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MA2210 - Linear Algebra
Credit points: |
3 |
Year: |
2023 |
Student Contribution Band: |
Band
1 |
Administered by: |
|
This subject provides an important foundation in Linear Algebra necessary for further
studies in mathematics, data science and engineering. Topics include: properties of
matrices, determinants and matrix transformations, the four fundamental subspaces
and Singular Value Decomposition, systems of equations, solutions to eigenvalue/eigenvector
problems, and continuous and discrete least squares approximations for functions and
data sets. Also, the benefits and limitations of numerical solutions to problems in
Linear Algebra are examined. Application of solution methods are carried out by hand
and using computer software such as MATLAB.
Learning Outcomes
- explain the mathematical concepts, fundamental theorems and definitions of Linear
Algebra and their application;
- describe the properties of matrices and their use in Linear Algebra;
- derive and apply solution methods to common Linear Algebra problems;
- implement solutions to Numerical Linear Algebra problems using MATLAB.
Subject Assessment
- Written > Examination (centrally administered) - (50%) - Individual
- Written > Examination - In class - (20%) - Individual
- Written > Log/logbook - (10%) - Individual
- Written > Problem task - (20%) - Individual.
Assumed Knowledge:
|
It is recommended students have completed MA2000 |
Prerequisites: |
MA1003 |
Availabilities
|
Cairns,
Study Period 2,
Internal
|
Census Date 24-Aug-2023 |
Coord/Lect: |
Assoc. Professor Shaun Belward. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 39 hours lectures
- 13 hours tutorials
- assessment and self-directed study
|
|
|
Townsville,
Study Period 2,
Internal
|
Census Date 24-Aug-2023 |
Coord/Lect: |
Assoc. Professor Shaun Belward. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 39 hours lectures
- 13 hours tutorials
- assessment and self-directed study
|
|
|
Note:
Minor variations might occur due to the continuous Subject quality improvement process,
and in case
of minor variation(s) in assessment details, the Subject Outline represents the latest
official information.