BDS-4194: Predicting Social Behavior
Description: Overview of the process of predicting human choices, preferences, and actions in social contexts. Applications of measurement theory to data preparation, formatting, and scaling. Implications of psychological biases for data transformation and cleaning. Theory-guided predictor variable selection and development. Applications of machine learning to social settings. Evaluating prediction quality, bias, and generalizability. Developing predictive models in software. Ethical and societal implications of predicting human behavior.
Pathways: 5A Quant & Comp Thnk Adv., 10 Ethical Reasoning
Course Hours: 3 credits
Sections Taught: 1
Average GPA: 3.24 (B+)
Strict A Rate (No A-) : 14.30%
Average Withdrawal Rate: 0.00%
| Jorge I Hernandez | 2024 | 42.9% | 42.9% | 14.3% | 0.0% | 0.0% | 0.0% | 3.24 | 1 |