Biological data science I: statistical learning

BIOENG-210

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Professor: Gioele La Manno

Head Assistant: Alireza Gargoori

Teaching Assistants:
Andrea Salati
Arsh Shaikh
Ellen Dagher
Luca Fusar Bassini
Morgane Storey
Nathan Tabet
Daniele Giuli
Daniel Molinuevo


Lectures:
Mondays @ 13:15 - 15:00 in CM1 2

Excercise:
Thursdays @ 14:15-16:00 in CE1 6

The course is self-contained and the Lecture Notes shall be used as the main textbook (See also introduction to the course document below).

The following complementary textbooks can be helpful to who wants to go deeper in the topics:

• ITB - Introduction to Probability by Joseph K. Blitzstein and Jessica Hwang

• CASI - Computer Age Statistical Inference by Bradley Efron and Trevor Hastie

• ESL - The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman

• PRML - Pattern Recognition and Machine Learning by Christopher M. Bishop



As mentioned earlier, the course is self-contained, and the Lectures, Slides, and Notes are the main sources for the content that will be tested in the exam.

Nonetheless, here are a few readings that we recommend to deepen your understanding of the topics discussed in Lecture 2.

Textbook:
PRML Section 2.3.4 
CASI 4.1 & 4.2


Paper:
Schober et al. (2018) - https://journals.lww.com/anesthesia-analgesia/fulltext/2018/05000/correlation_coefficients__appropriate_use_and.50.aspx









Vacation week

(Monday there is no lecture, vacation)


No coding hands-on this week! Instead, we will have an Exercise session with problems about theory content.



No coding hands-on this week! Instead, we will have an Exercise session with problems about theory content.


The TA session will be dedicated to a second mock exam.


Thursday 29th May: no TA session, bank holiday