Objectives of Programme's Learning Outcomes

• Understand the fundamentals of computer science
• Show an understanding and deep knowledge of the concepts of computer science and mathematical formalisms used in the field of computer science
• Solve exercises and computer problems by applying basic knowledge in the various disciplines of computer science
• Demonstrate basic knowledge and know-how in related fields
• Demonstrate knowledge and basic skills in science and technology.
• Manage IT projects
• Apply appropriate technological and scientific ICT approaches
• Understand the fundamentals related to scientific methods
• Develop skills of abstraction and modelling through a conceptual and scientific approach
• Understand the fundamentals of communication
• Communicate information (both orally and in writing) relating to the field of computer science in an intelligible, clear and structured way

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, Erlang, 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 languages supporting functional programming.

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
- Lazy evaluation and the use of streams for manipulating infinite data sequences
- 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.