Advanced Differential Equations

Course code MATH3700Units 10Level 3000Faculty of Science and Information TechnologySchool of Mathematical and Physical Sciences

This course introduces students to the modern theory and methods of ordinary and partial differential equations. It builds on the classical foundations of differential equations studied in second year. Ordinary and partial differential equations form an essential part of the mathematical background required for engineering and the physical sciences. A large number of real-life problems can be modelled using differential equations, making the subject one of the most widely applicable areas of mathematics. The course concentrates on some fundamental analytical and numerical methods for applied differential equations arising from the mathematical modelling of physical, chemical and biological systems.

Available in 2014

Callaghan CampusSemester 2
Previously offered in 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004
ObjectivesOn successful completion of this course, students will:
1. Have a broad overview of ordinary and partial differential equations as well as an appreciation of the application of analysis and linear algebra in studying differential equations.
2. Have the skills to build mathematical models of relevant real-world problems based on differential equations.
3. Be able to solve these differential equations using appropriate computer software if necessary, and to interpret the solutions.
4. Understand the concepts of accuracy, consistency, stability and convergence of numerical schemes for solving differential equations.
Content(1) Ordinary Differential Equations
(a) Existence and uniqueness theory for ordinary differential equations
(b) Stability theory for linear and nonlinear ordinary differential equations
(c) Stability and convergence of numerical techniques, and numerical schemes for stiff ordinary differential equations

(2) Partial Differential Equations
(a) Modelling with partial differential equations
(b) Classical solution techniques and weak solutions
(c) Numerical methods for partial differential equations
Replacing Course(s)n/a
Transitionn/a
Industrial Experience0
Assumed KnowledgeMATH2800 and MATH2320
or
MATH2470 and MATH2320
Modes of DeliveryInternal Mode
Teaching MethodsLecture
Assessment Items
Essays / Written Assignments
Examination: Formal
Quiz - Class
Contact HoursLecture: for 3 hour(s) per Week for Full Term
Timetables2014 Course Timetables for MATH3700