Introduction to Data Science (MSc)
2025-fall, Università della Svizzera italiana, Faculty of Informatics, 2025
This course revisits the core foundations of data science—probability theory and statistical inference.
For schedule, room and any official updates, please refer to the USI course page.
Topics
| Topic | Lecture notes |
|---|---|
| Probability Theory Foundations for Data Science | Notes |
| Method of Moments | Notes |
| Maximum Likelihood Estimation | Notes |
| Properties of Estimators | Notes |
| Confidence Intervals and Hypothesis Testing | Notes |
| Linear Regression | Notes |
| Model Selection and Information Criteria | Notes |
| Analysis of Variance (ANOVA) | Notes |
| Mixed Models | Notes |
| Logistic Regression | Notes |
| Additive Models | Notes |
| Neural Networks | Notes |