Functional Program Design in Scala
date_range Débute le 28 janvier 2019
event_note Se termine le 4 mars 2019
list 4 séquences
assignment Niveau : Intermédiaire
chat_bubble_outline Langue : Anglais
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Les infos clés

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En résumé

In this course you will learn how to apply the functional programming style in the design of larger applications. You'll get to know important new functional programming concepts, from lazy evaluation to structuring your libraries using monads. We'll work on larger and more involved examples, from state space exploration to random testing to discrete circuit simulators. You’ll also learn some best practices on how to write good Scala code in the real world. Several parts of this course deal with the question how functional programming interacts with mutable state. We will explore the consequences of combining functions and state. We will also look at purely functional alternatives to mutable state, using infinite data structures or functional reactive programming. Learning Outcomes. By the end of this course you will be able to: - recognize and apply design principles of functional programs, - design functional libraries and their APIs, - competently combine functions and state in one program, - understand reasoning techniques for programs that combine functions and state, - write simple functional reactive applications. Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Functional Programming Principles in Scala: https://www.coursera.org/learn/progfun1.

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Le programme

  • Week 1 - For Expressions and Monads
    We'll start by revisiting some concepts that we have learned from Principles of Functional Programming in Scala; collections, pattern matching, and functions. We'll then touch on for-comprehensions, a powerful way in Scala to traverse a list, process it, and r...
  • Week 2 - Lazy Evaluation
    This week we'll revisit performance issues caused by combinatorial search, and we'll discover an important concept in functional programming that can these issues: laziness. We'll also learn a little bit about proofs on trees; in particular, we'll see how to e...
  • Week 3 - Functions and State
    This week, we'll learn about state and side-effects. Through a rich example, we'll learn programming patterns for managing state in larger programs. We'll also learn about for-loops and while-loops in Scala.
  • Week 4 - Timely Effects
    This week we'll learn a number of important programming patterns via examples, starting with the observer pattern, and then going on to functional reactive programming. We'll learn how latency can be modeled as an effect, and how latency can be handled with Sc...
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Les intervenants

Martin Odersky
Professor
Computer Science

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Le concepteur

L’École polytechnique fédérale de Lausanne (EPFL) est une institution universitaire de renommée internationale, spécialisée dans le domaine de la science et de la technologie, située à Lausanne, bien que sur le territoire communal d'Écublens, en Suisse et fondée en 1853, sous le nom d’École spéciale de Lausanne.

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La plateforme

Coursera est une entreprise numérique proposant des formations en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

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Le meilleur avis

This is the continuation of principles of functional programming. The end of week 4 is a little bit confusing. very light introduction to concepts of functional reactive programming

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le 8 avril 2017
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This is the continuation of principles of functional programming. The end of week 4 is a little bit confusing. very light introduction to concepts of functional reactive programming