Objectives of Programme's Learning Outcomes

• Have acquired highly specialised and integrated knowledge and broad skills in the various disciplines of computer science, which come after those within the Bachelor's in computer science.
• Develop and integrate a high degree of autonomy.
• Pursue further training and develop new skills independently.

Learning Outcomes of UE

Functional programming is ubiquitous in the contemporary landscape of programming languages. This programming paradigm forms the basis of dedicated programming languages such as Scheme, Haskell, OCaml, Clojure, Erlan, F# and is also integrated into more general purpose languages such as Python, Java, Scala, Go, Rust, Kotlin and many others.

At the end of this learning unit, students will be able to use the functional programming paradigm, and understand its main features, and underlying theoretical foundations. Students will have gained practical experience with functional programming using the Scheme programming language, and will be able to transfer their skills to other functional programming languages.

UE Content: description and pedagogical relevance

Functional programming is a software programming paradigm based on the notion of mathematical functions. In this learning unit we will study:
- The history and state-of-the-art in functional programming.
- Lambda calculus, the formal foundation of functional programming.
- The control structures and data structures used in functional programming.
- The syntax and semantics of the Scheme programming language.
- The importance of functional programming in today's programming language landscape.

Prior Experience

Students that select this course should already have gained a basic knowledge about programming, and have had practical experience with at least one programming language.