About this Course
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Flexible deadlines

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Intermediate Level

Approx. 16 hours to complete

Suggested: 6 hours/week...

English

Subtitles: English

Skills you will gain

Data StructureParallel ComputingData ParallelismParallel Algorithm

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 16 hours to complete

Suggested: 6 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
11 hours to complete

Parallel Programming

9 videos (Total 106 min), 4 readings, 3 quizzes
9 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
4 readings
Tools Setup10m
IntelliJ IDEA Tutorial10m
Sbt Tutorial10m
Submitting Solutions10m
Week
2
8 hours to complete

Basic Task Parallel Algorithms

6 videos (Total 100 min), 2 quizzes
6 videos
Data Operations and Parallel Mapping18m
Parallel Fold (Reduce) Operation18m
Associativity I14m
Associativity II17m
Parallel Scan (Prefix Sum) Operation24m
Week
3
7 hours to complete

Data-Parallelism

5 videos (Total 51 min), 2 quizzes
5 videos
Data-Parallel Operations I6m
Data-Parallel Operations II8m
Scala Parallel Collections15m
Splitters and Combiners7m
Week
4
7 hours to complete

Data Structures for Parallel Computing

5 videos (Total 57 min), 2 quizzes
5 videos
Parallel Two-phase Construction14m
Conc-tree Data Structure14m
Amortized, Constant-time Append Operation11m
Conc-Tree Combiners4m
4.5
243 ReviewsChevron Right

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started a new career after completing these courses

21%

got a tangible career benefit from this course

Top reviews from Parallel programming

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
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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.