Information Analysis and Processing for Training — Bachelor's Degree, 2026/2027

About this edition

• Degree: Bachelor’s Degree in Sports Science, University of Udine
• Module: Sistemi di Analisi ed Elaborazione delle Informazioni per l’Allenamento (MM2542), within Bioingegneria e Biomeccanica delle Attività Motorie e Sportive
• Instructor: Michael Soprano, course instructor
• Workload: 2 CFU, 16 teaching hours
• Period: 28 September–23 October 2026 (eight two-hour lectures, first teaching period, second year)
• Language: Italian
• Assessment: Written exam with 31 multiple-choice questions

Learning goals

Students learn to distinguish data, information and knowledge; recognize populations, variables and measurement scales in sport datasets; understand how data, text and images are represented digitally; and use Microsoft Excel to prepare, analyse and present data in tables, charts and PivotTables.

Programme

1. Data science in sport: the DIKW model and data analysis workflow; populations, variables and measurement scales; biometric, movement and subjective data.
2. Representation and management: an introduction to files, folders and paths; structured, semi-structured and unstructured data, including CSV, JSON, XML and GPX; bits, bytes and digital encoding of text and images.
3. Analysis with Excel: workbooks, cells, formulas and functions; importing and preparing structured data; charts and PivotTables. Exercises use data from sport and training.

Materials

The instructor supplies lecture slides, recordings, exercises and sample files. Recommended reading includes Peter O’Donoghue and Lucy Holmes, Data Analysis in Sport (2015), and Michael Alexander and Dick Kusleika, Excel 365 Bible (2022).

The official UniUd module entry is the authoritative source for current teaching information.