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École Polytechnique Fédérale de Lausanne

Functional Programming in Scala

École Polytechnique Fédérale de Lausanne via Coursera Specialization

Overview

Discover how to write elegant code that works the first time it is run. This Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.

Syllabus

Course 1: Functional Programming Principles in Scala
- Offered by École Polytechnique Fédérale de Lausanne. Functional programming is becoming increasingly widespread in industry. This trend is ... Enroll for free.

Course 2: Functional Program Design in Scala
- Offered by École Polytechnique Fédérale de Lausanne. In this course you will learn how to apply the functional programming style in the ... Enroll for free.

Course 3: Parallel programming
- Offered by École Polytechnique Fédérale de Lausanne. With every smartphone and computer now boasting multiple processors, the use of ... Enroll for free.

Course 4: Big Data Analysis with Scala and Spark
- Offered by École Polytechnique Fédérale de Lausanne. Manipulating big data distributed over a cluster using functional concepts is rampant ... Enroll for free.

Course 5: Functional Programming in Scala Capstone
- Offered by École Polytechnique Fédérale de Lausanne. In the final capstone project you will apply the skills you learned by building a large ... Enroll for free.

Courses

Taught by

Dr. Aleksandar Prokopec, Dr. Julien Richard-Foy, Erik Meijer, Martin Odersky, Prof. Heather Miller, Prof. Viktor Kuncak and Roland Kuhn

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