Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea in Informatica - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year activated in the A.Y. 2017/2018
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One course to be chosen among the following3° Year activated in the A.Y. 2018/2019
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One course to be chosen among the following| Modules | Credits | TAF | SSD |
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Python programming language (2018/2019)
Teaching code
4S007127
Teacher
Coordinator
Credits
2
Also offered in courses:
- Python programming language of the course Master's degree in Medical Bioinformatics
- Python programming language of the course Bachelor's degree in Applied Mathematics
- Python programming language of the course Master's degree in Mathematics
- Python programming language of the course Master's degree in Computer Science and Engineering
- Python programming language of the course Bachelor's degree in Bioinformatics
- Python programming language of the course Bachelor's degree in Biotechnology
- Python programming language of the course Master's degree in Agri-Food Biotechnology
- Python programming language of the course Master's degree in Molecular and Medical Biotechnology
Language
Italian
Scientific Disciplinary Sector (SSD)
NN - -
Period
II semestre, I semestre
Learning outcomes
Acquisition of skills for basic programming in Python, with particular emphasis on the development of algorithms and the analysis of numerical and textual data.
The course scheduling is available in the e-learning platform.
Program
Introduction to Python (types, data structures, conditional statements, loops, script and functions). Python implementation of classical algorithms through assisted software production and realization of specific projects. Introduction to the use of libraries and tools for the analysis of numerical and textual data.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Maurizio Boscaini | Imparare a programmare con Python (Edizione 1) | Apogeo | 2017 | 9788850333981 | |
| Allen B. Downey | Think Python: How to Think Like a Computer Scientist 2nd Edition (Edizione 1) | O'Reilly Media | 2015 | 1491939362 |
Examination Methods
The course includes the acquisition of 2 CFU of type D (activity chosen by the student). Course attendance is not mandatory. The final exam will consist in tests and/or (to carry out) exercises on topics developed during the course. The outcome of the final exam will be passed/non-passed (no mark).
