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

4.7
stars
512 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. No certificate will be offered upon completion....

Top reviews

DC

Jun 10, 2020

I feel the course does a great job in laying out an introduction to "Computer Science", familiarising and motivating the topics, to be covered deeply in the sophomore-junior year.

MA

Nov 8, 2019

I loved this course. If you want to know in depth how your computer works and what you can compute in general, this course is for you. Thank you very much for this amazing course.

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76 - 100 of 108 Reviews for Computer Science: Algorithms, Theory, and Machines

By Antonio R

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Jun 14, 2020

Clear and powerful

By Kunal S

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Apr 1, 2023

great exprience.

By Nallavadla S N R

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Nov 4, 2022

Excellent course

By Omie C

•

Mar 20, 2021

Great course!!!

By Richard

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Jul 29, 2023

Great course!

By John O

•

Oct 4, 2020

Great course.

By Rahat S

•

Oct 10, 2020

Good Course

By Mrs. D S

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Dec 26, 2023

excellent

By Dakshu G

•

Jan 31, 2022

Excellent

By Dr. M L

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May 29, 2022

V. Good

By Namra R

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Dec 15, 2023

Good

By K T S

•

Jul 28, 2023

good

By YASHASVI P

•

May 6, 2023

kmkl

By Satwik R S

•

Feb 20, 2023

good

By Polireddi I

•

Nov 10, 2022

nice

By Spencer C

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Mar 23, 2021

I really enjoyed this class - I wish it had weekly assignments like Programming with a Purpose and the Algorithms courses do. I think the Princeton CS courses are the best ones on Coursera

By Mattias K

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Sep 24, 2020

Good introduction, sometimes it's a bit frustrating to have to memorize the op- codes for the quizzes if you don't have the book though. Otherwise very instructional.

By Akshay G

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Sep 10, 2022

The material for the course was very well laid out. Both computational theory and computer architecture are introduced in a clear manner from first principles.

By Alexey K (

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Oct 9, 2021

Questions for tests were a bit weird and sometimes unrelated to the lectures. I would prefer programming assignments. The lectures are great.

By Eddy P

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Feb 2, 2021

compared to the first course, this course still explains each concept clearly but lack of in-depth programming exercises

By Napattarapon P

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Sep 10, 2020

Good concept of understanding how computer works. But ,In my opinion, quite hard to follow for the beginner

By Mohamed H

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Feb 2, 2021

It's a very good course

i recommend taking this course after knowing some java

By Sale

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Aug 12, 2021

very good, but to much going into digital electronics

By Felix K

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Sep 16, 2020

great lectures - would be great with exercises

By dr.phyothuzar t

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Jun 1, 2023

Computer Programming, Computational Logic