Introduction à l'informatique décisionnellepréorientation ACAD (GSI)
Introduction to Decision Support Systems
Teaching unit pre-orientation ACAD · GI.PS8.ACAD
3ECTS (EU)
2Coefficient
21:20Hours
Séquencement
Learning objectives
- Ability to analyze massive data
- Understanding the implications of developing automatic learning algorithm
Prerequisites
| Module | Teaching unit | Semester |
|---|---|---|
| Probabilities and statistics | Mathematics and Computer Science 1 | S5 |
| Application Development | Mathematics and Computer Science 3 | S7 |
Program
This course is an introduction to the "analysis" and "decision" modules delivered within the ACAD 5th year GSI option.
The first part of the course concerns mastering the use of descriptive statistics in order to be able to identify trends in massive data. Particular attention will be paid to statistics and representations:
- one-dimensional (mean/median/quartiles, histograms, dispersal boxes)
- two-dimensional (correlation/covariance)
- Multi-dimensional (calculation and interpretation of the analysis into main components)
The second part will cover the basics of machine learning approaches. The teaching will be based on linear models to explain the expectations of a machine learning algorithm (overlearning phenomenon, regularization, probabilistic modelling, optimality, etc.).
Assessment
Two TPs rated (one on each part of the course) of equal importance.
Skills
2| Ref. | Verb | Description | Level |
|---|---|---|---|
| C2_2 | analyze | Mastery of descriptive statistical tools applied to mass data | 3 |
| C3_1 | design | Designing simple and reliable machine learning solutions | 1 |