Computational and Quantitative Biology PhD

Probability and Statistics for Life Sciences (TEAMS CODE: m2gcqoa)

 

Overview

1. Introduction to probability and descriptive statistics (Dr. Maria Francesca Carfora) 
2. The Normal Distribution and Sampling and other distribution of interest (Dr. Maria Francesca Carfora)
3. Statistical inference: Confidence intervals (Dr. Antonella Iuliano)
4. Statistical inference: Hypothesis tests (part I) (Dr.Antonella Iuliano)
5. Statistical inference: Hypothesis tests (part II) (Dr. Antonella Iuliano)
6. Linear regression and correlation (Dr. Annamaria Carissimo)
7. Multiple linear regression (Dr. Annamaria Carissimo)
8. Principal component analysis (Dr. Italia De Feis)
9. Advanced approaches for Regression: Model selection, (Dr. Claudia Angelini)
10. Advanced approaches for Regression: Regression and Regularization (Dr. Claudia Angelini)

 

Lessons: about 2 hours of theory (i.e., 1 h and 45 minutes of effective time) plus 1 h examples and discussion (i.e., about 45minutes effective time)

 

Tentative Schedule

Lesson 1: January 12 from 9:00 to 12:00 (Carfora)

Lesson 2: January 19 from 9:00 to 12:00 (Carfora)

Lesson 3: January 27 from 9:00 to 12:00 (Iuliano)

Lesson 4: February 2 from 9:00 to 12:00) (Iuliano)

Lesson 5: February 9 from 9:00 to 12:00 (Iuliano)

Lesson 6: February 16 from 9:00 to 12:00 (Carissimo)

Lesson 7: February 23 from 9:00 to 12:00 (Carissimo)

Lesson 8: March 2 from 9:00 to 12:00 (De Feis)

Lesson 9: March 9 from 9:00 to 12:00 (Angelini)

Lesson 10: March 16 from 9:00 to 12:00 (Angelini)

 

Final Exams: March 27,29 and/or March 30.

About 15 minutes of project presentation.

 

Emails:

Francesca Carfora This email address is being protected from spambots. You need JavaScript enabled to view it.

Antonella Iuliano This email address is being protected from spambots. You need JavaScript enabled to view it.

Annamaria Carissimo  This email address is being protected from spambots. You need JavaScript enabled to view it.

Italia De Feis This email address is being protected from spambots. You need JavaScript enabled to view it.

Claudia Angelini This email address is being protected from spambots. You need JavaScript enabled to view it.