MXB201 Advanced Linear Algebra
To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.
Unit code: | MXB201 |
---|---|
Prerequisite(s): | MXB106 and (MXB102 or Admission to ST20) |
Equivalent(s): | MAB312 |
Assumed Knowledge: | MXB105 is assumed knowledge. |
Credit points: | 12 |
Timetable | Details in HiQ, if available |
Availabilities |
|
CSP student contribution | $555 |
Domestic tuition unit fee | $3,324 |
International unit fee | $4,296 |
Unit Outline: Semester 1 2024, Gardens Point, Internal
Unit code: | MXB201 |
---|---|
Credit points: | 12 |
Pre-requisite: | MXB106 and (MXB102 or admission to ST20) |
Equivalent: | MAB312 |
Assumed Knowledge: | MXB105 is assumed knowledge. |
Coordinator: | Timothy Moroney | t.moroney@qut.edu.au |
Overview
Much of the power of linear algebra stems from its widely-applicable collection of analytical tools for applied problem-solving. This unit builds upon your knowledge of linear algebra to explore more advanced techniques and applications of matrices and vectors. Furthermore, you will learn how much of what is familiar about linear algebra in Euclidean space can be abstracted to develop a more generally applicable theory. Hence you will develop an appreciation for the power and versatility of linear algebra across the mathematical sciences.
Learning Outcomes
On successful completion of this unit you will be able to:
- Formulate and solve abstract and real world problems using advanced techniques of linear algebra.
- Use computer software to explore and solve problems in linear algebra including obtaining insight into abstract problems via exploration of concrete realisations.
- Present mathematical arguments clearly and logically in both written and oral form.
- Demonstrate good teamwork practices through collaborative activities in a group environment.
Content
Matrix analysis, review of key matrix properties, facts about linear systems, four fundamental subspaces of a matrix, rank and nullity, the general solution of a linear system of equations. Orthonormal bases, the Gram-Schmidt process. The eigenvalue problem, matrix diagonalisation, computing matrix functions. QR and singular value decompositions. Abstract vector spaces, axioms, extension of concepts from R^n. Inner product spaces, axioms, examples of such spaces including function spaces, best approximations and least squares solutions. Linear transformations, projections.
Learning Approaches
Feedback on Learning and Assessment
Assessment
Overview
The assessment items in this unit are designed to determine your level of competency in meeting the unit outcomes while providing you with a range of tasks with varying levels of skill development and difficulty.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Problem Solving Task
This assessment will consist of a number of problem solving tasks to be completed individually. These will consist of problem-solution based exercises to demonstrate your understanding of theoretical concepts and their application.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Model (Theoretical)
In small groups you will apply your skills and understanding of linear algebra to develop mathematical models to describe and solve a real-world problem. Your group will write a technical report to summarise your model, describe the mathematical techniques employed, outline the key implementation details of any algorithms developed, and present your findings and recommendations. You will also provide a succinct video presentation in a professional manner, as if to experts in government, industry or academia.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Examination (invigilated)
The final examination will be based on unit material drawn from the full semester, and will allow you to demonstrate the theoretical knowledge and problem solving skills you have developed in this unit.
The examination will require attendance on QUT campus.
Academic Integrity
Students are expected to engage in learning and assessment at QUT with honesty, transparency and fairness. Maintaining academic integrity means upholding these principles and demonstrating valuable professional capabilities based on ethical foundations.
Failure to maintain academic integrity can take many forms. It includes cheating in examinations, plagiarism, self-plagiarism, collusion, and submitting an assessment item completed by another person (e.g. contract cheating). It can also include providing your assessment to another entity, such as to a person or website.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Further details of QUT’s approach to academic integrity are outlined in the Academic integrity policy and the Student Code of Conduct. Breaching QUT’s Academic integrity policy is regarded as student misconduct and can lead to the imposition of penalties ranging from a grade reduction to exclusion from QUT.
Resources
Resource Materials
Recommended text(s)
Risk Assessment Statement
There are no out of the ordinary risks associated with this unit.
Standards/Competencies
This unit is designed to support your development of the following standards\competencies.
Engineers Australia Stage 1 Competency Standard for Professional Engineer
1: Knowledge and Skill Base
Relates to: Problem Solving Task, Model (Theoretical), Examination (invigilated)
2: Engineering Application Ability
Relates to: Model (Theoretical)
Relates to: Problem Solving Task, Model (Theoretical), Examination (invigilated)
Relates to: Model (Theoretical)
3: Professional and Personal Attributes
Relates to: Model (Theoretical), Examination (invigilated)
Relates to: Model (Theoretical)
Relates to: Model (Theoretical)