Applications of Data Science and Artificial Intelligence - 4MMASDIA

Goal(s)

Current developments in data science and artificial intelligence are booming in applications. These developments are particularly relevant to the areas of life sciences, health and well-being, ecology and sustainable development, transport and citizen safety. The acquisition of fundamental knowledge in these areas will then appear as a necessity for mathematicians and computer scientists involved in these applications. In this context, this module is an introduction to the applications of data science and artificial intelligence in the form of mini-projects in inverse classrooms.

Content(s)

The course is divided into 4 supervised projects, divided into 3 sessions, giving rise to a report at the end of the third session. Project themes are likely to vary from year to year. They include

• Recognition of images by classification methods
• Modeling biodiversity: Yule's law
• Alignment algorithms for bioinformatics
• Modeling of cooperation and game theory
• Analysis of cell proliferation and differentiation in cancer
• Modeling gene networks with intelligent agents
• Imputation of missing data and recommendation system
• Textual analysis and sentiment analysis

None.