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学生对 Princeton University 提供的 Computer Science: Algorithms, Theory, and Machines 的评价和反馈

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课程概述

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....

热门审阅

AA

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.

筛选依据：

101 - Computer Science: Algorithms, Theory, and Machines 的 125 个评论（共 165 个）

创建者 Christopher S

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Jun 18, 2025

Good course

创建者 Dhruv K

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Nov 8, 2024

good course

创建者 Sri V V

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Aug 25, 2024

good course

创建者 Rahat S

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Oct 10, 2020

Good Course

创建者 Shashwat T

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Sep 23, 2024

great !!!

创建者 Somasundaram A

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Oct 25, 2025

Excellent

创建者 Victor R

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Jan 24, 2025

Thank you

创建者 Ye N W

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Jan 1, 2025

Excellent

创建者 Enkala v s

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Oct 6, 2024

excellent

创建者 Mrs. D S

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Dec 25, 2023

excellent

创建者 Dakshu G

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Jan 31, 2022

Excellent

创建者 Sourav D

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Oct 8, 2025

khub vlo

创建者 Tran V K

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Jun 13, 2025

Greate!

创建者 ANSHU G

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Jan 13, 2025

Awesome

创建者 Aradhya g

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Oct 30, 2024

awesome

创建者 Dr. M L

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May 29, 2022

V. Good

创建者 Umidjon U

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Apr 22, 2026

luck

创建者 Hemraj V

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Nov 7, 2025

good

创建者 Thanh T Q

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Dec 28, 2024

Nice

创建者 Saad k

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Nov 19, 2024

BEST

创建者 Deepak K

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Oct 19, 2024

good

创建者 Tej

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Oct 13, 2024

good

创建者 Romal S

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Oct 9, 2024

good

创建者 Aryan S

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Sep 19, 2024

Good

创建者 Namra R

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Dec 15, 2023

Good