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Algorithmic Thinking (Part 1)(으)로 돌아가기

라이스 대학교의 Algorithmic Thinking (Part 1) 학습자 리뷰 및 피드백

346개의 평가

강좌 소개

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to real-world computational problems. In part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory. As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms. Recommended Background - Students should be comfortable writing intermediate size (300+ line) programs in Python and have a basic understanding of searching, sorting, and recursion. Students should also have a solid math background that includes algebra, pre-calculus and a familiarity with the math concepts covered in "Principles of Computing"....

최상위 리뷰


2018년 9월 28일

very educational. I've learnt not only about graph theory but also how to use matplotlib and timeit libraries. The assignments were quite challengeable but rewarding.


2019년 9월 16일

The class is very useful, I already see the improvement in the codes that I write. And the assignments are very well-designed and truly helpful.

필터링 기준:

Algorithmic Thinking (Part 1)의 68개 리뷰 중 51~68

교육 기관: Martin W

2017년 2월 19일

great course

교육 기관: Deepthi V

2019년 10월 6일

good one

교육 기관: Alexandrov D

2017년 7월 24일

Thanks )

교육 기관: Ganapathi N K

2017년 11월 11일


교육 기관: Lakshitha C S

2021년 7월 24일



2020년 5월 7일


교육 기관: Eul S S

2019년 8월 23일


교육 기관: Cameron B

2016년 5월 2일

I found the material of this course to be very enlightening, it's not too difficult if you have the appropriate background. However, it will take a decent amount of time to fully complete. As part of the specialization, all of the skills I've learned were consolidated and put to an interesting use with this class.

교육 기관: Karun

2016년 9월 23일

The applications were too time consuming. Please consider adding a tool that makes graphing easier. The course itself was very good and engaging and without us knowing it, would teach core fundamentals of computing through the coding exercises.

교육 기관: Alonso F B R

2020년 6월 15일

This course is very good, it teaches you to think and analyze problems, problems and programs are difficult to solve, much prior knowledge is required.

교육 기관: Garlic J

2016년 5월 13일

Project is interesting, bu the video lecture is kind of repetitive and does not cover much

교육 기관: Arnob B

2017년 9월 21일

Last assignment was a bit weird but great course otherwise!

교육 기관: Deepak V

2019년 6월 19일

It was a good learning experience

교육 기관: Murali K S

2021년 8월 10일

Good for beginners

교육 기관: Wenxuan L

2020년 1월 26일


교육 기관: Marcello F

2017년 9월 10일

Great course !

교육 기관: Wynand

2018년 1월 10일

Not quite the same level of energy presents in IIPP and Computing Principles. Also did not like the peer review projects, too messy.

교육 기관: Qi D

2017년 2월 18일

coursea does not allow me to quit the class. Also, I cannot do the homework or watch video at my own pace.