Programming
A.Y. 2025/2026
Learning objectives
The course introduces the student to programming in Python and solving computational problems using algorithms. The main notions of imperative programming (variables, expressions, loops, functions, recursion, input / output) and the fundamental elements of object-oriented programming are provided.
Expected learning outcomes
Students will acquire the ability to write and tune a program that automatizes simple computational tasks; they will be able to understand how a small piece of Python code works, to find the reasons of a malfunction and to correct it appropriately
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Course syllabus
Computer system overview
- computer architecture
- operating system
- computer network
- information systems
Imperative programming
- top-down / bottom-up programming
- values, variables, expressions
- I/O instructions
- constructs, selection, loop
- functions, recursion
- I/O file
- libraries
Object-oriented programming
- fields and methods
- data types (arrays, lists)
- computer architecture
- operating system
- computer network
- information systems
Imperative programming
- top-down / bottom-up programming
- values, variables, expressions
- I/O instructions
- constructs, selection, loop
- functions, recursion
- I/O file
- libraries
Object-oriented programming
- fields and methods
- data types (arrays, lists)
Prerequisites for admission
Basic computer skills.
Teaching methods
- Theoretical lectures (powerpoint and writing on whiteboard)
-Optional: the students can bring their own laptop to test the codes and algorithms that are discussed during the sessions.
-Optional: the students can bring their own laptop to test the codes and algorithms that are discussed during the sessions.
Teaching Resources
Introduction to Programming in Python: An Interdisciplinary Approach
Robert Sedgewick
Kevin Wayne
Robert Dondero
Robert Sedgewick
Kevin Wayne
Robert Dondero
Assessment methods and Criteria
- Written exam.
- Possibly oral exams, and including homework and projects.
- Possibly oral exams, and including homework and projects.
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professors:
Hachem Fatme, Kheirati Roonizi Arman
Professor(s)