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FABRIZIO IOZZI

FABRIZIO IOZZI
Lecturer
Department of Computing Sciences

Courses a.y. 2023/2024

20591 COMPUTER PROGRAMMING AND DATABASE SYSTEMS
20934 ALGORITHMS FOR AI - PREPARATORY COURSE
20935 CODING FOR AI - PREPARATORY COURSE
30400 MATHEMATICS AND STATISTICS - MODULE 1 (MATHEMATICS)
30407 ADVANCED MATHEMATICS AND STATISTICS - MODULE 1 (APPLIED MATHEMATICS)
30424 COMPUTER SCIENCE
30539 COMPUTER SCIENCE - MODULE 1 (INTRODUCTION TO COMPUTER SCIENCE AND PROGRAMMING)
30540 COMPUTER SCIENCE - MODULE 2 (COMPUTING THEORY AND ALGORITHMS)
30590 ADVANCED PYTHON PROGRAMMING FOR ECONOMICS, MANAGEMENT AND FINANCE

Courses previous a.y.

 

I have been Senior Lecturer in Mathematics at DEC since 2013. I teach both Theoretical Mathematics and Applied Mathematics. Currently I teach also an advanced course in Python Programming and share the Computer Science course at BAI with prof. Trevisan.

I published an introduction to the LaTeX typesetting system at

https://mediaspace.unibocconi.it/playlist/dedicated/1_gg8rcq5a/1_t5cpt4ug


Biographical note

I have a Master Degree in Mathematics (University of Milan, 1989). I have taught Mathematics, Computer Science and Computer Programming at undergraduate and graduate level since 1990 at Politecnico of Milan and from 2000 at Università Bocconi.

At Bocconi I coordinated the development and the research activities in the field of technology enhanced learning and from September 2013 to September 2016 I have been Lab Manager at BELSS, Bocconi Experimental Laboratory for the Social Sciences. From 2016 until 2022 I have been assistant to the director of the BEMACS program.

 


About

I published an introduction to the LaTeX typesetting system at

https://mediaspace.unibocconi.it/playlist/dedicated/1_gg8rcq5a/1_t5cpt4…


Selected Publications

Iozzi, Fabrizio; Francesco Trusiano; Matteo Chinazzi; Billari, Francesco Candeloro; Emilio Zagheni; Stefano Merler; Marco Ajelli; Del Fava, Emanuele; Piero Manfredi
Little Italy: An Agent-Based Approach to the Estimation of Contact Patterns- Fitting Predicted Matrices to Serological Data
PLOS COMPUTATIONAL BIOLOGY, 2010