DSB300 Data Science Capstone Project
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: | DSB300 |
|---|---|
| Prerequisite(s): | CAB420 and MXB344. MXB344 can be enrolled in the same teaching period as DSB300 |
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $1,118 |
| Domestic tuition unit fee | $4,104 |
| International unit fee | $4,788 |
Unit Outline: Semester 1 2024, Gardens Point, Internal
| Unit code: | DSB300 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | CAB420 and MXB344; MXB344 can be enrolled in the same teaching period as DSB300 |
| Coordinator: | Paul Wu | p.wu@qut.edu.au |
Overview
The project addresses a research question or a practical problem through the application of Data Science theories, tools and techniques. It allows you to apply the knowledge of the research skills and practices used to undertake specific Data Science activities. It provides an opportunity to individualise your studies by concentrating on a specific problem domain.
Learning Outcomes
On successful completion of this unit you will be able to:
- Integrate and apply advanced knowledge of data science theory, methods and principles to understand and address industry-relevant issues and problems.
- Demonstrate and apply advanced problem solving, analysis, design and visualisation skills to a Data Science industry project to achieve stakeholder goals.
- Collaborate in a team to professionally and ethically project manage and conduct a data science industry-based project using industry standard tools, techniques and methodologies.
- Communicate professionally with a client demonstrating advanced skills in written, oral and visual presentation of technical content to specialist audiences.
- Critically reflect on industry feedback, self and team performance to identify strategies for further developing professional practice skills.
Content
You must develop and carry out a data science project. The project topic is decided by agreement between your group and your QUT supervisor. Projects relevant to your current or intended employment are encouraged.
Learning Approaches
You are required to plan and execute a substantive project. This project is to be individually progressed, although you may be working in a research program, where other students are completing other parts of the program.
You will be guided in this project by the QUT academic supervisor(s), who may engage an industry professional if the project is performed in an industry site within Australia. There will be regular meetings with your supervisor(s). This is to assure that you progress in the expected manner and will be an opportunity to discuss any problems you may have encountered. Feedback and further actions and recommendations will be provided to you during these regular meetings.
All project activities must be carried out within Australia and guided by a QUT academic supervisor. If your project activities are associated with other WIL (Work-Integrated Learning) programs, the learning outcomes of this unit must be fully retained, and the project must be assessed under this unit.
Feedback on Learning and Assessment
You can obtain feedback on your project plan, and oral presentation and reports from your supervisor and the academics who mark your works.
Assessment
Overview
All projects will be assessed according to the same set of assessment items specified below. You are expected to develop a written project proposal in week 3. You must produce a project management plan, project report and make an oral presentation, and write a final reflection.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Portfolio
Made up of two parts. One is a written project proposal (due week 3) providing a description of the problem and context, data if relevant, objectives, deliverables and methodology for the project. The second (due week 13) comprises a reflection on professional development (including roles, industry engagement, challenges and lessons learned) and technical reflection (including critical assessment, response to queries, and future steps).
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Professional Plans
Written project plan providing a description of background, scope, objectives, work breakdown milestones and deliverables.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Project (applied)
Written project report (due week 13) providing a detailed description of the project and its outcomes. Oral presentation of outcomes to industry and academics and peers in week 12.
The project report is eligible for the 48-hour late submission period and assignment extensions, but the oral presentation is not.
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
TBA
Risk Assessment Statement
All commencing FoS students are required to complete the Mandatory Safety Induction
There are no extraordinary risks associated with this unit.
Unit Outline: Semester 1 2024, Online
| Unit code: | DSB300 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | CAB420 and MXB344; MXB344 can be enrolled in the same teaching period as DSB300 |
Overview
The project addresses a research question or a practical problem through the application of Data Science theories, tools and techniques. It allows you to apply the knowledge of the research skills and practices used to undertake specific Data Science activities. It provides an opportunity to individualise your studies by concentrating on a specific problem domain.
Learning Outcomes
On successful completion of this unit you will be able to:
- Integrate and apply advanced knowledge of data science theory, methods and principles to understand and address industry-relevant issues and problems.
- Demonstrate and apply advanced problem solving, analysis, design and visualisation skills to a Data Science industry project to achieve stakeholder goals.
- Collaborate in a team to professionally and ethically project manage and conduct a data science industry-based project using industry standard tools, techniques and methodologies.
- Communicate professionally with a client demonstrating advanced skills in written, oral and visual presentation of technical content to specialist audiences.
- Critically reflect on industry feedback, self and team performance to identify strategies for further developing professional practice skills.
Content
You must develop and carry out a data science project. The project topic is decided by agreement between your group and your QUT supervisor. Projects relevant to your current or intended employment are encouraged.
Learning Approaches
You are required to plan and execute a substantive project. This project is to be individually progressed, although you may be working in a research program, where other students are completing other parts of the program.
You will be guided in this project by the QUT academic supervisor(s), who may engage an industry professional if the project is performed in an industry site within Australia. There will be regular meetings with your supervisor(s). This is to assure that you progress in the expected manner and will be an opportunity to discuss any problems you may have encountered. Feedback and further actions and recommendations will be provided to you during these regular meetings.
All project activities must be carried out within Australia and guided by a QUT academic supervisor. If your project activities are associated with other WIL (Work-Integrated Learning) programs, the learning outcomes of this unit must be fully retained, and the project must be assessed under this unit.
Feedback on Learning and Assessment
You can obtain feedback on your project plan, and oral presentation and reports from your supervisor and the academics who mark your works.
Assessment
Overview
All projects will be assessed according to the same set of assessment items specified below. You are expected to develop a written project proposal in week 3. You must produce a project management plan, project report and make an oral presentation, and write a final reflection.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Portfolio
Made up of two parts. One is a written project proposal (due week 3) providing a description of the problem and context, data if relevant, objectives, deliverables and methodology for the project. The second (due week 13) comprises a reflection on professional development (including roles, industry engagement, challenges and lessons learned) and technical reflection (including critical assessment, response to queries, and future steps).
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Professional Plans
Written project plan providing a description of background, scope, objectives, work breakdown milestones and deliverables.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Project (applied)
Written project report (due week 13) providing a detailed description of the project and its outcomes. Oral presentation of outcomes to industry and academics and peers in week 12.
The project report is eligible for the 48-hour late submission period and assignment extensions, but the oral presentation is not.
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
TBA
Risk Assessment Statement
All commencing FoS students are required to complete the Mandatory Safety Induction
There are no extraordinary risks associated with this unit.
Unit Outline: Semester 2 2024, Gardens Point, Internal
| Unit code: | DSB300 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | CAB420 and MXB344; MXB344 can be enrolled in the same teaching period as DSB300 |
| Coordinator: | Paul Wu | p.wu@qut.edu.au |
Overview
The project addresses a research question or a practical problem through the application of Data Science theories, tools and techniques. It allows you to apply the knowledge of the research skills and practices used to undertake specific Data Science activities. It provides an opportunity to individualise your studies by concentrating on a specific problem domain.
Learning Outcomes
On successful completion of this unit you will be able to:
- Integrate and apply advanced knowledge of data science theory, methods and principles to understand and address industry-relevant issues and problems.
- Demonstrate and apply advanced problem solving, analysis, design and visualisation skills to a Data Science industry project to achieve stakeholder goals.
- Collaborate in a team to professionally and ethically project manage and conduct a data science industry-based project using industry standard tools, techniques and methodologies.
- Communicate professionally with a client demonstrating advanced skills in written, oral and visual presentation of technical content to specialist audiences.
- Critically reflect on industry feedback, self and team performance to identify strategies for further developing professional practice skills.
Content
You must develop and carry out a data science project. The project topic is decided by agreement between your group and your QUT supervisor. Projects relevant to your current or intended employment are encouraged.
Learning Approaches
You are required to plan and execute a substantive project. This project is to be individually progressed, although you may be working in a research program, where other students are completing other parts of the program.
You will be guided in this project by the QUT academic supervisor(s), who may engage an industry professional if the project is performed in an industry site within Australia. There will be regular meetings with your supervisor(s). This is to assure that you progress in the expected manner and will be an opportunity to discuss any problems you may have encountered. Feedback and further actions and recommendations will be provided to you during these regular meetings.
All project activities must be carried out within Australia and guided by a QUT academic supervisor. If your project activities are associated with other WIL (Work-Integrated Learning) programs, the learning outcomes of this unit must be fully retained, and the project must be assessed under this unit.
Feedback on Learning and Assessment
You can obtain feedback on your project plan, and oral presentation and reports from your supervisor and the academics who mark your works.
Assessment
Overview
All projects will be assessed according to the same set of assessment items specified below. You are expected to develop a written project proposal in week 3. You must produce a project management plan, project report and make an oral presentation, and write a final reflection.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Portfolio
Made up of two parts. One is a written project proposal (due week 3) providing a description of the problem and context, data if relevant, objectives, deliverables and methodology for the project. The second (due week 13) comprises a reflection on professional development (including roles, industry engagement, challenges and lessons learned) and technical reflection (including critical assessment, response to queries, and future steps).
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Professional Plans
Written project plan providing a description of background, scope, objectives, work breakdown milestones and deliverables.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Project (applied)
Written project report (due week 13) providing a detailed description of the project and its outcomes. Oral presentation of outcomes to industry and academics and peers in week 12.
The project report is eligible for the 48-hour late submission period and assignment extensions, but the oral presentation is not.
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
TBA
Risk Assessment Statement
All commencing FoS students are required to complete the Mandatory Safety Induction
There are no extraordinary risks associated with this unit.
Unit Outline: Semester 2 2024, Online
| Unit code: | DSB300 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | CAB420 and MXB344; MXB344 can be enrolled in the same teaching period as DSB300 |
Overview
The project addresses a research question or a practical problem through the application of Data Science theories, tools and techniques. It allows you to apply the knowledge of the research skills and practices used to undertake specific Data Science activities. It provides an opportunity to individualise your studies by concentrating on a specific problem domain.
Learning Outcomes
On successful completion of this unit you will be able to:
- Integrate and apply advanced knowledge of data science theory, methods and principles to understand and address industry-relevant issues and problems.
- Demonstrate and apply advanced problem solving, analysis, design and visualisation skills to a Data Science industry project to achieve stakeholder goals.
- Collaborate in a team to professionally and ethically project manage and conduct a data science industry-based project using industry standard tools, techniques and methodologies.
- Communicate professionally with a client demonstrating advanced skills in written, oral and visual presentation of technical content to specialist audiences.
- Critically reflect on industry feedback, self and team performance to identify strategies for further developing professional practice skills.
Content
You must develop and carry out a data science project. The project topic is decided by agreement between your group and your QUT supervisor. Projects relevant to your current or intended employment are encouraged.
Learning Approaches
You are required to plan and execute a substantive project. This project is to be individually progressed, although you may be working in a research program, where other students are completing other parts of the program.
You will be guided in this project by the QUT academic supervisor(s), who may engage an industry professional if the project is performed in an industry site within Australia. There will be regular meetings with your supervisor(s). This is to assure that you progress in the expected manner and will be an opportunity to discuss any problems you may have encountered. Feedback and further actions and recommendations will be provided to you during these regular meetings.
All project activities must be carried out within Australia and guided by a QUT academic supervisor. If your project activities are associated with other WIL (Work-Integrated Learning) programs, the learning outcomes of this unit must be fully retained, and the project must be assessed under this unit.
Feedback on Learning and Assessment
You can obtain feedback on your project plan, and oral presentation and reports from your supervisor and the academics who mark your works.
Assessment
Overview
All projects will be assessed according to the same set of assessment items specified below. You are expected to develop a written project proposal in week 3. You must produce a project management plan, project report and make an oral presentation, and write a final reflection.
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Portfolio
Made up of two parts. One is a written project proposal (due week 3) providing a description of the problem and context, data if relevant, objectives, deliverables and methodology for the project. The second (due week 13) comprises a reflection on professional development (including roles, industry engagement, challenges and lessons learned) and technical reflection (including critical assessment, response to queries, and future steps).
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Professional Plans
Written project plan providing a description of background, scope, objectives, work breakdown milestones and deliverables.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Project (applied)
Written project report (due week 13) providing a detailed description of the project and its outcomes. Oral presentation of outcomes to industry and academics and peers in week 12.
The project report is eligible for the 48-hour late submission period and assignment extensions, but the oral presentation is not.
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
TBA
Risk Assessment Statement
All commencing FoS students are required to complete the Mandatory Safety Induction
There are no extraordinary risks associated with this unit.