Mathematical Sciences Institute · ANU College of Systems and Society
This course continues on from MATH1115, providing an in-depth development of fundamental concepts of calculus and linear algebra, with a particular emphasis on the underlying foundations of mathematics. The use and understanding of proof and abstract ideas will allow students to develop analytical skills which will form a base for further study in fundamental mathematics, as well as providing a foundation for a wide range of quantitative areas such as actuarial studies, computer science, economics, engineering, physics and statistics. Topics to be covered include: Calculus/Analysis – sequences and series, convergence tests, power series, Taylor series, a short introduction to metric spaces in the context of the calculus of functions of several variables, generalisation of the real analysis theory studied in MATH1115 to multivariable functions including limits and continuity, double integrals, Fubini's theorem, integrability of continuous functions, partial derivatives, gradients and directional derivatives, differentiation of multivariable functions, extreme values, vector-valued functions. Linear Algebra – subspaces, span, linear independence, bases and dimension, linear maps, duality, eigenvalues and eigenvectors, inner product spaces, Gram-Schmidt orthogonalisation, operators on inner product spaces, the spectral theorem in finite dimensions, singular value decomposition. Note: This is an Honours Pathway Course. It involves extra material and emphasises the use and understanding of proof and abstract ideas to a deeper conceptual level than MATH1014.
In-workshop assessment (0-5%)
Learning outcomes 1, 2, 3, 4
Assignments and online quizzes (25-30%)
Learning outcomes 1, 2, 3, 4
Tests during the semester (25-35%)
Learning outcomes 1, 2, 3, 4
Final examination (35-45%)
Learning outcomes 1, 2, 3, 4
The expected workload will consist of approximately 130 hours throughout the semester including: - Lecture component which may consist of an average of approximately 4 x 1-hour lectures per week (a combination of in-person and pre-recorded online lectures for a total of 52 hours over the 12 weeks of teaching). - 10 x 1.5 hour workshops held in 10 of the 12 teaching weeks (A total of 15 hours of workshop time). - Approximately 63 hours of self-study per semester which will include preparation for lectures, tests, quizzes and other assessment tasks.
Linear Algebra Done Right (3rd edition) by Sheldon Axler. Course notes and/or references for the analysis side of the course will be provided on the MATH1116 course site in the Learning Management System during the semester. Preliminary Reading For the analysis side of the course, a portion of the content will require students to become familiar with various multi-variable calculus techniques. Some of the chapters in Essential Calculus (2nd edition) by James Stewart are used in MATH1014 as a reference for multi-variable calculus, and they are a recommended (but not compulsory) additional resource for MATH1116.