QUT001 QUT You: Artificial Intelligence in the Real World
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: | QUT001 |
|---|---|
| Credit points: | 6 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $582 |
| Domestic tuition unit fee | $2,178 |
| International unit fee | $2,586 |
Unit Outline: Semester 1 - 6 Week B 2025, Kelvin Grove, Internal
| Unit code: | QUT001 |
|---|---|
| Credit points: | 6 |
| Coordinators: | Dimity Miller | d24.miller@qut.edu.au |
Overview
You engage with Artificial Intelligence (AI) daily, perhaps unknowingly, through search engines, social media, and streaming services. It is increasingly likely that you will apply AI tools in your future career, regardless of your field. But without any understanding of how AI systems are built and tested, how do you know that you can trust them?
In this unit you will explore what AI is, how it’s developed, and its potential pitfalls. You will learn to decipher AI jargon, to probe AI systems to understand their capabilities and limitations, consider how AI may impact your future career, and the challenges present in ensuring that AI acts in a fair and ethical manner. You will explore AI concepts and methods through interactive demonstrations and real-world tools which will demonstrate the possibilities and problems with AI, and its broad applicability across fields including Engineering, Business, Health, Law and Design.
Learning Outcomes
On successful completion of this unit you will be able to:
- Critically evaluate machine learning systems and identify the assumptions, flaws, and opportunities that AI can provide.
- Speculate on the implications of AI on society and your discipline’s professional practice, including its ethical and socio-political impact.
Content
The unit will introduce fundamental concepts in AI and explore:
- How AI models are developed, trained and deployed in practice
- The limitations of AI models, including their reliability and the implications of asking AI models to operate in complex human situations
- How AI tools are impacting careers and work
- The ethical and legal implications of using AI in work, study, and creative endeavours
- Applications of AI in diverse areas including engineering, science, health, creativity and design, law and business.
The unit will use interactive example AI applications and public AI services to introduce and explore concepts.
Learning Approaches
Learning in this unit includes weekly pre-recorded videos, interactive demos and synchronous tutorials and a unit communications channel, designed to facilitate communication with your peers and teaching staff. You can expect to spend on average 12 hours per week involved in preparing for and attending all scheduled tutorials, completing assessment tasks, and undertaking your own independent study to consolidate your learning.
Tutorials will provide you with an opportunity to explore AI models through interactive demonstrations and real-world AI tools, which allow you to probe how models respond to varied inputs and discuss the implications of the observed behaviour of the AI with teaching staff and peers. The assessment task will encourage you to explore the broader implications of AI on society and the workplace. Source code and detailed explanations will be available for the interactive demonstrations used in the subject, allowing advanced and/or interested students to explore how these work in greater detail.
Feedback on Learning and Assessment
You will receive feedback in this unit in the following ways:
- Formative feedback be offered by the tutors during the semester to assist you in the development of your skills.
- Formative written feedback through criteria sheet grading.
- In addition to rubrics (criteria and standards), comments on summative assessment will be provided.
- Generic comments will be provided to the cohort through Canvas.
- Automated comments generated by AI tools will be provided to help gauge your level of understanding.
Assessment
Overview
The assessment for this unit is a portfolio that you will build from tasks completed during tutorials, where you will explore the capabilities of current AI methods and publicly accessible AI tools, and consider the implications of these on your future career.
Unit Grading Scheme
S (Satisfactory) / U (Unsatisfactory)
Assessment Tasks
Assessment: AI as a Cognitive Tool
During workshops, you will explore the capabilities of AI through various publicly available tools and interactive demos, and critically analyse the limitations of and opportunities offered by these tools. You will also participate in discussions on the implications of AI for future careers in Engineering, Business, Creative Arts and Design, Education, Health, and Law, and reflect on the ethical considerations surrounding the use of AI in these fields. This assessment will combine content you complete in these workshops with your own reflections on the future of AI within your discipline.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
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.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Risk Assessment Statement
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: AI as a Cognitive Tool
Relates to: AI as a Cognitive Tool
Relates to: AI as a Cognitive Tool
2: Engineering Application Ability
Relates to: AI as a Cognitive Tool
3: Professional and Personal Attributes
Relates to: AI as a Cognitive Tool
Unit Outline: Semester 1 - 6 Week B 2025, Gardens Point, Internal
| Unit code: | QUT001 |
|---|---|
| Credit points: | 6 |
| Coordinators: | Dimity Miller | d24.miller@qut.edu.au |
Overview
You engage with Artificial Intelligence (AI) daily, perhaps unknowingly, through search engines, social media, and streaming services. It is increasingly likely that you will apply AI tools in your future career, regardless of your field. But without any understanding of how AI systems are built and tested, how do you know that you can trust them?
In this unit you will explore what AI is, how it’s developed, and its potential pitfalls. You will learn to decipher AI jargon, to probe AI systems to understand their capabilities and limitations, consider how AI may impact your future career, and the challenges present in ensuring that AI acts in a fair and ethical manner. You will explore AI concepts and methods through interactive demonstrations and real-world tools which will demonstrate the possibilities and problems with AI, and its broad applicability across fields including Engineering, Business, Health, Law and Design.
Learning Outcomes
On successful completion of this unit you will be able to:
- Critically evaluate machine learning systems and identify the assumptions, flaws, and opportunities that AI can provide.
- Speculate on the implications of AI on society and your discipline’s professional practice, including its ethical and socio-political impact.
Content
The unit will introduce fundamental concepts in AI and explore:
- How AI models are developed, trained and deployed in practice
- The limitations of AI models, including their reliability and the implications of asking AI models to operate in complex human situations
- How AI tools are impacting careers and work
- The ethical and legal implications of using AI in work, study, and creative endeavours
- Applications of AI in diverse areas including engineering, science, health, creativity and design, law and business.
The unit will use interactive example AI applications and public AI services to introduce and explore concepts.
Learning Approaches
Learning in this unit includes weekly pre-recorded videos, interactive demos and synchronous tutorials and a unit communications channel, designed to facilitate communication with your peers and teaching staff. You can expect to spend on average 12 hours per week involved in preparing for and attending all scheduled tutorials, completing assessment tasks, and undertaking your own independent study to consolidate your learning.
Tutorials will provide you with an opportunity to explore AI models through interactive demonstrations and real-world AI tools, which allow you to probe how models respond to varied inputs and discuss the implications of the observed behaviour of the AI with teaching staff and peers. The assessment task will encourage you to explore the broader implications of AI on society and the workplace. Source code and detailed explanations will be available for the interactive demonstrations used in the subject, allowing advanced and/or interested students to explore how these work in greater detail.
Feedback on Learning and Assessment
You will receive feedback in this unit in the following ways:
- Formative feedback be offered by the tutors during the semester to assist you in the development of your skills.
- Formative written feedback through criteria sheet grading.
- In addition to rubrics (criteria and standards), comments on summative assessment will be provided.
- Generic comments will be provided to the cohort through Canvas.
- Automated comments generated by AI tools will be provided to help gauge your level of understanding.
Assessment
Overview
The assessment for this unit is a portfolio that you will build from tasks completed during tutorials, where you will explore the capabilities of current AI methods and publicly accessible AI tools, and consider the implications of these on your future career.
Unit Grading Scheme
S (Satisfactory) / U (Unsatisfactory)
Assessment Tasks
Assessment: AI as a Cognitive Tool
During workshops, you will explore the capabilities of AI through various publicly available tools and interactive demos, and critically analyse the limitations of and opportunities offered by these tools. You will also participate in discussions on the implications of AI for future careers in Engineering, Business, Creative Arts and Design, Education, Health, and Law, and reflect on the ethical considerations surrounding the use of AI in these fields. This assessment will combine content you complete in these workshops with your own reflections on the future of AI within your discipline.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
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.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Risk Assessment Statement
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: AI as a Cognitive Tool
Relates to: AI as a Cognitive Tool
Relates to: AI as a Cognitive Tool
2: Engineering Application Ability
Relates to: AI as a Cognitive Tool
3: Professional and Personal Attributes
Relates to: AI as a Cognitive Tool
Unit Outline: Semester 1 - 6 Week B 2025, Online
| Unit code: | QUT001 |
|---|---|
| Credit points: | 6 |
Overview
You engage with Artificial Intelligence (AI) daily, perhaps unknowingly, through search engines, social media, and streaming services. It is increasingly likely that you will apply AI tools in your future career, regardless of your field. But without any understanding of how AI systems are built and tested, how do you know that you can trust them?
In this unit you will explore what AI is, how it’s developed, and its potential pitfalls. You will learn to decipher AI jargon, to probe AI systems to understand their capabilities and limitations, consider how AI may impact your future career, and the challenges present in ensuring that AI acts in a fair and ethical manner. You will explore AI concepts and methods through interactive demonstrations and real-world tools which will demonstrate the possibilities and problems with AI, and its broad applicability across fields including Engineering, Business, Health, Law and Design.
Learning Outcomes
On successful completion of this unit you will be able to:
- Critically evaluate machine learning systems and identify the assumptions, flaws, and opportunities that AI can provide.
- Speculate on the implications of AI on society and your discipline’s professional practice, including its ethical and socio-political impact.
Content
The unit will introduce fundamental concepts in AI and explore:
- How AI models are developed, trained and deployed in practice
- The limitations of AI models, including their reliability and the implications of asking AI models to operate in complex human situations
- How AI tools are impacting careers and work
- The ethical and legal implications of using AI in work, study, and creative endeavours
- Applications of AI in diverse areas including engineering, science, health, creativity and design, law and business.
The unit will use interactive example AI applications and public AI services to introduce and explore concepts.
Learning Approaches
Learning in this unit includes weekly pre-recorded videos, interactive demos and synchronous tutorials and a unit communications channel, designed to facilitate communication with your peers and teaching staff. You can expect to spend on average 12 hours per week involved in preparing for and attending all scheduled tutorials, completing assessment tasks, and undertaking your own independent study to consolidate your learning.
Tutorials will provide you with an opportunity to explore AI models through interactive demonstrations and real-world AI tools, which allow you to probe how models respond to varied inputs and discuss the implications of the observed behaviour of the AI with teaching staff and peers. The assessment task will encourage you to explore the broader implications of AI on society and the workplace. Source code and detailed explanations will be available for the interactive demonstrations used in the subject, allowing advanced and/or interested students to explore how these work in greater detail.
Feedback on Learning and Assessment
You will receive feedback in this unit in the following ways:
- Formative feedback be offered by the tutors during the semester to assist you in the development of your skills.
- Formative written feedback through criteria sheet grading.
- In addition to rubrics (criteria and standards), comments on summative assessment will be provided.
- Generic comments will be provided to the cohort through Canvas.
- Automated comments generated by AI tools will be provided to help gauge your level of understanding.
Assessment
Overview
The assessment for this unit is a portfolio that you will build from tasks completed during tutorials, where you will explore the capabilities of current AI methods and publicly accessible AI tools, and consider the implications of these on your future career.
Unit Grading Scheme
S (Satisfactory) / U (Unsatisfactory)
Assessment Tasks
Assessment: AI as a Cognitive Tool
During workshops, you will explore the capabilities of AI through various publicly available tools and interactive demos, and critically analyse the limitations of and opportunities offered by these tools. You will also participate in discussions on the implications of AI for future careers in Engineering, Business, Creative Arts and Design, Education, Health, and Law, and reflect on the ethical considerations surrounding the use of AI in these fields. This assessment will combine content you complete in these workshops with your own reflections on the future of AI within your discipline.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Academic Integrity
Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.
The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.
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.
Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.
Risk Assessment Statement
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: AI as a Cognitive Tool
Relates to: AI as a Cognitive Tool
Relates to: AI as a Cognitive Tool
2: Engineering Application Ability
Relates to: AI as a Cognitive Tool
3: Professional and Personal Attributes
Relates to: AI as a Cognitive Tool