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Learner Reviews & Feedback for Computer Science: Algorithms, Theory, and Machines by Princeton University

4.7
stars
730 ratings

About the Course

This course introduces the broader discipline of computer science to people having basic familiarity with Java programming. It covers the second half of our book Computer Science: An Interdisciplinary Approach (the first half is covered in our Coursera course Computer Science: Programming with a Purpose, to be released in the fall of 2018). Our intent is to demystify computation and to build awareness about the substantial intellectual underpinnings and rich history of the field of computer science. First, we introduce classic algorithms along with scientific techniques for evaluating performance, in the context of modern applications. Next, we introduce classic theoretical models that allow us to address fundamental questions about computation, such as computability, universality, and intractability. We conclude with machine architecture (including machine-language programming and its relationship to coding in Java) and logic design (including a full CPU design built from the ground up). The course emphasizes the relationships between applications programming, the theory of computation, real computers, and the field's history and evolution, including the nature of the contributions of Boole, Shannon, Turing, von Neumann, and others. All the features of this course are available for free. People who are interested in digging deeper into the content may wish to obtain the textbook Computer Science: An Interdisciplinary Approach (upon which the course is based) or to visit the website introcs.cs.princeton.edu for a wealth of additional material. This course does not offer a certificate upon completion....

Top reviews

FZ

Aug 26, 2020

The professor is the best I have ever had! The way he presented the materials was precise and concise. I also loved the historical contexts he often provided.

AC

Jan 19, 2022

Great course that has taught me a lot in the field of computer science. Cheers to Coursera and Princeton for such great knowledge.

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101 - 125 of 157 Reviews for Computer Science: Algorithms, Theory, and Machines

By Sri V V

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Aug 25, 2024

good course

By Rahat S

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Oct 10, 2020

Good Course

By Shashwat T

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Sep 23, 2024

great !!!

By Victor R

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Jan 25, 2025

Thank you

By Ye N W

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Jan 2, 2025

Excellent

By Enkala v s

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Oct 6, 2024

excellent

By Mrs. D S

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Dec 26, 2023

excellent

By Dakshu G

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Jan 31, 2022

Excellent

By Sourav D

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Oct 8, 2025

khub vlo

By Tran V K

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Jun 13, 2025

Greate!

By ANSHU G

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Jan 13, 2025

Awesome

By Aradhya g

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Oct 30, 2024

awesome

By Dr. M L

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May 29, 2022

V. Good

By Thanh T Q

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Dec 28, 2024

Nice

By Saad k

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Nov 19, 2024

BEST

By Deepak K

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Oct 20, 2024

good

By Tej

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Oct 13, 2024

good

By Romal S

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Oct 9, 2024

good

By Aryan S

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Sep 19, 2024

Good

By Namra R

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Dec 15, 2023

Good

By K T S

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Jul 28, 2023

good

By YASHASVI P

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May 6, 2023

kmkl

By Satwik R S

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Feb 20, 2023

good

By Polireddi I

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Nov 10, 2022

nice

By K V U G

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Jan 20, 2025

fig