Code
IGSF NET 4550
Level
M1
Graduate
Graduate
Semester
Spring
Domain
Réseaux
Program
Programme Ingénieur
Language
Français/French,Anglais/English
ECTS Credits
4
Class hours
45
Workload
90
Program Manager(s)
Department
- Réseaux et Services de Télécom
Organisation
Cours/TD/TP/projet/examen : 36h (cours intégré: théorie+code) / TP: 3h / présentation projet 3h / examen théorique 3hLearning objectives
• Understand machine learning methods and the algorithms involved.
• Know how to define the protocol (data preprocessing, training, testing, validation).
• Know how to interpret the results correctly.
• Understand the requirements of supervised and unsupervised methods in terms of data quantity and computational resources.
• Know how to use the libraries available in Python for machine learning.
CDIO Skills
- 1.3 - Advanced engineering fundamental knowledge, methods and tools
- 2.2.4 - Hypothesis Test, and Defense
- 2.3.2 - Emergence and Interactions in Systems
- 2.4.4 - Critical Thinking
- 3.1.2 - Team Operation
- 3.2.6 - Oral Presentations
Assessment formula
Exam/Examen: 60%
Project/Projet: 40%
(penalties for absences are applied by the teaching department)
(pénalités aux absents appliquées selon les règles de la scolarité)
Pedagogical methods
Assiduité: RP (les absences sont pénalisées en appliquant les règles de la scolarité)
Polycopiés
Python notebooks