COM-508 / 8 crédits

Enseignant: Profs divers *

Langue: Anglais

Remark: for students doing a minor in Data Science : Registration upon authorization of the section. Only for 2nd year Master students. Supervision by an IC professor


Summary

Individual research during the semester under the guidance of a professor or an assistant.

Content

Learning Outcomes

By the end of the course, the student must be able to:

  • Organize a project
  • Assess / Evaluate one's progress through the course of the project
  • Present a project

Transversal skills

  • Write a literature review which assesses the state of the art.
  • Write a scientific or technical report.

Teaching methods

Individual and independant work, under the guidance of a professor or an assistant.

Expected student activities

Written report due within the allotted time.

Information on the format and the content of the report is provided by the proejct supervisor.

Assessment methods

Autumn : The written report must be returned to the laboratory no later than the Friday of the second week after the end of the classes.

Spring : The written report must be returned to the laboratory no later than the Friday of the first week after the end of the classes.

The oral presentation is organized by the laboratory.

Dans les plans d'études

  • Semestre: Automne
  • Forme de l'examen: Pendant le semestre (session d'hiver)
  • Matière examinée: Optional project in data science
  • Projet: 2 Heure(s) hebdo x 14 semaines
  • Semestre: Printemps
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Optional project in data science
  • Projet: 2 Heure(s) hebdo x 14 semaines
  • Semestre: Automne
  • Forme de l'examen: Pendant le semestre (session d'hiver)
  • Matière examinée: Optional project in data science
  • Projet: 2 Heure(s) hebdo x 14 semaines
  • Semestre: Printemps
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Optional project in data science
  • Projet: 2 Heure(s) hebdo x 14 semaines
  • Semestre: Automne
  • Forme de l'examen: Pendant le semestre (session d'hiver)
  • Matière examinée: Optional project in data science
  • Projet: 2 Heure(s) hebdo x 14 semaines
  • Semestre: Printemps
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Optional project in data science
  • Projet: 2 Heure(s) hebdo x 14 semaines

Semaine de référence

 LuMaMeJeVe
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22