Applied Statistics
Undergraduate course on probability, inference, regression, and Bayesian thinking.
Instructor: Jiadong Yu
Term: Fall / Spring
Location: HKUST(GZ)
Time: 2025 Fall; 2025/2026 Spring
Course Overview
This undergraduate course introduces the core ideas of probability and statistics for engineering and data-driven problem solving.
- Discrete random variables
- Continuous random variables
- Hypothesis testing
- Linear regression
- Bayesian inference
Offerings
- UFUG 2104
- Semesters: 2025 Fall; 2025/2026 Spring
- Level: Undergraduate
Topics
- Basic concepts of probability and statistics
- Discrete and continuous random variables
- Statistical inference and hypothesis testing
- Simple linear regression and practical applications
- Introductory Bayesian inference
- Data analysis and implementation with software tools
Teaching Focus
The course is designed to help undergraduate students build intuition for uncertainty, inference, and data analysis while connecting statistical theory with practical applications.