Concurrency in Go

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Concurrency in Go

This course is part of Programming with Google Go Specialization

Instructor: Ian Harris

28,655 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

800 reviews

Intermediate level

Some related experience required

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

87%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

800 reviews

Intermediate level

Some related experience required

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

87%

Most learners liked this course

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments¹

AI Graded see disclaimer

Taught in English

91%

of learners achieved a positive career outcome

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This course is part of the Programming with Google Go Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 4 modules in this course

Learn how to implement concurrent programming in Go. Explore the roles of channels and goroutines in implementing concurrency. Topics include writing goroutines and implementing channels for communications between goroutines. Course activities will allow you to exercise Go’s capabilities for concurrent programming by developing several example programs.

This course introduces the concept of concurrency in Go. The first module sets the stage by reviewing the physical factors that can restrict microprocessor performance increases in the future.

What's included

2 videos5 readings1 assignment1 peer review

2 videosTotal 40 minutes

M1.1.1-3v326 minutes
M1.2.1-1v315 minutes

5 readingsTotal 10 minutes

M1.1.1 - Parallel Execution2 minutes
M1.1.2 - Von Neumann Bottleneck2 minutes
M1.1.3 - Power Wall2 minutes
M1.2.1 - Concurrent vs Parallel2 minutes
M1.2.2 - Hiding Latency2 minutes

1 assignmentTotal 14 minutes

Module 1 Quiz14 minutes

1 peer reviewTotal 120 minutes

Module 1 Activity120 minutes

This module looks at basic concurrency concepts and race conditions in preparation for a discussion of threads coming up in the next module.

What's included

2 videos5 readings1 assignment1 peer review

In this module, you’ll work with threaded goroutines and explore the benefits of synchronization. The week’s assignment has you using a threaded approach to create a program that sorts integers via four separate sub-arrays, then merging the arrays into a single array.

What's included

3 videos7 readings1 assignment1 peer review

3 videosTotal 53 minutes

M3.1.1-2v312 minutes
M3.2.1-2v317 minutes
M3.3.1-3v324 minutes

7 readingsTotal 14 minutes

M3.1.1 - Goroutines2 minutes
M3.1.2 - Exiting Goroutines2 minutes
M3.2.1 - Basic Synchronization2 minutes
M3.2.2 - Wait Groups2 minutes
M3.3.1 - Communication2 minutes
M3.3.2 - Blocking on Channels2 minutes
M3.3.3 - Buffered Channels2 minutes

1 assignmentTotal 14 minutes

Module 3 Quiz14 minutes

1 peer reviewTotal 120 minutes

Module 3 Activity120 minutes

This last module ties together the various features – including threads, concurrency, and synchronization – covered in this course. The week’s programming assignment requires you to use concurrent algorithms in the implementation of the “dining philosopher’s problem and then address the ensuing synchronization issues.

What's included

3 videos8 readings1 assignment1 peer review

3 videosTotal 55 minutes

M4.1.1-2v312 minutes
M4.2.1-3v318 minutes
M4.3.1-3v325 minutes

8 readingsTotal 16 minutes

M4.1.1 - Blocking on Channels2 minutes
M4.1.2 - Select2 minutes
M4.2.1 - Mutual Exclusion2 minutes
M4.2.2 - Mutex2 minutes
M4.2.3 - Mutex Methods2 minutes
M4.3.1 - Once Synchronization2 minutes
M4.3.2 - Deadlock2 minutes
M4.3.3 - Dining Philosophers2 minutes

1 assignmentTotal 14 minutes

Module 4 Quiz14 minutes

1 peer reviewTotal 120 minutes

Module 4 Activity120 minutes

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Instructor

Instructor ratings

(154 ratings)

Ian Harris

University of California, Irvine

9 Courses652,162 learners

Offered by

University of California, Irvine

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Reviewed on Oct 11, 2018

This professor is incredible. Always bringing up some examples that might make us scratch our heads and making everything much clear.

Reviewed on Jan 1, 2021

A great starting point to learn concurrency not only in go, but also in any programming language.

Reviewed on Mar 30, 2020

A very good detailed explanation about concurrency in general and how Go handles it and how to build concurrent applications.

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Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.