Assessment 2 Information
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Subject Code: |
DATA4800 |
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Subject Name: |
Artificial Intelligence and Machine Learning |
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Assessment Title: |
Individual Evaluation Activity (Evaluating Neural Network Models) |
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Assessment Type: |
Individual Implementation and Problem Solving (Puzzle) |
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Word Count: 1000 Words (+/- 10%) |
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Weighting: |
30 % |
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Total Marks: |
30 |
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Submission: |
Turnitin |
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Due Date: |
In-class, Week 10 |
Your Task
Evaluate the predictive modelling capability of neural networks and other prediction models in the Orange Data Mining Application. The assessment will involve implementing predictive models using software and solving various machine learning problems encountered in business. The assessment is worth 30 marks (see rubric for allocation of these marks).
Assessment Description
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.
In this assessment, you will implement an image classification model using Orange Data Mining’s image analytics toolbox. You will be provided with a dataset containing images.
Assessment Instructions
In class: Implementation. Use the Orange data mining software to perform both deep learning- based image classification and classical predictive analytics tasks.
. 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.
Deliverables: By the end of the workshop, you must submit your:
. 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
Academic Integrity and Conduct Policy
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.
Please read the policy to learn the answers to these questions:
· 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
Length Limits for Assessments
Penalties may be applied for assessment submissions that exceed prescribed limits.
Study Assistance
Students may seek study assistance from their local Academic Learning Advisor or refer to the resources on the MyKBS Academic Success Centrepage. Further details can be accessed at
https://elearning.kbs.edu.au/course/view.php?id=1481
Generative AI Traffic Lights
Please see the level of Generative AI that this assessment has been designed to accept:
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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. |
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. |
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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Assessment Marking Guide
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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. |
/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. |
/5 |
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/30 |
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