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Linear Algebra (MAST10007)
Undergraduate level 1Points: 12.5On Campus (Parkville)
About this subject
Contact information
Summer Term
Semester 1
Semester 2
Overview
Availability | Summer Term Semester 1 Semester 2 |
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This subject gives a solid grounding in key areas of modern mathematics needed in science and technology. It develops the concepts of vectors, matrices and the methods of linear algebra. Students should develop the ability to use the methods of linear algebra and gain an appreciation of mathematical proof. Little of the material here has been seen at school and the level of understanding required represents an advance on previous studies.
Systems of linear equations, matrices and determinants; vectors in real n-space, cross product, scalar triple product, lines and planes; vector spaces, linear independence, basis, dimension; linear transformations, eigenvalues, eigenvectors; inner products, least squares estimation, symmetric and orthogonal matrices.
Intended learning outcomes
Students completing this subject will be able to:
- use matrix techniques to represent and solve a system of simultaneous linear equations
- use vectors to describe lines and planes in solid geometry
- apply vector concepts to abstract vector spaces of arbitrary finite dimension
- represent linear transformations via matrices and use linear transformations to solve problems
- use a computer package for symbolic and numeric calculation
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:
- 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 analysis;
- collaborative skills: the ability to work in a team;
- time-management skills: the ability to meet regular deadlines while balancing competing commitments; and
- computer skills: the ability to use mathematical computing packages.
Last updated: 8 November 2024