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学生对 普林斯顿大学 提供的 Computer Science: Algorithms, Theory, and Machines 的评价和反馈

345 个评分


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....



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.


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.


51 - Computer Science: Algorithms, Theory, and Machines 的 75 个评论(共 78 个)

创建者 Sergey M

Apr 23, 2021

Brilliant intro to computer science and fundamentals of CPU design.


Jun 5, 2020

It was a good career-building course that cover a variety of topics

创建者 Kuirong W

Aug 21, 2020

Great course with good teaching material and a wonderful professor

创建者 Albert C

Aug 7, 2020

This course taught me everything I needed to know about computers.

创建者 James D

Aug 8, 2022

​Very interestingcourse with subject matter clearly presented

创建者 Asheesh K

Jul 4, 2020

Awesome overview of the major ideas in computer science.

创建者 lukas g

Oct 21, 2020

The book was of great help. Excellent course!

创建者 Jafarbek U

Jul 23, 2021

Best Introduction to Computer Science

创建者 Francis N N

Feb 9, 2021

informative and rich in context.

创建者 Umar S

Nov 17, 2020

I Didn't get any Certificate


Jul 24, 2021

E​xcellent course material

创建者 Machiestay-Dzregah E B

Apr 14, 2021

This course is great.

创建者 Antonio R

Jun 14, 2020

Clear and powerful

创建者 Omie C

Mar 20, 2021

Great course!!!

创建者 John O

Oct 4, 2020

Great course.

创建者 Rahat S

Oct 10, 2020

Good Course

创建者 Dakshu G

Jan 31, 2022


创建者 Dr. M L

May 29, 2022

V. Good

创建者 Spencer C

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

创建者 Mattias K

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.

创建者 Kononenko A

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.

创建者 Eddy P

Feb 2, 2021

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

创建者 Napattarapon P

Sep 10, 2020

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

创建者 Mohamed H

Feb 2, 2021

It's a very good course

i recommend taking this course after knowing some java

创建者 Sale

Aug 12, 2021

very good, but to much going into digital electronics