Back to Algorithmic Thinking (Part 1)
Learner Reviews & Feedback for Algorithmic Thinking (Part 1) by Rice University
376 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 algo...
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 algo...
Top reviews
OT
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.
MR
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.
Filter by: