ESILV - Leonardo da Vinci Engineering School

Since 2014

  • Machine Learning.
  • Statistique Inférentielle.
  • Complément de formation Statistique.
    • Fall 2020-2021: Course materials .
    • Fall 2018-2019:
      • Discrete Random Variables: .
      • Continuous Random Variables: .
      • Exercises: .
      • Normal Distribution Table: .
  • Probabilités numériques (Monte Carlo methods).
    • Fall 2019-2020: Correction of the exercises .
    • Fall 2018-2019: Correction of the exercises link .
  • Probabilities & Statistics.
    • Spring 16-17:
      • Discrete Random Variables: 1 , 2 .
      • Continuous Random Variables: .
      • Slides on Continuous Random Variables: .
      • Exercises: 1 , 2 .
      • Fall 16-17
      • ,
      • Spring 15-16
      • ,
      • Fall 15-16
      • ,
      • Spring 14-15
      • .
  • Statistical inference.
    • Fall 15-16 .
  • Descriptive Statistics.
    • Fall 16-17 .

Université Paris 8

Université Paris 13

2010–2014

  • Data mining, Master 1.
  • Probabilities & Statistics, Master 1.
  • Introduction to programming, C language.
  • Relational Databases.
  • Software engineering.
  • Preparation to C2I (french internet and computer sciences certificate).

Université Joseph Fourier

2009–2010

  • Algebra.

Association Science Ouverte

2011–2012

As a volunteer to help high school students in math and physics.

Al-Mujtaba High School, Beirut

2008–2009

Math teacher, Grades 8 & 9.