Program on a Higher Level
Write elegant functional code to analyze data that's big or small
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.
- Intermediate Specialization.
- Some related experience required.
第 1 门课程
Scala 函数式程序设计原理当前班次：3月 27 — 5月 15。
- English, Serbian, French
第 2 门课程
Functional Program Design in Scala当前班次：3月 27 — 5月 1。
第 3 门课程
并行编程当前班次：3月 27 — 5月 1。
第 4 门课程
Big Data Analysis with Scala and Spark即将开课的班次：4月 10 — 5月 15。
第 5 门课程
Functional Programming in Scala Capstone即将开课的班次：4月 3 — 5月 22。
- 6 weeks, 4-5 hours/week
课程概述In the final capstone project you will apply the skills you learned by building a large data-intensive application using real-world data. You will implement a complete application processing several gigabytes of data. This application will show interactive visualizations of the evolution of temperatures over time all over the world. The development of such an application will involve: — transforming data provided by weather stations into meaningful information like, for instance, the average temperature of each point of the globe over the last ten years ; — then, making images from this information by using spatial and linear interpolation techniques ; — finally, implementing how the user interface will react to users’ actions.
Dr. Heather Miller
Prof. Viktor Kuncak
Dr. Aleksandar Prokopec
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