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Course title

Module [VIS2]: Data Visualization

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 (ergonomics criteria) and technical aspects arising when attempting to visualize multivariate, heteroscedastic, and time-dependent bigdata.

Course coordinator

M. Bjelogrlic and D. Keszthelyi -> contact via GESAN-info@unige.ch

Course teachers

C. Lovis

J. Rochat

V. Garretas Ruiz

A. Villaverde

M. Vogel

M. Bjelogrlic

H. Turbé

D. Keszthelyi

Schedule

Monday 8th of November 2021-> 8:15AM-12:00AM and 2:15PM-6PM

Tuesday 9th of November 2021-> 8:15AM-12:00AM and 2:15PM-6PM

Monday 15th of November 2021-> 8:15AM-12:00AM and 2:15PM-6PM

Tuesday 16th of November 2021-> 8:15AM-12:00AM and 2:15PM-6PM

Place

CMU, (exact room will soon be communicated) or zoom

Teaching objectives

•  Foster critical scientific thinking.

•  Become familiar with available platforms and services.

•  Learn about the challenges arising in Data Visualization.

•  Complement scientific knowledge with additional skills.

Teaching format

8x 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

Note that the course is open to students in both Faculties (Science, Medicine) with a maximum of 15 people.


Selbsteinschreibung als 'Teilnehmer/in'