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Back to Algorithmic Thinking (Part 1)

Learner Reviews & Feedback for Algorithmic Thinking (Part 1) by Rice University

356 ratings

About the Course

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"....

Top reviews


Sep 28, 2018

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.


Sep 16, 2019

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.

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51 - 70 of 70 Reviews for Algorithmic Thinking (Part 1)

By Arthur-Lance

Aug 15, 2017

thanks a lot

By Martin W

Feb 19, 2017

great course

By Deepthi V

Oct 6, 2019

good one

By Dmitrii A

Jul 24, 2017

Thanks )

By Ganapathi N K

Nov 11, 2017


By Lakshitha C S

Jul 24, 2021



May 7, 2020


By Eul S S

Aug 23, 2019


By Cameron B

May 2, 2016

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

Sep 23, 2016

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

Jun 15, 2020

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 Garlic J

May 13, 2016

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

By Arnob B

Sep 21, 2017

Last assignment was a bit weird but great course otherwise!

By Deepak V

Jun 19, 2019

It was a good learning experience

By Murali K S

Aug 10, 2021

Good for beginners

By Wenxuan L

Jan 26, 2020


By Marcello F

Sep 10, 2017

Great course !

By Wynand

Jan 10, 2018

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

By Na Z

Sep 23, 2022

The worst course I've ever taken!!!!! Don't wast your time unless you are very rich and have nothing to do. They asked 5 peer revview to pass the course for each project, and they force you to read the optional material otherwise you can't pass the quiz. They only test the hardest part in the quiz to keep you as long as you can in each course so that they can earn money. Anyone see this PLEASE RUN AWAY FROM THIS WORST COURSE!!!!

By Qi D

Feb 18, 2017

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