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Back to Algorithmic Thinking (Part 2)

Algorithmic Thinking (Part 2), Rice University

4.8
153 ratings
27 reviews

About this 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 class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems. In part 2 of this course, we will study advanced algorithmic techniques such as divide-and-conquer and dynamic programming. As the central part of the course, students will implement several algorithms in Python that incorporate these techniques 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. Once students have completed this class, they will have both the mathematical and programming skills to analyze, design, and program solutions to a wide range of computational problems. While this class will use Python as its vehicle of choice to practice Algorithmic Thinking, the concepts that you will learn in this class transcend any particular programming language....

Top reviews

By RL

Mar 25, 2018

Great class...Luay's lectures and problem sets were a great continuation to what Joe and Scott started. I suppose I will get started on Course 7 shortly.

By JO

Apr 29, 2018

Excellent class in the series. Even if computational biology is not your thing, the assignments are really interesting, fun and informative.

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27 Reviews

By Max Bredford

Mar 21, 2019

Oh man, I hade so much fun in this course! The lectures and material are very good, and everything is wrapped up in much fun projects and applications where you will learn a lot. I especially enjoyed the more mathematical approach in AT compared to PoC and IIPP, and also the general class structure! Highly recommended!

By Rudy Halim

Mar 15, 2019

Great course, needs a lot more computational brain power than any of the courses in the specialization. Very little to no spoon feeding, but the forum and class notes have adequate info. It is very beneficial to have this kind of experience of a close to a real life situation in a course. No company as i know will pay anyone to be spoon fed. Thank you very much to Prof. Luay and all others that are involved.

By Vern Kerchberger

Jul 26, 2018

Course and assignments were very well thought out and informative.

By Andrew Foord

May 28, 2018

Another fantastic course from the team at Rice - thanks guys!

By Tairan Yang

May 13, 2018

Great course!

Definitely learned a lot from the process of doing projects

By Julian Ong

Apr 29, 2018

Excellent class in the series. Even if computational biology is not your thing, the assignments are really interesting, fun and informative.

By Rohan George Lewis

Mar 25, 2018

Great class...Luay's lectures and problem sets were a great continuation to what Joe and Scott started. I suppose I will get started on Course 7 shortly.

By Jaehwi Cho

Jan 11, 2018

Great course to learning computer science!

By Siwei Liu

Dec 25, 2017

Great course!!!

By Michael B R

Dec 16, 2017

Yet another great course in this specialization