Number of hours
- Lectures 13.5
- Projects -
- Tutorials -
- Internship -
- Laboratory works 6.0
- Written tests -
ECTS
ECTS 2.5
Goal(s)
- identify and use statisticals tests;
- choose and use the appropriate statistical test ;
- know algorithm like PCA and be aware of the curse of dimensionality;
- manipulate linear regression and logistic regression;
- introduce principles of data mining and algorithm of classification and clustering;
- be aware of applications in information security.
Responsible(s)
Didier BARCELO
Content(s)
Principles of statistical tests
Supervised and unsupervised learning,
Linear and logistic regression,
Data mining : Classification and Clustering,
kNN, CAH, SVM, k-means, Dbscan,
Applications in information security,
PCA and curse of dimensionality
MA331 (Probability and statistic)
Test
TP
DM
E1 : evaluation
E2 : evaluation, session 2.
Calendar
The course exists in the following branches:
- Curriculum - Network and computer science - Semester 7
Additional Information
Course ID : 4AMMA431
Course language(s):
The course is attached to the following structures:
You can find this course among all other courses.
Bibliography
Histoire des codes secrets, Simon Singh, éd. Livre De Poche
La cryoptographie décryptée, D. Baker & H. X. Mel, éd. CampusPress