Mathematical Sciences Institute · ANU College of Systems and Society
This course shows the modelling process in the context of differential equations and case studies from a number of areas such as population dynamics, economics, electric circuits, mechanical systems, fluid flow, physics and astrophysics. Analytic methods from the elementary theory of differential equations and calculus will be provided to allow for the analysis of the various models being investigated. The numerical package MATLAB will be used to study model behaviour and to obtain deeper understanding of the consequences of analytical studies. Topics to be covered include the following: First order differential equations; second order linear equations; systems of first order equations; nonlinear differential equations; power series solutions. Advanced Vector Calculus: curves and surfaces in three dimensions; parametric representations; curvilinear coordinate systems; surface and volume integrals; gradient, divergence and curl; identities involving vector differential operators; Green's theorem, Stokes' theorem and the divergence theorem. Note: This course is co-taught with MATH2305 but students are assessed separately.
Exams
Learning outcomes 1, 2, 3, 4
Workshop participation and presentations
Learning outcomes 1, 2, 3, 4
Assignments
Learning outcomes 1, 2, 3, 4, 5
Online Homework (MATLAB Grader)
Learning outcomes 1, 2, 3, 4
Written report
Learning outcomes 1, 2, 3, 4, 5
The expected workload will consist of approximately 130 hours throughout the semester including: - Face-to face component which may include 2 hours of lectorials or 4 hours of lectures per week and up to 20 hours of workshops throughout the semester. - Approximately 67 hours of self-directed study throughout the semester, including weekly MATLAB Grader homework and other assessment tasks
- Dennis G. Zill, A First Course in Differential Equation with Modelling Applications. - James Stewart, Essential Calculus (the same textbook used in MATH1013 and MATH1014).