Antonio Calcagnì

University of Padova

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In my courses, I focus on teaching statistics and data analysis for social and behavioral sciences. From time to time, I enjoy teaching programming languages for scientific computing such as R, Matlab, and Julia at master's and doctoral levels.

Thesis projects: I follow several research projects, both theoretical and applied, in the fields of applied statistics, soft computing, and data mining. Undergraduate and prospective PhD students interested in collaborating with me may either join an ongoing project or develop a research topic of their own. For any further information contact me directly.

Teaching materials (selected)

Note. The online materials are provided as is, without any warranty. Please, note that some of them are provided in Italian. If you encounter errors or have questions, please feel free to contact me.

Social Network Analysis (An introduction) (EN)
Type: Post-Graduate, Master's degree at University of Salento
Academic Year: [23-24]

PSQ1096299 Statistical methods and data analysis in psychology (EN)
Type: Graduate, MSc at University of Padova
Academic Year: [21-22] [23-24]

PSP6075525 Statistical methods in psychometrics (IT)
Type: Undergraduate, BSc at University of Padova
Academic Year: [19-20] [20-21] [21-22] [22-23] [23-24]

Analysis of uncertain data (EN)
Type: Graduate, MSc at Warsaw University of Technology
Academic Year: [23-24]

Basics of statistical inference with R (EN)
Type: Post-graduate, PhD at University of Padova
Academic Year: [22-23]

Basics of programming and applications with R (EN)
Type: Post-graduate, PhD at University of Padova
Academic Year: [20-21] [21-22]

GLMs: Case studies (EN)
Type: Post-graduate, PhD at University of Padova
Academic Year: [20-21] [21-22]