5 🗒️ Syllabus
The lecture slides, notes, tutorials, and assignments will be posted on this drive , feel free to jump on it. please do not anticipate questions that we will address in class, instead drop me a mail if you are not sure about something.
If for any reasons you have trouble accessing the G Drive, still please contact your teaching assistant. One common issue students complain is that you may need to be authorization to access, because I may have forgotten to switch on the open to share option. If you see me, knock me on the shoulder!
This schedule is subject to change according to the pace of the class and we may schedule a further lab if you feel you are not really ready for the intermediate exam.
This is the updated edition of this course with Dr. Niccolò Salvini (Part 1) and Prof. Sophie Dabo-Niang (Part 2).
5.1 Course Materials
All course materials are available in the slides/ folder:
5.1.1 Part 1: The Foundations (Dr. Niccolò Salvini)
Slides by Dr. Niccolò Salvini: - Hypothesis Testing with Null Hypothesis - Hypothesis Testing with Alternative Hypothesis - How to Calculate P-values - Hypothesis Testing on Averages - Exercises on Hypothesis Testing - Multiple Linear Regression - Nonlinear Regression - Introduction to Linear Regression - Introduction to Logistic Regression
Slides by Prof. Vincenzo Nardelli: - Linear Regression
Laboratori Modulo 2 (Dr. Niccolò Salvini): - PCA & Correspondence Analysis - Hierarchical Clustering - K-Means Clustering
5.2 Course Structure
Part 1: The Foundations (Dr. Niccolò Salvini) - 5 hours of integrated labs during regular lectures - Mondays: 14:00 - 17:00 CET - Tuesdays: 10:00 - 13:00 CET
Part 2: Advanced Modeling (Prof. Sophie Dabo-Niang) - 5 hours intensive session during the week of November 17th
to be ready:
| Date | Description | Materials | Events |
|---|---|---|---|
| Sept 22-23 | Introduction to RStudio + Hypothesis Testing Fundamentals | Null Hypothesis Testing | Laboratory + Lecture |
| Sept 22-23 | Alternative Hypothesis Testing + P-values Calculation | Alternative Hypothesis | Laboratory + Lecture |
| Sept 22-23 | How to Calculate P-values | P-values Calculation | Laboratory + Lecture |
| [TBD] | Hypothesis Testing on Averages | Testing on Averages and Exercises | Laboratory |
| [TBD] | Chi-Square Tests (more than 2 proportions) | Null Hypothesis Testing | Laboratory |
| Sept 29-30, Oct 6-7 | Simple Linear Regression | Introduction to Linear Regression, Linear Regression | Laboratory + Theory |
| Sept 29-30, Oct 6-7 | Multiple Linear Regression | Multiple Linear Regression | Laboratory + Theory |
| Sept 29-30, Oct 6-7 | Nonlinear Regression + Dummy Variables | Nonlinear Regression | Laboratory + Theory |
| Oct 7 | Logistic Regression | Introduction to Logistic Regression | Laboratory + Theory |
| [TBD] | First Intermediate Exam (Part 1) | Exam | |
| Week of Nov 17th | Intensive Session - Advanced Modeling | Materials provided during session | Laboratory |
| [TBD] | Second Intermediate Exam (Part 2) | Exam |