AIB501 Group-based Assignment Introduction to AI (SUSS)

Question 1

Assess the importance of data preparation in machine learning and explain three key steps in the data preparation process. Provide examples of how these steps contribute to improving model performance. (60 marks)

Question 2

Formulate a comprehensive explanation of neural networks, including their structure, key components, and how they address non-linear problems. Additionally, discuss the importance of activation functions and provide examples of commonly used activation functions in neural networks. (40 marks)

Use of Generative AI Tools (Allowed)

• The use of generative AI tools is allowed for this assignment.
• You are expected to provide proper attribution if you use generative AI tools while completing the assignment, including appropriate and discipline-specific citation, a table detailing the name of the AI tool used, the approach to using the tool (e.g. what prompts were used), the full output provided by the tool, and which part of the output was adapted for the assignment;
• To take note of section 3, paragraph 3.2 and section 5.2, paragraph 2A.1 (Viva Voce) of the Student Handbook;
• The University has the right to exercise the viva voce option to determine the authorship of a student’s submission should there be reasonable grounds to suspect that the submission may not be fully the student’s own work.
• For more details on academic integrity and guidance on responsible use of generative AI tools in assignments, please refer to the TLC website for more details;
• The University will continue to review the use of generative AI tools based on feedback and in light of developments in AI and related technologies.

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