About this Course
4.4
1,410 ratings
226 reviews
Specialization
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100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 16 hours to complete

Suggested: 6 hours/week...
Available languages

English

Subtitles: English

Skills you will gain

Data StructureParallel ComputingData ParallelismParallel Algorithm
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 16 hours to complete

Suggested: 6 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
12 hours to complete

Parallel Programming

We motivate parallel programming and introduce the basic constructs for building parallel programs on JVM and Scala. Examples such as array norm and Monte Carlo computations illustrate these concepts. We show how to estimate work and depth of parallel programs as well as how to benchmark the implementations....
Reading
9 videos (Total 106 min), 5 readings, 3 quizzes
Video9 videos
Introduction to Parallel Computing15m
Parallelism on the JVM I13m
Parallelism on the JVM II8m
Running Computations in Parallel13m
Monte Carlo Method to Estimate Pi4m
First-Class Tasks7m
How Fast are Parallel Programs?24m
Benchmarking Parallel Programs17m
Reading5 readings
Tools Setup10m
Eclipse Tutorial10m
IntelliJ IDEA Tutorial10m
Sbt Tutorial10m
Submitting Solutions10m
Week
2
Hours to complete
8 hours to complete

Basic Task Parallel Algorithms

We continue with examples of parallel algorithms by presenting a parallel merge sort. We then explain how operations such as map, reduce, and scan can be computed in parallel. We present associativity as the key condition enabling parallel implementation of reduce and scan....
Reading
6 videos (Total 100 min), 2 quizzes
Video6 videos
Data Operations and Parallel Mapping18m
Parallel Fold (Reduce) Operation18m
Associativity I14m
Associativity II17m
Parallel Scan (Prefix Sum) Operation24m
Week
3
Hours to complete
7 hours to complete

Data-Parallelism

We show how data parallel operations enable the development of elegant data-parallel code in Scala. We give an overview of the parallel collections hierarchy, including the traits of splitters and combiners that complement iterators and builders from the sequential case....
Reading
5 videos (Total 51 min), 2 quizzes
Video5 videos
Data-Parallel Operations I6m
Data-Parallel Operations II8m
Scala Parallel Collections15m
Splitters and Combiners7m
Week
4
Hours to complete
7 hours to complete

Data Structures for Parallel Computing

We give a glimpse of the internals of data structures for parallel computing, which helps us understand what is happening under the hood of parallel collections....
Reading
5 videos (Total 57 min), 2 quizzes
Video5 videos
Parallel Two-phase Construction14m
Conc-tree Data Structure14m
Amortized, Constant-time Append Operation11m
Conc-Tree Combiners4m
4.4
226 ReviewsChevron Right
Career direction

24%

started a new career after completing these courses
Career Benefit

22%

got a tangible career benefit from this course

Top Reviews

By ALApr 24th 2018

The course is fairly advanced and you would need to review the materials many times to understand the concept. The assignments are definitely fun and not as straightforward as other courses.

By RCAug 25th 2017

Superb study material. Learnt a lot during this course. I am not much into mathematical stuff, but got a hang of how to break problems and improve efficiency through parallelism.

Instructors

Avatar

Prof. Viktor Kuncak

Associate Professor
School of Computer and Communication Sciences
Avatar

Dr. Aleksandar Prokopec

Principal Researcher
Oracle Labs

About École Polytechnique Fédérale de Lausanne

About the Functional Programming in Scala Specialization

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....
Functional Programming in Scala

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.