Note: This is an archived Handbook entry from 2012.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2012:Semester 1, Parkville - Taught on campus.
Lectures and computer laboratory classes.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 2 x one hour lectures and 1 x two hour computer laboratory class per week for the first 6 weeks of semester. 1 x one hour lecture, 1 x two hour computer laboratory class and 1 x one hour computer laboratory class per week for the last 6 weeks of semester. |
Total Time Commitment: Estimated total time commitment of 120 hours
Study Period Commencement:
Semester 1, Semester 2
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||
Students may only gain credit for one of
|Core Participation Requirements:||For the purposes of considering request 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 of 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/
CoordinatorAssoc Prof Jan De Gier, Assoc Prof Steven Carnie
Third Year Coordinator
Computer packages, such as MATLAB, Maple and Mathematica, are indispensable tools for many scientists and engineers in simulating complex systems or studying analytically intractable or computationally intensive problems. This subject introduces such numerical and symbolic techniques with an emphasis on the development and implementation of mathematical algorithms including aspects of their efficiency, accuracy and stability. The different strategies and style of programming methodologies required when tackling problems either numerically or symbolically are highlighted. Examples used to illustrate numerical mathematics include the direct solution of linear systems and time-stepping methods for initial value problems. Symbolic methods will be demonstrated with a wide range of examples, such as applications to chaos theory and perturbative solutions to differential equations.
On completion of this subject, students should:
Two computational assignments due mid-semester and late in semester (40%), and two 90-minute computer laboratory examinations, one after mid-semester and one in the examination period (60%)
|Recommended Texts:|| |
C. Moler, Numerical Computing with Matlab, SIAM, 2004.
|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|
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:
|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.|
Applied Mathematics (specialisation of Mathematics and Statistics major) |
Science credit subjects* for pre-2008 BSc, BASc and combined degree science courses
Science-credited subjects - new generation B-SCI and B-ENG. Core selective subjects for B-BMED.
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