https://msucerl.org/cmse101/tags/data/Recent content in Data on AI and Society CourseHugoen-usTue, 05 May 2026 00:00:00 +0000https://msucerl.org/cmse101/assignments/week-02/Tue, 05 May 2026 00:00:00 +0000https://msucerl.org/cmse101/assignments/week-02/<h2 id="week-2-assignment-data-analysis-exercise">Week 2 Assignment: Data Analysis Exercise</h2> <p><strong>Due:</strong> End of Week 2 | <strong>Format:</strong> Short report + visualization | <strong>Length:</strong> 400-600 words</p> <hr> <h2 id="-assignment-overview">📝 Assignment Overview</h2> <p>You&rsquo;ll select a real dataset and analyze it through the lens of what you learned about data quality, representation, and how training decisions affect AI systems.</p> <hr> <h2 id="-instructions">📋 Instructions</h2> <h3 id="part-1-dataset-selection--exploration">Part 1: Dataset Selection &amp; Exploration</h3> <ol> <li>Find a dataset that interests you (suggestions: Kaggle, UCI ML Repository, Google Dataset Search, or your field&rsquo;s data repository)</li> <li>Download or access the dataset</li> <li>Document: <ul> <li>What does the dataset contain?</li> <li>How many records/observations?</li> <li>What features/variables?</li> <li>Who collected it and why?</li> </ul> </li> </ol> <h3 id="part-2-critical-analysis-400-600-words">Part 2: Critical Analysis (400-600 words)</h3> <p>Write a report addressing:</p>https://msucerl.org/cmse101/readings/week-02/Tue, 05 May 2026 00:00:00 +0000https://msucerl.org/cmse101/readings/week-02/<h2 id="week-2-ai-systems--data">Week 2: AI Systems &amp; Data</h2> <p><strong>Focus:</strong> How AI systems work; data and training</p> <hr> <h2 id="-required-readings">📚 Required Readings</h2> <h3 id="primary-readings">Primary Readings</h3> <ol> <li> <p><strong>&ldquo;How Machine Learning Works: The Training Process&rdquo;</strong> (25 min)</p> <ul> <li>Training data, features, and labels</li> <li>Algorithms and parameter optimization</li> <li>Testing and validation</li> </ul> </li> <li> <p><strong>&ldquo;Data: The Fuel of AI&rdquo;</strong> (20 min)</p> <ul> <li>Data collection and preparation</li> <li>Data quality and representation</li> <li>The role of big data in modern AI</li> </ul> </li> </ol> <h3 id="supplementary-resources">Supplementary Resources</h3> <ul> <li>&ldquo;The Hidden Technical Debt in Machine Learning Systems&rdquo; — Selected sections</li> <li>Interactive visualizations: Neural network playground</li> </ul> <hr> <h2 id="-discussion-prompts">💭 Discussion Prompts</h2> <ol> <li>Why is data quality more important than data quantity?</li> <li>How do training decisions affect AI system behavior in the real world?</li> <li>What role does feedback play in AI systems over time?</li> </ol> <hr> <h2 id="-preparation-for-class">📝 Preparation for Class</h2> <ul> <li>Find a dataset related to a topic you care about (e.g., Kaggle, UCI Machine Learning Repository)</li> <li>Reflect on what patterns you&rsquo;d hope an AI system would find in that data</li> <li>Consider: What could go wrong if the data was biased or incomplete?</li> </ul> <hr> <h2 id="-related-assignment">🔗 Related Assignment</h2> <p>See <a href="https://msucerl.org/cmse101/assignments/week-02/">Week 2 Assignment</a> for this week&rsquo;s task.</p>