Phelma Formation 2022

Artificial Intelligence for the IoT - 4PMIIAI

  • Number of hours

    • Lectures 8.0
    • Projects 0
    • Tutorials 8.0
    • Internship 0
    • Laboratory works 8.0

    ECTS

    ECTS 1.5

Goal(s)

The Internet of Things (IoT) refers to networks of physical objects that contain sensors, actuators, and software that are constantly connected to each other and/or to the outside world (Internet). These objects can be found everywhere, whether in the professional (industry 4.0, health), public (smart cities) or private sphere (smart watch, smart speaker, smart home). These objects collect a large amount of data that we seek to exploit to increase their reasoning capacity. In this course, after a short introduction to what is called Artificial Intelligence (AI), we will see which AI techniques can be used to improve the communication, perception and reasoning capacities of IoT objects.

Contact Danielle ZIEBELIN

Content(s)

The program will contain the following courses

1. Introduction to AI
2. Symbolic AI -- Ontology
3. Probabilistic Models
4. Artificial Neural Networks
5. Deep Learning

Each of the topics covered will be the subject of a practical work.



Prerequisites

basics in probability and statistics
basics in programming (Python, Java)

Test

    • In case of face-to-face teaching **
      N1 = written exam
      N2 = written exam
    • In case of remote teaching **
      N1 = TP rendering
      N2 = oral


    • MCC en présentiel **
      N1 = examen écrit
      N2 = examen écrit
    • MCC en distanciel **
      N1 = rendus de TP
      N2 = oral

Additional Information

Course list
Curriculum->Engineering degree->Semester 8

Bibliography

Russell, S., & Norvig, P. (2002). Artificial intelligence: a modern approach. Prentice Hall series in artificial intelligence.
Goodfellow, I., Bengio, Y., Courville, A., & Bengio, Y. (2016). Deep learning (Vol. 1). Cambridge: MIT press.