Computational and Quantitative Biology PhD

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    Mathematics and Statistics for Life Sciences 2022

     

    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. Claudia Angelini)
    7. Multiple linear regression (Dr. Italia De Feis)
    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)

     

    Team code: m2gcqoa 

     

    Tentative Schedule

    Lesson 1: January 12 from 9:00 to 12:00

    Lesson 2: January 19 from 9:00 to 12:00

    Lesson 3: January 26 from 9:00 to 12:00

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

    Lesson 5: February 9 from 9:00 to 12:00 

    Lesson 6: February 16 from 9:00 to 12:00

    Lesson 7: February 23 from 9:00 to 12:00 

    Lesson 8: March 2 from 9:00 to 12:00

    Lesson 9: March 9 from 9:00 to 12:00

    Lesson 10: March 16 from 9:00 to 12:00

     

    Final Exams: March 23 and/or March 30. 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.

    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.

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