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DATA4800 Artificial Intelligence and Machine Learning
Assessment 2 Information
There has been a recent advent of Neural Networks including applications in deep learning.
Analytics professionals can run basic Deep Learning applications via the browser and no-code platforms as the algorithms use hardware accessed via the cloud to provide the required performance.
- Image Classification —Construct a predictive model using the Image Analytics widgets in Orange.
- Analyse tabular data using Neural Networks (NN)— Construct a predictive model using NN and other widgets in Orange.
In class: Problem Solving (Puzzle). Based on the Orange output, solve the accompanying puzzles in the assessment sheet designed to test your understanding of various prediction models and general knowledge on machine learning.
- Orange workflow file (.ows), via the file submission dropbox
- Your answer sheet containing answers to the puzzle.
No marks will be awarded for the assessment unless both the Orange workflow and the answer sheet have been submitted correctly as specified above. No marks will be awarded to students who share/accept workflows or puzzle answers with/from others.
Important Study Information
https://www.kbs.edu.au/admissions/forms-and-policies
KBS values academic integrity. All students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Academic Integrity and Conduct Policy.
- What is academic integrity and misconduct?
- What are the penalties for academic misconduct?
- How can I appeal my grade?
Late submission of assignments (within the Assessment Policy)
https://www.kbs.edu.au/admissions/forms-and-policies
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Traffic Light |
Amount of Generative Artificial Intelligence (AI) usage |
Evidence Required |
This assessment (✓) |
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Level 1 |
This assessment fully integrates Generative AI, encouraging you to harness the technology's full potential in collaboration with your own expertise.
It will highlight your ability to demonstrate how effectively you can work alongside AI to achieve sophisticated outcomes, blending human intellect and artificial intelligence.
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Your collaboration with AI must be clearly referenced and documented in the appendix of your submission, including all prompts and responses used for the assessment. |
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Level 2 |
This assessment invites you to engage with Generative AI as a means of expanding your creativity and idea generation. It will highlight your ability to complement your original thinking with the capabilities of AI. For example, through brainstorming and preliminary concept development. |
Your collaboration with AI must be clearly referenced and documented in the appendix of your submission, including all prompts and responses used for the assessment. |
✓ |
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Level 3 |
This assessment showcases your individual knowledge and skills in the absence of Generative AI support.
It will highlight your personal abilities. For example, to analyse, synthesise, and create based on your own understanding and learning.
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Use of generative AI is prohibited and may potentially result in penalties for academic misconduct, including but not limited to a mark of zero for the assessment. |
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Standards for this Task |
Points |
Feedback |
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Implementation and Problem Solving
口 Correctly implemented a prediction model to classify images as specified in the accompanying sheet.
口 Correctly solved puzzles in the accompanying assessment sheet.
For a higher-grade students need to:
• Provide a justified interpretation of the model outcome.
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/25 |
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Class Participation
• Actively participated in discussions during class and volunteered to ask and answer questions (weeks 6–9). The level of participation will influence the grade.
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/5 |
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/30 |
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