Computational and Quantitative Biology PhD

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    Mathematics and Statistics for Life Sciences 2021

     Overview

    1. Introduction to probability and descriptive statistics (Dr. Maria Francesca Carfora)
    2. The Normal Distribution and Sampling. Other distribution of interests (Dr. Maria Francesca Carfora)
    3. Statistical inference: Confidence intervals (Dr. Antonella Iuliano)
    4. Statistical inference: Hypothesis tests (part I) (Dr. Annamaria Carissimo)
    5. Statistical inference: Hypothesis tests (part II) (Dr. Annamaria Carissimo)
    6. Linear regression and correlation (Dr. Daniela De Canditiis)
    7. Multiple linear regression (Dr. Italia De Feis)
    8. Principal component analysis (Dr. Italia De Feis)
    9. Practical examples session (Dr. Claudia Angelini)
    10. Practical example session (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)

     

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

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

    Lesson 3: January 21 from 10:00 to 13:00

    Lesson 4: January 26 from 9:00 to 12:00

    Lesson 5: January 28 from 9:00 to 12:00

    Lesson 6: February 2 from 9:00 to 12:00

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

    Lesson 8: February 16 from 9:00 to 12:00

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

    Lesson 10: March 2 from 9:00 to 12:00

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