Advanced Methods: Differential Equations
Subject MAST90064 (2014)
Note: This is an archived Handbook entry from 2014.
Credit Points: | 12.50 |
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Level: | 9 (Graduate/Postgraduate) |
Dates & Locations: | This subject is not offered in 2014. |
Time Commitment: | Contact Hours: One 2-hour lecture per week and one 1-hour practice class per week. Total Time Commitment: 3 contact hours and 7 hours private study per week. |
Prerequisites: | The following subject, or equivalent: Subject Study Period Commencement: Credit Points: |
Corequisites: | None |
Recommended Background Knowledge: |
It is recommended that students have completed a subject in real analysis. Completion of, or concurrent enrolment in, a subject in complex analysis may also be helpful. |
Non Allowed Subjects: | None |
Core Participation Requirements: |
For the purposes of considering requests for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements for this entry. The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/ |
Contact
Email: kerryl@unimelb.edu.au
Subject Overview: |
This subject develops the mathematical methods of applied mathematics and mathematical physics with an emphasis on ordinary differential equations. Both analytical and approximate techniques are used to determine solutions of ordinary differential equations. Exact solutions by localised series expansion techniques of second-order linear ordinary differential equations and Sturm-Liouville boundary value problems are explored. Special functions are introduced here. Regular and singular perturbation expansion techniques, asymptotic series solutions, dominant balance, and WKB theory are used to determine approximate solutions of linear and nonlinear differential equations. Throughout, the theory is set in the context of examples from applied mathematics and mathematical physics such as nonlinear oscillators, boundary layers and dispersive phenomena. |
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Learning Outcomes: |
After completing this subject students should:
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Assessment: |
Up to 50 pages of written assignments (40%: two assignments worth 20% each, due mid and late in semester), a 3-hour written examination (60%, in the examination period). |
Prescribed Texts: | None |
Recommended Texts: |
Bender C. M. and S. A. Orszag. Advanced mathematical methods for scientists and engineers: Asymptotic methods and perturbation theory. Springer. 1999. |
Breadth Options: | This subject is not available as a breadth subject. |
Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
Generic Skills: |
In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:
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Related Course(s): |
Master of Philosophy - Engineering Master of Science (Mathematics and Statistics) Ph.D.- Engineering |
Related Majors/Minors/Specialisations: |
Mathematics and Statistics |
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