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Algorithmic Thinking (Part 1) に戻る

ライス大学(Rice University) による Algorithmic Thinking (Part 1) の受講者のレビューおよびフィードバック

4.7
321件の評価
65件のレビュー

コースについて

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"....

人気のレビュー

OT
2018年9月28日

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.

MR
2019年9月16日

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.

フィルター:

Algorithmic Thinking (Part 1): 51 - 64 / 64 レビュー

by Ganapathi N K

2017年11月11日

Superb

by DHARANIKOTA J B

2020年5月7日

gud

by Eul S S

2019年8月23日

E

by Cameron B

2016年5月2日

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.

by Karun

2016年9月23日

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.

by Alonso F B R

2020年6月15日

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.

by 이선재

2020年12月11日

So difficult to beginner.... It requires some knowledge of python(dictionary, list, and some grammer..)

by Garlic J

2016年5月13日

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

by Arnob B

2017年9月21日

Last assignment was a bit weird but great course otherwise!

by Deepak V

2019年6月19日

It was a good learning experience

by Wenxuan L

2020年1月26日

同学互评环节有时候会人不够啊

by Marcello F

2017年9月10日

Great course !

by Wynand

2018年1月10日

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

by Qi D

2017年2月18日

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