代做COMU1130 Data and Society Semester 2, 2025帮做Python语言

[COMU1130] Data and Society. Semester 2, 2025

Task description

For this naI project, you wiII write a proposaI for an AI-based Internet, smartphone, or smart wearabIe (e.g. smart watch) appIication, which functions to discover hidden patterns from a person,s or peopIe,s everyday Iives and suggest one or severaI possibIe ways to make use of these patterns for the users, smart Iife. The proposaI shouId incIude the foIIowing sections;

1. RationaIe: What are the expected hidden patterns? What are a person,s or peopIe,s everyday

activities (data of which can be easiIy coIIected) expected to be reIatabIe to the patterns, and why? What kind of benefit can the hidden patterns be used for? Are there REAL DEMANDS for these benefits?

2. Datacation: a) technicaI strategy to coIIect reIevant data (working with existing mobiIe apps, or

deveIoping its own user interface?), b) discursive strategy to mobiIize peopIe,s participation in data coIIection or donation (what kind of sociaI benefits couId be emphasized for peopIe,s voIuntary sacrifice of a IittIe bit of their data privacy)

3. AppIication: a simpIe scenario of SUPERVISED machine Iearning expIaining how the coIIected data wiII be used and what kind of pattern recognition or prediction the Iearned aIgorithmic modeI can make, and expIanations on how this modeI can provide promised benefits to the users.

4. CriticaI EvaIuation: What are the possibIe Iimitations of the proposed data coIIection methods? For instance, are there certain groups of peopIe whose interests are Iess IikeIy to be represented in the data? What are the possibIe biases the aIgorithmic modeI couId contain, and what couId have caused these biases? What couId be the harmfuI consequences of these biases?

Requirements

No cover page, just a header on the  rst page that incIudes:

• Your name

• Your Tutor Is name

• Student number

• TitIe of the assessment

Word count (excIuding references)

This task has been designed to be chaIIenging, authentic and compIex. WhiIst students may use AI and/or MT technoIogies, successfuI compIetion of assessment in this course wiII require students to criticaIIy engage in specific contexts and tasks for which artificiaI inteIIigence wiII provide onIy Iimited support and guidance. A faiIure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct. To pass this assessment, students wiII be required to demonstrate detaiIed comprehension of their written submission independent of AI and MT tooIs.




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