Differential Equations for Engineers

Subject MAST30023 (2010)

Note: This is an archived Handbook entry from 2010.

Credit Points: 12.50
Level: 3 (Undergraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2010:

Semester 1, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable

Lectures and practice classes.

Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 3 x one hour lectures per week, 1 x one hour practice class per week
Total Time Commitment: Estimated total time commitment of 120 hours
Prerequisites: One of
Corequisites: None
Recommended Background Knowledge: None
Non Allowed Subjects:

Students may only gain credit for one of

  • 620-326 Differential Equations for Engineers
  • 620-293 Engineering Mathematics
  • 620-232 Mathematical Methods (prior to 2010)
  • 620-234 Mathematical Methods Advanced (prior to 2009)
  • 431-202 Engineering Analysis B (prior to 2009).

Students who have completed 620-331 Applied Partial Differential Equations may not enrol in this subject for credit.

Students may only gain credit for one of

Core Participation Requirements: It is University policy to take all reasonable steps to minimise the impact of disability upon academic study and reasonable steps will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact upon their active and safe participation in a subject are encouraged to discuss this with the relevant subject coordinator and the Disability Liaison Unit.

Coordinator

Dr Christine Mangelsdorf

Contact

Third Year Coordinator

Email: tycoord@ms.unimelb.edu.au

Subject Overview:

This subject introduces important mathematical methods required in engineering. Systems of ordinary differential equations and first order (linear and nonlinear) and second order linear partial differential equations are solved by a variety of methods and their solution behaviour is interpreted. The subject introduces the ideas of Laplace transforms, phase plane and stability, method of characteristics, Fourier series, eigenfunctions and eigenvalues and separation of variables.

Topics include: Laplace transforms; systems of linear and nonlinear first order ordinary differential equations including phase plane; first order linear and quasilinear partial differential equations including the method of characteristics, fans and shocks; classification of second order partial differential equations; method of characteristics for hyperbolic partial differential equations, method of separation of variables and eigenfunction expansion.

Objectives:

On completion of this subject students should be able to:

  • solve ordinary differential equations using Laplace transforms
  • determine phase plane portraits for linear and nonlinear systems of ordinary differential equations
  • determine convergence and divergence of sequences and series
  • represent suitable functions using Fourier series
  • solve first order partial differential equations using the method of characteristics
  • solve second order hyperbolic partial differential equations using the method of characteristics
  • solve second order partial differential equations using separation of variables and Laplace transforms
Assessment:

Three or four written assignments due at regular intervals during semester amounting to a total of up to 50 pages (20%), and a 3-hour written examination in the examination period (80%).

Prescribed Texts: None
Recommended Texts:

E Kreysig, Advanced Engineering Mathematics, 9th Ed. Wiley, 2006.

Breadth Options:

This subject potentially can be taken as a breadth subject component for the following courses:

You should visit learn more about breadth subjects and read the breadth requirements for your degree, and should discuss your choice with your student adviser, before deciding on your subjects.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:

In addition to learning specific mathematical skills students will have the opportunity to develop generic skills that will assist them in any future career path. These include

  • problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
  • analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of the analysis;
  • collaborative skills: the ability to work in a team;
  • time management skills: the ability to meet regular deadlines while balancing competing tasks;
  • computer skills: the ability to use mathematical computing packages.
Notes: This subject is available for science credit to students enrolled in the BSc (both pre-2008 and new degrees), BASc or a combined BSc course.
Related Course(s): Bachelor of Science

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