Methods of experimental data analysis and report with Matlab, a gentle introduction (2023/2024)

Course code
cod wi: dt001011
Name of lecturer
Giuseppe Bertini
Coordinator
Giuseppe Bertini
Number of ECTS credits allocated
4
Academic sector
BIO/17 - HISTOLOGY
Language of instruction
Italian
Location
VERONA
Period
Anno accademico 2023/2024 Dottorato di Ricerca dal Oct 1, 2023 al Sep 30, 2024.

Lesson timetable

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Syllabus

Matlab is a numerical computing environment and high-level programming language. In the context of biomedical research, Matlab can be used to automate a wide variety of tasks, including record keeping, data analysis, and report generation.
Matlab favors scripting, i.e., writing in a text file a sequence of commands that can be executed reliably and consistently. Used properly, this method can be orders of magnitude more efficient and error-proof than interactive sessions with the most common computing platforms (e.g., Excel, SPSS, etc.) A well-tested script can be seamlessly run against any number of datasets and applied to similar experimental situations. Importantly, the scripts themselves represent accurate documentation of the performed analyses.
While a relatively steep learning curve is inevitable, especially in the absence of anyc omputer programming background, Matlab can be mastered in small, incremental steps.
This mini course is intended as a general introduction to the concept of automated data analysis and report. The Matlab interface
and the fundamentals of the scripting language will be presented first. A small set of common data analysis problems will then be tackled in the Matlab environment.
Please note that the available time is not sufficient to provide a detailed, in-depth knowledge of the language. My goal is to demystify the technology and provide insight into what can be accomplished and what the main hurdles are. Further training will be required to become fully proficient.

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