Salvatore Cuomo

Associate Professor 


Teaching activity for 20 continuous academic years in various institutions as specified below. 


(Acronyms. UNINA: University of Naples Federico II; MGCZ: Magna Græcia University of Catanzaro; SICSI: Campania Inter-University School of Specialization for Teaching; LT: Bachelor's Degree; LM: Master's Degree; PS: First Semester; SS: Second Semester)


- a.y. 2004 – 2005 (UNINA) Numerical Calculus, Bachelor’s in Computer Engineering, PS, 6 CFU, 48 hours

- a.y. 2005 – 2006 (UNINA) Numerical Calculus, Bachelor’s in Computer Engineering, PS, 6 CFU, 48 hours

- a.y. 2006 – 2007 (UNINA) Laboratory of Parallel and Distributed Computing I, Master’s in Computer Science, PS, 6 CFU, 48 hours, Parallel and Distributed Computing II, Master’s in Computer Science, SS, 6 CFU, 48 hours, Mathematics and Computer Science Lab, at Special Enabling Courses, SS, 6 CFU, 48 hours

- a.y. 2007 – 2008 (UNINA, SICSI) Laboratory of Parallel and Distributed Computing I, Master’s in Computer Science, PS, 6 CFU, 48 hours, Parallel and Distributed Computing II, Master’s in Computer Science, SS, 6 CFU, 48 hours, Image Processing and teaching, in (class competition A42 and A034), Special Enabling Courses, Second Semester, 6 CFU, 48 hours (SICSI)

- a.y. 2008 – 2009 (UNINA) Programming Lab, Bachelor’s in Computer Science, PS, 6 CFU, 48 hours

- a.y. 2009 – 2010 (UNINA) Programming Lab, Bachelor’s in Computer Science, PS, 6 CFU, 48 hours, Module of Elements of Numerical Calculus and Computer Science in Mathematics Institutions, Bachelor’s in Science and Technology for Nature and Environment, SS, 2 CFU, 16 hours

- a.y. 2010– 2011 (UNINA) Computer Science Lab, Bachelor’s in Health Biotechnologies, PS, 5 CFU, 40 hours, Mathematics and Elements of Statistics, Bachelor’s in Health Biotechnologies, PS, 6 CFU, 48 hours, Programming II, Lab module, Bachelor’s in Computer Science, PS, 6 CFU, 48 hours, Module of Elements of Numerical Calculus and Computer Science in Mathematics Institutions, Bachelor’s in Science and Technology for Nature and Environment, SS, 2 CFU, 16 hours

- a.y. 2011– 2012 (UNINA) Computer Science Lab, Bachelor’s in Health Biotechnologies, PS, 5 CFU, 40 hours, Mathematics and Elements of Statistics, Bachelor’s in Health Biotechnologies, PS, 6 CFU, 48 hours, Programming II, Lab module, Bachelor’s in Computer Science, PS, 6 CFU, 48 hours, Numerical Calculus, Master’s in Mathematics, SS, 6 CFU, 48 hours

- a.y. 2012– 2013 (UNINA) Mathematics and Elements of Statistics, Bachelor’s in Health Biotechnologies, PS, 6 CFU, 48 hours, Programming II, Lab module Bachelor’s in Computer Science, PS, 6 CFU, 48 hours, Numerical Calculus, Master’s in Mathematics, SS, 6 CFU, 48 hours, Educational Technologies for teaching, School of Specialization for Teachers, (class competition A059 Active Training Internship – cycle I), SS, 6 CFU, 48 hours

- a.y. 2013– 2014 (UNINA) Mathematics and Elements of Statistics, Bachelor’s in Health Biotechnologies, PS, 6 CFU, 48 hours, Programming II, Lab module, Bachelor’s in Computer Science, PS, 6 CFU, 48 hours, Numerical Calculus, Master’s in Mathematics, SS, 6 CFU, 48 hours, Mathematics Teaching, School of Specialization for Teachers, University Federico II, Special Enabling Courses, (Class Competition A047 and A049), SS, 6 CFU, 48 hours

- a.y. 2014– 2015 (UNINA, MGCZ) Mathematics and Elements of Statistics, Bachelor’s in Health Biotechnologies, PS, 6 CFU, 48 hours Programming II, Lab module, Bachelor’s in Computer Science, PS, 6 CFU, 48 hours, Mathematical Analysis II, Bachelor’s in Biomedical Engineering and Computer Science, SS, 9 CFU

- a.y. 2015– 2016 (UNINA, MGCZ) Mathematics and Elements of Statistics, Bachelor’s in Health Biotechnologies, PS, 6 CFU, 48 hours, Programming II, Lab module, Bachelor’s in Computer Science, PS, 6 CFU, 48 hours, Mathematical Analysis II, Bachelor’s in Biomedical Engineering and Computer Science, SS, 9 CFU, 72 hours (MGCZ)

- a.y. 2016– 2017 (UNINA) Mathematics and Elements of Statistics, Bachelor’s in Health Biotechnologies, PS, 6 CFU, 48 hours, Programming II, Lab module, Bachelor’s in Computer Science, PS, 6 CFU, 48 hours

- a.y. 2017– 2018 (UNINA) Mathematics and Principles of Computer Science, Bachelor’s in Health Biotechnologies, PS, 11 CFU, 88 hours, Mathematics and Elements of Statistics, Bachelor’s in Molecular and Industrial Biotechnologies, PS, 9 CFU, 72 hours

- a.y. 2018– 2019 (UNINA) Mathematics and Principles of Computer Science, Bachelor’s in Health Biotechnologies, PS, 11 CFU, 88 hours, Mathematics and Elements of Statistics, Bachelor’s in Molecular and Industrial Biotechnologies, PS, 9 CFU, 72 hours, Numerical Methods for Data Analysis, Master’s in Mathematics, PS, 6 CFU, 48 hours

- a.y. 2019– 2020 (UNINA) Mathematics and Elements of Statistics, Bachelor’s in Molecular and Industrial Biotechnologies, PS, 9 CFU, 72 hours, Numerical Methods for Data Analysis, Master’s in Mathematics, PS, 6 CFU, 48 hours, Parallel and Distributed Computing, Master’s in Computer Engineering, SS, 6 CFU, 48 hours

- a.y. 2020– 2021 (UNINA) Mathematics and Elements of Statistics, Bachelor’s in Molecular and Industrial Biotechnologies, PS, 9 CFU, 72 hours, Numerical Methods for Data Analysis, Master’s in Mathematics, PS, 6 CFU, 48 hours

- a.y. 2021– 2022 (UNINA) Mathematics and Elements of Statistics, Bachelor’s in Molecular and Industrial Biotechnologies, PS, 9 CFU, 72 hours, Numerical Methods for Data Analysis, Master’s in Mathematics, PS, 6 CFU, 48 hours, Numerical Analysis of Biological Data, Bachelor’s in Health Biotechnologies, SS, 6 CFU, 48 hours

- a.y. 2022– 2023 (UNINA) Mathematics and Elements of Statistics, Bachelor’s in Molecular and Industrial Biotechnologies, PS, 9 CFU, 72 hours, Numerical Methods for Data Analysis, Master’s in Mathematics, PS, 6 CFU, 48 hours, Numerical Analysis of Biological Data, Bachelor’s in Health Biotechnologies, SS, 6 CFU, 48 hours, Scientific Computing, Master’s in Mathematics, PS, 5 CFU, 40 hours

- a.y. 2023– 2024 (UNINA) Mathematics and Elements of Statistics, Bachelor’s in Molecular and Industrial Biotechnologies, PS, 9 CFU, 72 hours, Numerical Methods for Data Analysis, Master’s in Mathematics, PS, 6 CFU, 48 hours, Mathematical Methods for Data Science, Master’s in Data Science, PS, 6 CFU, 48 hours


In February 2019, he taught a Doctorate course at the University of Geoscience Beijing China, titled: “Numerical Methods for Data Analysis” for a total of 20 hours, from February 25th to March 1st, 2019.