To main content To navigation

Artificial Intelligence

3rd Advanced Course on Data Science & Machine Learning – ACDL 2020

When:

13 July - 17 July 2020

School:

Interdisciplinary Centre of Advanced Studies

Institution:

ICAS

City:

Grosseto

Country:

Italy

Language:

English

Credits:

8.0 EC

Fee:

550 EUR

Interested?
Please note: this course has already ended
3rd Advanced Course on Data Science & Machine Learning – ACDL 2020

About

The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic.

Course leader

Giuseppe Nicosia & Panos Pardalos

Target group

PhD students, Post-Doc, Young Scholars, Seasoned Investigators, Senior faculty

Course aim

Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless.

The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime.

Fee info

Fee

550 EUR, PhD Students

Fee

680 EUR, Regular

Interested?

When:

13 July - 17 July 2020

School:

Interdisciplinary Centre of Advanced Studies

Institution:

ICAS

Language:

English

Credits:

8.0 EC

Visit school

Stay up-to-date about our summer schools!

If you don’t want to miss out on new summer school courses, subscribe to our monthly newsletter.