Learning Outcomes:
Upon course completion, students will be well-prepared to:
- Master fundamental quantitative methods, from basic analysis to advanced regression, effectively conveying numerical data.
- Evaluate published research critically, applying linear models skillfully.
- Translate concepts from class into programming skills in R and LaTeX, aligning with industry and academia norms.
Indicative Module Content:
The curriculum will cover these key areas:
• Exploring and manipulating data
• Linear regression analysis
• Logit and Probit models
• Model specification and diagnostics
• Dummy variable and interactions