Informations du cours

General description

This course is in the program "Genomics and Digital Health" of the doctoral school in "Life Sciences from the Faculties of Medicine and Science", and is open to all programs of the PhD school of Life Science. It is taught by PIs participating in the program and several external teachers. It will cover both theoretical aspects such as the introduction to general concepts of Artificial Intelligence and more specifically Machine Learning main concepts, and technical aspects including workshops in Natural Language, time-series and Imaging processing for modelling, automatic classification, and information extraction tasks. See full course dates & content on Moodle.

Course coordinator

Prof. Lovis

Course teachers

Dr. Preti

Dr. Bjelogrlic

Schedule

5^th - 9^th  of May 2025:

Monday 5^th of May 2025-> 8:15AM-12:00AM and 2:15PM-6PM

Tuesday 6^th of May 2025-> 8:15AM-12:00AM and 2:15PM-6PM

Wednesday 7^th of May 2025-> 8:15AM-12:00AM and 2:15PM-6PM

Thursday 8^th  of May 2025-> 8:15AM-12:00AM and 2:15PM-6PM

Friday 9^th of May 2025-> 8:15AM-12:00AM and 2:15PM-6PM

Place

Teaching objectives

•  Foster critical scientific thinking.

•  Become familiar with available platforms and services.

•  Learn about the challenges arising in Artificial Intelligence in Health.

•  Complement scientific knowledge with additional skills.

Teaching format

10x half day sessions of interactive teaching and sessions, combining theoretical background course, practical workshops and hands-on personal project presentations and focus group discussions.

Prerequisites

•  No previous knowledge is required.

Level

Basic-Intermediate

Practical Information

Please register via the Moodle platform (requires an unige.ch email address).

Note that the course is open to students in both Faculties (Science, Medicine) with a maximum of 20 people.