Advanced Computer Programming
A.Y. 2019/2020
Learning objectives
The objective of the course is to present, discuss and experiment on state-of-the-art computer programming paradigms.
Expected learning outcomes
The expected learning outcomes are both methodological and technical: to sharpen student skills in considering the most suitable programming technique, and the most pertinent computer implementation, in various contexts; to learn up-to-date real world programming languages and tackle practical programming tasks.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Course syllabus
Advanced Computer Programming Paradigms:
- Functional Programming
- Data Driven Programming
- Abstract Data Typing, Object Orientation, Generic Programming
- Meta programming
Applications:
- Training for industrial computer programming challenges
- Functional Programming
- Data Driven Programming
- Abstract Data Typing, Object Orientation, Generic Programming
- Meta programming
Applications:
- Training for industrial computer programming challenges
Prerequisites for admission
Computer Programming Basics
Algorithms and Data Structures
Algorithms and Data Structures
Teaching methods
Theory lectures and lab sessions
Teaching Resources
Computer codes, tutorials and examples given during the lectures
Assessment methods and Criteria
Development of an individual project
Oral exam
Oral exam
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professor:
Ceselli Alberto
Shifts:
-
Professor:
Ceselli AlbertoProfessor(s)