and 3962, in Applied Mathematics.
1. From 2022 there will be 3 new courses:
2. From 2024 all level 3 students in Applied Maths should note that MATH3051 and MATH3041 will be one of two possible core courses.
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 course aims to provide students in Applied Mathematics with basic knowledge of Real Analysis and Functional Analysis, particularly topics that are useful for the study of many other Applied Mathematics courses.
The aim of this course is to provide students in Applied Mathematics with basic knowledge of Real Analysis and Functional Analysis, particularly topics that are useful for the study of many other Applied Mathematics courses. In any area of applied research, methods should not be learnt as a black box. Understanding the theory behind the methods requires some abstract mathematics, and this forms the contents of this course.