Teaching
Other
- Instructor of “Data Visualisation and Advanced Data Analysis” at AIMS Ghana (African Institute of Mathematical Sciences) (2019) (jointly with Craig Anderson)
- Invited instructor at the 1st LARS-IASC School on Computational Statistics and Data Science - Statistics of extremes: Modelling, inferences, and applications, in Salvador, Brazil (2018) (jointly with Dani Gamerman and Miguel de Carvalho).
IE University
2023/2024- Mathematics Fundamentals. Master in Computer Science & Business Technology (6 sessions)
- Discrete Mathematics for Computing. Master in Computer Science & Business Technology (15 sessions)
- Statistics for Data Science. Master in Business Analytics & Big Data (15 sessions - 2 groups)
- Machine Learning I. Master in Business Analytics & Big Data (20 sessions)
- Applied Machine Learning using Graphs. Bachelor in Data & Business Analytics (15 sessions)
- Bayesian Statistics. Bachelor in Data & Business Analytics (15 sessions)
- Probability for Computing Science. Bachelor in Computer Science & Artificial Intelligence (15 sessions - 2 groups)
- Mathematics Fundamentals. Master in Computer Science & Business Technology (6 sessions)
- Mathematics Fundamentals. Master in Digital Business & Innovation (6 sessions - 2 groups)
- Discrete Mathematics for Computing. Master in Computer Science & Business Technology (15 sessions)
- Bayesian Statistics. Bachelor in Data & Business Analytics (15 sessions)
- Probability for Computing Science. Bachelor in Computer Science & Artificial Intelligence (15 sessions)
- Simulation and Modelling to Understand Change. Bachelor in Data & Business Analytics (35 sessions - 2 groups)
- Maths for Computing. Master in Computer Science & Business Technology (15 sessions - 2 groups)
- Maths Lab. Master in Computer Science & Business Technology (6 sessions - 2 groups)
- Stats and Probabilities. Master in Computer Science & Business Technology (20 sessions - 2 groups)
- Bayesian Statistics. Bachelor in Data & Business Analytics (15 sessions)
- Probability for Computing Science. Bachelor in Computer Science & Artificial Intelligence (15 sessions)
- Simulation and Modelling to Understand Change. Bachelor in Data & Business Analytics (35 sessions - 2 groups)
- Maths for Computing. Master in Computer Science & Business Technology (15 sessions)
- Maths Lab. Master in Computer Science & Business Technology (6 sessions)
- Stats and Probabilities. Master in Computer Science & Business Technology (20 sessions)
- Bayesian Statistics. Bachelor in Data & Business Analytics (15 sessions)
- Simulation and Modelling to Understand Change. Bachelor in Data & Business Analytics (35 sessions - 2 groups)
- Maths for Computing. Master in Computer Science & Business Technology (20 sessions)
- Maths Lab. Master in Computer Science & Business Technology (6 sessions)
- Simulation and Modelling to Understand Change. Bachelor in Data & Business Analytics (35 sessions)
- Fundamentals of Probability and Statistics. Bachelor in Data & Business Analytics (35 sessions)
University of Glasgow
2018/2019- Introduction to R Programming. Master in Statistics (20 sessions)
- Introduction to R Programming. Bachelor in Statistics (20 sessions)
- Design of Experiments. Bachelor in Statistics (24 sessions)
- Data Analysis. Master in Statistics (20 sessions)
- Introduction to R Programming. Bachelor in Statistics (20 sessions)
- Design of Experiments. Bachelor in Statistics (24 sessions)
- Introduction to Probability and Statistics. PhD Course - College of Science (15 sessions)
- Data Analysis. Master in Statistics (20 sessions)
- Design of Experiments. Bachelor in Statistics (24 sessions)
- Introduction to Probability and Statistics. PhD Course - College of Science (15 sessions)
manuele.leonelli@ie.edu
Assistant Professor of Statistics
School of Science and Technology
IE University, Madrid, Spain
