Teaching activities

Current teaching

• Algorithms for massive data (DSEH)

  master · University of Milan · EN · 3 credits · 20 hours

  The objective of the course is to introduce the fundamental concepts at the basis of massive data management and analysis, including the main processing techniques dealing with data at massive scale and their implementation on distributed computational frameworks.

  Course page 2025-262024-25 2023-24 2022-23 2021-22 2020-21

• Algorithms for massive datasets

  master · University of Milan · EN · 6 credits · 48 hours

  The course aims at describing the big data processing framework, both in terms of methodologies and technologies.

  Course page 2025-262024-25 2023-24 2022-23 2021-22 2020-21 2019-20

• Statistics and data analytics

  bachelor · University of Milan · IT · 6 credits · 60 hours

  The course aims at introducing the fundamentals of descriptive statistics, probability and parametric inferential statistics.

  Course page 2026-272025-26 2024-25 2023-24 2022-23 2021-22 2020-21 2019-20 2018-19 2017-18 2016-17 2015-16

Past courses

Bachelor, master and PhD

The pages of past editions are kept as an archive: some materials may no longer be available.

• Deep learning in bioinformaticsPhD · University of Milan · EN · 4 hours2023-24
• Efficacy and efficiency evaluation of machine learning modelsPhD · University of Milan · EN · 10 hours2023-24
• Computer programming for data analysisDUT · Université de la Côte d'Azur · FR · 20 hours2021-22 2020-21 2019-20
• Architectural patterns for distributed machine learning applicationsPhD · University of Milan · EN · 4 hours2019-20
• Computing educationmaster · University of Milan · IT · 2 credits · 16 hours2019-20 2018-19 2017-18 2016-17 2015-16 2014-15
• Big scale analyticsmaster · University of Milan · IT · 6 credits · 48 hours2018-19 2017-18 2016-17 2015-16 2014-15 2013-14 2012-13
• Data bases IIDUT · Université de la Côte d'Azur · FR · 38 hours2018-19
• Data miningDUT · Université de la Côte d'Azur · FR · 18 hours2018-19
• Analysis of multidimensional dataPhD · University of Milan · EN · 10 hours2017-18
• Simulationmaster · University of Milan · IT · 3 credits · 24 hours2016-17 2014-15 2012-13 2008-09 2007-08 2006-07
• Big data analytics and technologiesPhD · University of Milan · EN · 6 hours2015-16
• Big data and digital methodsmaster · University of Milan · EN · 3 credits · 40 hours2015-16
• Computer programming 3master · University of Milan · IT · 3 credits · 21 hours2015-16 2013-14 2011-12
• Operating systemsbachelor · University of Milan · IT · 6 credits · 48 hours2014-15 2013-14 2012-13 2011-12 2010-11
• Computer programming 1bachelor · University of Milan · IT · 9 credits · 72 hours2011-12
• Software designmaster · University of Milan · IT · 6 credits · 48 hours2010-11
• Computing systems 2master · University of Milan · IT · 4 credits · 24 hours2009-10 2008-09 2007-08 2006-07
• Laboratory of computer programming 1bachelor · University of Milan · IT · 3 credits · 48 hours2009-10 2008-09 2007-08 2006-07 2005-06 2004-05 2003-04
• Theoretical bases for learningmaster · Université Victor Segalen Bordeaux 2 · EN · 10 hours2005-06 2002-03
• Computer Sciencebachelor · University of Milan · IT · 3 credits · 40 hours2004-05 2003-04
• Computer Sciencebachelor · University of Milan · IT · 30 hours2004-05 2003-04

Other activities

• Algorithms and data organization in bioinformatics2nd lev. specialization · University of Milan · EN · 10 hours2018-19
• Computer programming for bioinformatics and data science2nd lev. specialization · University of Milan · EN · 12 hours2018-19
• Data integration and visualization2nd lev. specialization · University of Milan · EN · 2 hours2018-19
• Computer science applied to clinical studies2nd lev. specialization · University of Milan · IT · 12 hours2017-18
• Data science seminarsmaster · Université de la Côte d'Azur · EN · 6 hours2017-18 2016-17
• Elements of R and python2nd lev. specialization · University of Milan · IT · 10 hours2017-18
• Parallel and distributed computing2nd lev. specialization · University of Milan · IT · 20 hours2017-18
• Computer programming educationTFA · University of Milan · IT · 18 hours2014-15
• Computing educationPAS · University of Milan · IT · 16 hours2013-14
• Teaching strategies for operating systems and networks laboratoriesTFA · University of Milan · IT · 14 hours2012-13
• Symbolic processing laboratorySILSIS · University of Milan · IT · 20 hours2006-07
• From synapses to rules - discovering symbolic rules from neural processed dataInternational School on Neural Networks "E. R. Caianiello", 6th course · EN · 4 hours2001-02
• From synapses to rules - discovering symbolic rules from neural processed dataTMR-EC International School on Computational Learning · EN · 4 hours2001-02