TU INF-GRAM - Artificial intelligence programming |
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Objective |
To show the student how to use in practice the main artificial intelligence based methodologies to analyse health data. |
Knowledge to be acquired |
Main machine learning algorithms and methodologies to deal with health data and how to implement them in practice using Python. |
Skills to be acquired |
Being able to develop an artificial intelligence based solution dealing with a health dataset using python. |
Description |
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Pedagogical method |
Courses on-line by NetConference, distance mentoring over the Internet. |
Pre-requisite |
Basic knowledge of programming, having done the module INF-PROF or equivalent. |
Total hours |
Around 18 hours per NetConference + personal work. |
ECTS |
4 |
Place |
Faculté des sciences médicales et paramédicale de Marseille |
Dates |
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Head |
R. Ureña |
Teachers |
R. Ureña |
TU – mandatory |
This TU is mandatory for the Master 2 of Public Health:
This TU is mandatory for the postgraduate diploma DESU:
This TU is mandatory for the postgraduate diploma CESU:
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TU – optional |
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Assessment of knowledge |
A single examination is organised, in accordance with the Aix Marseille University rule. For this single session, the assessment of knowledge of this teaching unit is based on:
Within the framework of the Master's degree, the threshold mark for the UE is set at 8. If the overall mark obtained is ≥ 8 and < 10, the UE can be compensated if the overall average of the semester is ≥ 10. In the framework of the DESU and of the CESU, there is no compensation between UE. |
Educational resources |
Course materials on the Internet. |