Scientific Programming

The official website of the Scientific Programming course, part of the Data Science degree programme at the University of Trento, for the 2026/2027 academic year.

Timetable and Lecture rooms

For the part A lab:

• Tuesdays 16.30 - 18.30, room A201

• Fridays 15.30 - 17.30, room A201

Course Overview

Topics covered in this course include:

• Datastructures

• Controlflow

• Functions

• Recursion

• Pandas

• Numpy

• OOP

Learning Objectives

By the end of the course, students should be able to:

• Develop programs to solve problems

• Analyze and visualize data

• Write clear code

• Apply computational techniques to real-world problems

Lectures

Lectures

• Installation

Commandments

Commandments

• Rules You Shall Not Break

Resources

• Install Python via Miniconda ***Recommended***

Alternatively:

• Install Python on Windows

• Install Python on Linux

• Install Python on MacOS

Assessment

TBD

Acknowledgements

This course incorporates materials by David Leoni, licensed under CC BY 4.0. Changes include formatting, restructuring, and updates for this course.

Contact

For questions about the course, please contact erich[dot]robbi[at]unitn[dot]it