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Accessibility

Nadarajen Veerapen

Maître de conférences CNU : SECTION 27 - INFORMATIQUE

Teaching

SIAD Master's Degree – Information Systems and Decision Support

2025-2026

1st semester – Machine Learning (Lectures and Labs) – M2 BI and DS tracks, classic and work-study students

1st semester – Data Quality (Lectures and Labs) – M2 DS track, classic and work-study students

1st semester – Introduction to Green Cloud Computing (Lectures and Labs) – M2 BI track, classic and work-study students

1st semester – Systems and Network Architecture (Lectures and Labs) – M1 students

2nd semester – Data Visualisation (Lectures and Labs) – M1 students

2024-2025

1st semester – Machine Learning (Lectures and Labs) – M2 BI and DS tracks, classic and work-study students

1st semester – Data Quality (Lectures and Labs) – M2 DS track, classic and work-study students

1st semester – Introduction to Green Cloud Computing (Lectures and Labs) – M2 BI track, classic and work-study students

1st semester – Big Data (Lectures and Labs) – M2 BI track, classic and work-study students

1st semester – Systems and Network Architecture (Lectures and Labs) – M1 work-study students

2nd semester – Data Visualisation (Lectures and Labs) – M1 classic students

2023-2024

1st semester – Machine Learning (Lectures and Labs) – M2 BI and DS tracks, classic and work-study students

1st semester – Data Quality (Lectures and Labs) – M2 DS track, classic and work-study students

1st semester – Introduction to Green Cloud Computing (Lectures and Labs) – M2 BI track, classic and work-study students

2nd semester – Data Visualisation (Lectures and Labs) – M1 classic students

2022-2023

1st semester – Machine Learning (Lectures and Labs) – M2 BI and DS tracks, classic and work-study students

1st semester – Data Quality (Lectures and Labs) – M2 DS track, classic and work-study students

2nd semester – Data Visualisation (Lectures and Labs) – M1 classic and work-study students, M2 BIMST track, M2 BITST track

2021-2022

1st semester – Machine Learning (Lectures and Labs) – M2 BI and DS tracks, classic and work-study students

1st semester – Data Quality (Lectures and Labs) – M2 DS track, classic and work-study students

2nd semester – Data Visualisation (Lectures and Labs) – M1 classic and work-study students, M2 BIMST track, M2 BITST track

2020-2021

1st semester – Machine Learning (Lectures and Labs) – M2 DS track, classic and work-study students

1st semester – Data Quality (Lectures and Labs) – M2 DS track, classic and work-study students

2nd semester – Data Visualisation (Lectures and Labs) – M1 DS track, classic and work-study students, M2 BIMST track, M2 BITST track

2019-2020

Machine Learning (Lectures and Labs) – M2 DS track classic and work-study students, M2 BIMST track

Data Visualisation (Lectures and Labs) – M1 DS track classic and work-study students, M2 BIMST track, M2 BITST track

2018-2019

Data Visualisation (Labs) – M1 DS track classic and work-study students, M2 BITST track

Machine Learning (Lectures and Labs) – M2 BIMST track

Relational Database Management Systems (Lectures and Labs) – M1 DS track