MXB161 Computational Explorations
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: | MXB161 |
|---|---|
| Prerequisite(s): | Admission to (MS01 or MV05 or IX30 or SE20 or SE30 or SE40 or SE70 or ST20) or 48 credit points of study in current course |
| 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: | MXB161 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | Admission to (MS01 or MV05 or IX30 or SE20 or SE30 or SE40 or SE70 or ST20) or 48 credit points of study in current course |
| Coordinators: | Paul Corry | p.corry@qut.edu.au Nicholas Buttle | n.buttle@qut.edu.au |
Overview
This unit introduces you to techniques of computation and simulation across a range of application areas in Science, Technology, Engineering and Mathematics (STEM). Computation and simulation are cornerstones of modern practice across STEM; practitioners skilled in these areas can explore behaviours of real-world systems that would be impractical or impossible to undertake using only theoretical or experimental means. In this introductory unit, you will develop your computation and simulation skills through individual and collaborative problem-solving activities. Further exploration is available through the second major or minor in Computational and Simulation Science.
Learning Outcomes
On successful completion of this unit you will be able to:
- Demonstrate knowledge of a range of data formats, and the techniques to manipulate such data.
- Use programming skills to implement computational solutions to problems using MATLAB.
- Demonstrate problem solving and critical thinking skills in adapting, extending and synthesising learned techniques to solve real world problems.
- Demonstrate good teamwork practices through collaborative activities in a multidisciplinary group environment.
Content
Introduction to the multipdisciplinary field of Computational Science. MATLAB as a tool for data manipulation, input/output and visualisation. Programming fundamentals as implemented in MATLAB. Analysis of spatial data including latitude/longitude and x-y coordinate data. Image formats and data types, image manipulation and processing, animations, input/output of images and animations. Sound formats and data types, sound manipulation and processing, time/frequency analysis of signals, input/output of sounds. Random walk simulations, 1D and 2D lattice-based, extensions and applications including diffusion. Cellular automata, 1D and 2D grids, Conway's Game of Life
Learning Approaches
This unit is available for you to study in either on-campus or online mode. You can expect to spend 10 hours per week involved in preparing for and attending scheduled classes, preparing and completing assessment tasks as well as independent study and consolidation of your learning.
This unit engages you in your learning through a theory-to-practice approach, and is by its design a multi-disciplinary learning experience. The unit is taught in the form of weekly topics, with the delivery of topic content followed by opportunities to complete practical exercises to develop your programming and problem-solving skills in MATLAB, both individually and in group work.
Each week comprises an online interactive lecture which will introduce the application area along with any new required programming techniques, a computer-based individual practical where you hone the knowledge and skills, and a computer-based group practical where you will engage in collaborative activity with your peers in the form of multi-disciplinary groups.
Feedback on Learning and Assessment
Formative feedback will be provided through online quizzes and though weekly written feedback provided on group worksheets.
Summative feedback will be provided throughout the semester with results posted via Canvas.
Assessment
Overview
The assessment items in this unit are designed to determine your level of competency in meeting the unit learning 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: Quiz/Test
Short answer responses submitted online with an emphasis on determining your level of competency in MATLAB programming and to measure your understanding the of weekly topic content.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Portfolio
A portfolio of weekly group work involving computer-based investigations and solutions to that week's topic. Towards the end of semester, one application of your group's choosing will be extended into a more comprehensive investigation that synthesises the content from multiple topics.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Examination (invigilated)
A written examination that requires you to demonstrate programming knowledge and computational problem solving skills, drawing on all material covered throughout the semester.
The examination will require attendance at a local testing centre. For students enrolled as internal or on-campus, the local testing centre will be on QUT campus. For students enrolled as online, QUT Examinations will provide local testing centre information.
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
Risk Assessment Statement
There is minimal health and safety risk in this unit. It is your responsibility to familiarise yourself with the Health and Safety policies and procedures applicable within campus areas and laboratories.
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: Quiz/Test, Portfolio, Examination (invigilated)
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.EN01 Bachelor of Engineering (Honours)
- Display leadership, creativity, and initiative in both self-directed and collaborative contexts of professional engineering practice.
Relates to: ULO4, Portfolio - Manage projects to solve complex engineering problems, using appropriate information, engineering methods, and technologies.
Relates to: ULO3, Quiz/Test, Portfolio, Examination (invigilated) - Demonstrate coherent knowledge and skills of physical, mathematical, statistical, computer, and information sciences that are fundamental to professional engineering practice.
Relates to: ULO1, ULO2, Quiz/Test, Portfolio, Examination (invigilated)
EN29 Bachelor of Engineering Studies
- Evidence of displaying leadership, creativity, and initiative in both self-directed and collaborative contexts of professional engineering practice.
Relates to: ULO4, Portfolio - Evidence of being able to manage projects to solve some engineering problems, using appropriate information, engineering methods and technologies.
Relates to: ULO3, Quiz/Test, Portfolio, Examination (invigilated) - Evidence of engaging with and applying regulatory requirements relating to safety, risk management and sustainability in professional engineering practice.
Relates to: ULO1 - Evidence of demonstrating coherent knowledge and skills of physical, mathematical, statistical, computer and information science.
Relates to: ULO2, Quiz/Test, Portfolio, Examination (invigilated)
EV01 Bachelor of Engineering (Honours)
- Display leadership, creativity, and initiative in both self-directed and collaborative contexts of professional engineering practice.
Relates to: Portfolio - Manage projects to solve complex engineering problems, using appropriate information, engineering methods, and technologies.
Relates to: Quiz/Test, Portfolio, Examination (invigilated) - Demonstrate coherent knowledge and skills of physical, mathematical, statistical, computer, and information sciences that are fundamental to professional engineering practice.
Relates to: Quiz/Test, Portfolio, Examination (invigilated)
Unit Outline: Semester 1 2024, Online
| Unit code: | MXB161 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | Admission to (MS01 or MV05 or IX30 or SE20 or SE30 or SE40 or SE70 or ST20) or 48 credit points of study in current course |
Overview
This unit introduces you to techniques of computation and simulation across a range of application areas in Science, Technology, Engineering and Mathematics (STEM). Computation and simulation are cornerstones of modern practice across STEM; practitioners skilled in these areas can explore behaviours of real-world systems that would be impractical or impossible to undertake using only theoretical or experimental means. In this introductory unit, you will develop your computation and simulation skills through individual and collaborative problem-solving activities. Further exploration is available through the second major or minor in Computational and Simulation Science.
Learning Outcomes
On successful completion of this unit you will be able to:
- Demonstrate knowledge of a range of data formats, and the techniques to manipulate such data.
- Use programming skills to implement computational solutions to problems using MATLAB.
- Demonstrate problem solving and critical thinking skills in adapting, extending and synthesising learned techniques to solve real world problems.
- Demonstrate good teamwork practices through collaborative activities in a multidisciplinary group environment.
Content
Introduction to the multipdisciplinary field of Computational Science. MATLAB as a tool for data manipulation, input/output and visualisation. Programming fundamentals as implemented in MATLAB. Analysis of spatial data including latitude/longitude and x-y coordinate data. Image formats and data types, image manipulation and processing, animations, input/output of images and animations. Sound formats and data types, sound manipulation and processing, time/frequency analysis of signals, input/output of sounds. Random walk simulations, 1D and 2D lattice-based, extensions and applications including diffusion. Cellular automata, 1D and 2D grids, Conway's Game of Life
Learning Approaches
This unit is available for you to study in either on-campus or online mode. You can expect to spend 10 hours per week involved in preparing for and attending scheduled classes, preparing and completing assessment tasks as well as independent study and consolidation of your learning.
This unit engages you in your learning through a theory-to-practice approach, and is by its design a multi-disciplinary learning experience. The unit is taught in the form of weekly topics, with the delivery of topic content followed by opportunities to complete practical exercises to develop your programming and problem-solving skills in MATLAB, both individually and in group work.
Each week comprises an online interactive lecture which will introduce the application area along with any new required programming techniques, a computer-based individual practical where you hone the knowledge and skills, and a computer-based group practical where you will engage in collaborative activity with your peers in the form of multi-disciplinary groups.
Feedback on Learning and Assessment
Formative feedback will be provided through online quizzes and though weekly written feedback provided on group worksheets.
Summative feedback will be provided throughout the semester with results posted via Canvas.
Assessment
Overview
The assessment items in this unit are designed to determine your level of competency in meeting the unit learning 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: Quiz/Test
Short answer responses submitted online with an emphasis on determining your level of competency in MATLAB programming and to measure your understanding the of weekly topic content.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Portfolio
A portfolio of weekly group work involving computer-based investigations and solutions to that week's topic. Towards the end of semester, one application of your group's choosing will be extended into a more comprehensive investigation that synthesises the content from multiple topics.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Examination (invigilated)
A written examination that requires you to demonstrate programming knowledge and computational problem solving skills, drawing on all material covered throughout the semester.
The examination will require attendance at a local testing centre. For students enrolled as internal or on-campus, the local testing centre will be on QUT campus. For students enrolled as online, QUT Examinations will provide local testing centre information.
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
Risk Assessment Statement
There is minimal health and safety risk in this unit. It is your responsibility to familiarise yourself with the Health and Safety policies and procedures applicable within campus areas and laboratories.
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: Quiz/Test, Portfolio, Examination (invigilated)
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.EN01 Bachelor of Engineering (Honours)
- Display leadership, creativity, and initiative in both self-directed and collaborative contexts of professional engineering practice.
Relates to: ULO4, Portfolio - Manage projects to solve complex engineering problems, using appropriate information, engineering methods, and technologies.
Relates to: ULO3, Quiz/Test, Portfolio, Examination (invigilated) - Demonstrate coherent knowledge and skills of physical, mathematical, statistical, computer, and information sciences that are fundamental to professional engineering practice.
Relates to: ULO1, ULO2, Quiz/Test, Portfolio, Examination (invigilated)
EN29 Bachelor of Engineering Studies
- Evidence of displaying leadership, creativity, and initiative in both self-directed and collaborative contexts of professional engineering practice.
Relates to: ULO4, Portfolio - Evidence of being able to manage projects to solve some engineering problems, using appropriate information, engineering methods and technologies.
Relates to: ULO3, Quiz/Test, Portfolio, Examination (invigilated) - Evidence of engaging with and applying regulatory requirements relating to safety, risk management and sustainability in professional engineering practice.
Relates to: ULO1 - Evidence of demonstrating coherent knowledge and skills of physical, mathematical, statistical, computer and information science.
Relates to: ULO2, Quiz/Test, Portfolio, Examination (invigilated)
EV01 Bachelor of Engineering (Honours)
- Display leadership, creativity, and initiative in both self-directed and collaborative contexts of professional engineering practice.
Relates to: Portfolio - Manage projects to solve complex engineering problems, using appropriate information, engineering methods, and technologies.
Relates to: Quiz/Test, Portfolio, Examination (invigilated) - Demonstrate coherent knowledge and skills of physical, mathematical, statistical, computer, and information sciences that are fundamental to professional engineering practice.
Relates to: Quiz/Test, Portfolio, Examination (invigilated)
Unit Outline: Semester 2 2024, Gardens Point, Internal
| Unit code: | MXB161 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | Admission to (MS01 or MV05 or IX30 or SE20 or SE30 or SE40 or SE70 or ST20) or 48 credit points of study in current course |
| Coordinators: | Timothy Moroney | t.moroney@qut.edu.au |
Overview
This unit introduces you to techniques of computation and simulation across a range of application areas in Science, Technology, Engineering and Mathematics (STEM). Computation and simulation are cornerstones of modern practice across STEM; practitioners skilled in these areas can explore behaviours of real-world systems that would be impractical or impossible to undertake using only theoretical or experimental means. In this introductory unit, you will develop your computation and simulation skills through individual and collaborative problem-solving activities. Further exploration is available through the second major or minor in Computational and Simulation Science.
Learning Outcomes
On successful completion of this unit you will be able to:
- Demonstrate knowledge of a range of data formats, and the techniques to manipulate such data.
- Use programming skills to implement computational solutions to problems using MATLAB.
- Demonstrate problem solving and critical thinking skills in adapting, extending and synthesising learned techniques to solve real world problems.
- Demonstrate good teamwork practices through collaborative activities in a multidisciplinary group environment.
Content
Introduction to the multipdisciplinary field of Computational Science. MATLAB as a tool for data manipulation, input/output and visualisation. Programming fundamentals as implemented in MATLAB. Analysis of spatial data including latitude/longitude and x-y coordinate data. Image formats and data types, image manipulation and processing, animations, input/output of images and animations. Sound formats and data types, sound manipulation and processing, time/frequency analysis of signals, input/output of sounds. Random walk simulations, 1D and 2D lattice-based, extensions and applications including diffusion. Cellular automata, 1D and 2D grids, Conway's Game of Life
Learning Approaches
This unit is available for you to study in either on-campus or online mode. You can expect to spend 10 hours per week involved in preparing for and attending scheduled classes, preparing and completing assessment tasks as well as independent study and consolidation of your learning.
This unit engages you in your learning through a theory-to-practice approach, and is by its design a multi-disciplinary learning experience. The unit is taught in the form of weekly topics, with the delivery of topic content followed by opportunities to complete practical exercises to develop your programming and problem-solving skills in MATLAB, both individually and in group work.
Each week comprises an online interactive lecture which will introduce the application area along with any new required programming techniques, a computer-based individual practical where you hone the knowledge and skills, and a computer-based group practical where you will engage in collaborative activity with your peers in the form of multi-disciplinary groups.
Feedback on Learning and Assessment
Formative feedback will be provided through online quizzes and though weekly written feedback provided on group worksheets.
Summative feedback will be provided throughout the semester with results posted via Canvas.
Assessment
Overview
The assessment items in this unit are designed to determine your level of competency in meeting the unit learning 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: Quiz/Test
Short answer responses submitted online with an emphasis on determining your level of competency in MATLAB programming and to measure your understanding the of weekly topic content.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Portfolio
A portfolio of weekly group work involving computer-based investigations and solutions to that week's topic. Towards the end of semester, one application of your group's choosing will be extended into a more comprehensive investigation that synthesises the content from multiple topics.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Examination (invigilated)
A written examination that requires you to demonstrate programming knowledge and computational problem solving skills, drawing on all material covered throughout the semester.
The examination will require attendance at a local testing centre. For students enrolled as internal or on-campus, the local testing centre will be on QUT campus. For students enrolled as online, QUT Examinations will provide local testing centre information.
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
Risk Assessment Statement
There is minimal health and safety risk in this unit. It is your responsibility to familiarise yourself with the Health and Safety policies and procedures applicable within campus areas and laboratories.
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: Quiz/Test, Portfolio, Examination (invigilated)
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.EN01 Bachelor of Engineering (Honours)
- Display leadership, creativity, and initiative in both self-directed and collaborative contexts of professional engineering practice.
Relates to: ULO4, Portfolio - Manage projects to solve complex engineering problems, using appropriate information, engineering methods, and technologies.
Relates to: ULO3, Quiz/Test, Portfolio, Examination (invigilated) - Demonstrate coherent knowledge and skills of physical, mathematical, statistical, computer, and information sciences that are fundamental to professional engineering practice.
Relates to: ULO1, ULO2, Quiz/Test, Portfolio, Examination (invigilated)
EN29 Bachelor of Engineering Studies
- Evidence of displaying leadership, creativity, and initiative in both self-directed and collaborative contexts of professional engineering practice.
Relates to: ULO4, Portfolio - Evidence of being able to manage projects to solve some engineering problems, using appropriate information, engineering methods and technologies.
Relates to: ULO3, Quiz/Test, Portfolio, Examination (invigilated) - Evidence of engaging with and applying regulatory requirements relating to safety, risk management and sustainability in professional engineering practice.
Relates to: ULO1 - Evidence of demonstrating coherent knowledge and skills of physical, mathematical, statistical, computer and information science.
Relates to: ULO2, Quiz/Test, Portfolio, Examination (invigilated)
EV01 Bachelor of Engineering (Honours)
- Display leadership, creativity, and initiative in both self-directed and collaborative contexts of professional engineering practice.
Relates to: Portfolio - Manage projects to solve complex engineering problems, using appropriate information, engineering methods, and technologies.
Relates to: Quiz/Test, Portfolio, Examination (invigilated) - Demonstrate coherent knowledge and skills of physical, mathematical, statistical, computer, and information sciences that are fundamental to professional engineering practice.
Relates to: Quiz/Test, Portfolio, Examination (invigilated)
Unit Outline: Semester 2 2024, Online
| Unit code: | MXB161 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | Admission to (MS01 or MV05 or IX30 or SE20 or SE30 or SE40 or SE70 or ST20) or 48 credit points of study in current course |
Overview
This unit introduces you to techniques of computation and simulation across a range of application areas in Science, Technology, Engineering and Mathematics (STEM). Computation and simulation are cornerstones of modern practice across STEM; practitioners skilled in these areas can explore behaviours of real-world systems that would be impractical or impossible to undertake using only theoretical or experimental means. In this introductory unit, you will develop your computation and simulation skills through individual and collaborative problem-solving activities. Further exploration is available through the second major or minor in Computational and Simulation Science.
Learning Outcomes
On successful completion of this unit you will be able to:
- Demonstrate knowledge of a range of data formats, and the techniques to manipulate such data.
- Use programming skills to implement computational solutions to problems using MATLAB.
- Demonstrate problem solving and critical thinking skills in adapting, extending and synthesising learned techniques to solve real world problems.
- Demonstrate good teamwork practices through collaborative activities in a multidisciplinary group environment.
Content
Introduction to the multipdisciplinary field of Computational Science. MATLAB as a tool for data manipulation, input/output and visualisation. Programming fundamentals as implemented in MATLAB. Analysis of spatial data including latitude/longitude and x-y coordinate data. Image formats and data types, image manipulation and processing, animations, input/output of images and animations. Sound formats and data types, sound manipulation and processing, time/frequency analysis of signals, input/output of sounds. Random walk simulations, 1D and 2D lattice-based, extensions and applications including diffusion. Cellular automata, 1D and 2D grids, Conway's Game of Life
Learning Approaches
This unit is available for you to study in either on-campus or online mode. You can expect to spend 10 hours per week involved in preparing for and attending scheduled classes, preparing and completing assessment tasks as well as independent study and consolidation of your learning.
This unit engages you in your learning through a theory-to-practice approach, and is by its design a multi-disciplinary learning experience. The unit is taught in the form of weekly topics, with the delivery of topic content followed by opportunities to complete practical exercises to develop your programming and problem-solving skills in MATLAB, both individually and in group work.
Each week comprises an online interactive lecture which will introduce the application area along with any new required programming techniques, a computer-based individual practical where you hone the knowledge and skills, and a computer-based group practical where you will engage in collaborative activity with your peers in the form of multi-disciplinary groups.
Feedback on Learning and Assessment
Formative feedback will be provided through online quizzes and though weekly written feedback provided on group worksheets.
Summative feedback will be provided throughout the semester with results posted via Canvas.
Assessment
Overview
The assessment items in this unit are designed to determine your level of competency in meeting the unit learning 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: Quiz/Test
Short answer responses submitted online with an emphasis on determining your level of competency in MATLAB programming and to measure your understanding the of weekly topic content.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Portfolio
A portfolio of weekly group work involving computer-based investigations and solutions to that week's topic. Towards the end of semester, one application of your group's choosing will be extended into a more comprehensive investigation that synthesises the content from multiple topics.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Examination (invigilated)
A written examination that requires you to demonstrate programming knowledge and computational problem solving skills, drawing on all material covered throughout the semester.
The examination will require attendance at a local testing centre. For students enrolled as internal or on-campus, the local testing centre will be on QUT campus. For students enrolled as online, QUT Examinations will provide local testing centre information.
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
Risk Assessment Statement
There is minimal health and safety risk in this unit. It is your responsibility to familiarise yourself with the Health and Safety policies and procedures applicable within campus areas and laboratories.
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: Quiz/Test, Portfolio, Examination (invigilated)
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.EN01 Bachelor of Engineering (Honours)
- Display leadership, creativity, and initiative in both self-directed and collaborative contexts of professional engineering practice.
Relates to: ULO4, Portfolio - Manage projects to solve complex engineering problems, using appropriate information, engineering methods, and technologies.
Relates to: ULO3, Quiz/Test, Portfolio, Examination (invigilated) - Demonstrate coherent knowledge and skills of physical, mathematical, statistical, computer, and information sciences that are fundamental to professional engineering practice.
Relates to: ULO1, ULO2, Quiz/Test, Portfolio, Examination (invigilated)
EN29 Bachelor of Engineering Studies
- Evidence of displaying leadership, creativity, and initiative in both self-directed and collaborative contexts of professional engineering practice.
Relates to: ULO4, Portfolio - Evidence of being able to manage projects to solve some engineering problems, using appropriate information, engineering methods and technologies.
Relates to: ULO3, Quiz/Test, Portfolio, Examination (invigilated) - Evidence of engaging with and applying regulatory requirements relating to safety, risk management and sustainability in professional engineering practice.
Relates to: ULO1 - Evidence of demonstrating coherent knowledge and skills of physical, mathematical, statistical, computer and information science.
Relates to: ULO2, Quiz/Test, Portfolio, Examination (invigilated)
EV01 Bachelor of Engineering (Honours)
- Display leadership, creativity, and initiative in both self-directed and collaborative contexts of professional engineering practice.
Relates to: Portfolio - Manage projects to solve complex engineering problems, using appropriate information, engineering methods, and technologies.
Relates to: Quiz/Test, Portfolio, Examination (invigilated) - Demonstrate coherent knowledge and skills of physical, mathematical, statistical, computer, and information sciences that are fundamental to professional engineering practice.
Relates to: Quiz/Test, Portfolio, Examination (invigilated)