Sep 29, 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 17, 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.
por Garlic J•
May 14, 2016
Project is interesting, bu the video lecture is kind of repetitive and does not cover much
por Arnob B•
Sep 21, 2017
Last assignment was a bit weird but great course otherwise!
por Deepak V•
Jun 19, 2019
It was a good learning experience
por Wenxuan L•
Jan 26, 2020
por Marcello F•
Sep 10, 2017
Great course !
por Daniel W•
Jan 08, 2020
Lots of good material to learn. Challenging. Lectures are easy to understand.
More dense, textbook-jargon "CS major" feel to this class than the others. Expect to spend more hours and have less fun vs. parts 1-4. Much easier to get discouraged. Major problems waiting for assignments to go through peer grading process, sometimes taking *weeks*.
More basic handouts such as: 1) Set notation cheat sheet. 2) Pseudocode examples fully decoded into simple language. Also, watching a visualization of the base-pairing algorithm (Needleman-Wunsch) is highly recommended for understanding what you're trying to do. You can google it, but it would be nice if they added it to the course. Also, more smiling.
In summary, it's a challenging course and I'm a better programmer for having finished it. However, it's more daunting, took me longer, and lacks the easy going/encouraging/illustrative style of the earlier courses. Peer grading takes way too long, especially if you're paying for a subscription.
(My review applies to both Algorithmic Thinking Parts 1 and 2)
Jan 11, 2018
Not quite the same level of energy presents in IIPP and Computing Principles. Also did not like the peer review projects, too messy.
por 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.