Algorithmic Thinking (Part 2)
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Rating | 4.5★ based on 38 ratings |
---|---|
Length | 5 weeks |
Effort | 4 weeks of study, 7-10 hours/week |
Starts | Jul 17 (37 weeks ago) |
Cost | $79 |
From | Rice University via Coursera |
Instructors | Luay Nakhleh, Scott Rixner, Joe Warren |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming |
Tags | Computer Science Algorithms Software Development |
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What people are saying
pseudocode examples fully decoded
2) Pseudocode examples fully decoded into simple language.
rice - thanks guys
Another fantastic course from the team at Rice - thanks guys!
set notation cheat sheet
Major problems waiting for assignments to go through peer grading process, sometimes taking *weeks*.Suggestions:More basic handouts such as: 1) Set notation cheat sheet.
both algorithmic thinking parts
(My review applies to both Algorithmic Thinking Parts 1 and 2)
decoded into simple language
gain knowledge without chasing
If you just want to learn and gain knowledge without chasing the certificate, than the course is useless, because you can't receive feedback for your work.
suddenly coursera has changed
I took all 5 previous courses in this series and they were all great.But suddenly Coursera has changed its policy, and one can not take courses for free anymore.
takes way too long
Peer grading takes way too long, especially if you're paying for a subscription.
my review applies
algorithms/programming approaches presented
Thanks ) Really like the mix of theory and practical application This class gets very math and theory heavy, so I would not recommend it for those looking for programming practice with the algorithms/programming approaches presented in this class.
basic handouts such
changed its policy
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Rating | 4.5★ based on 38 ratings |
---|---|
Length | 5 weeks |
Effort | 4 weeks of study, 7-10 hours/week |
Starts | Jul 17 (37 weeks ago) |
Cost | $79 |
From | Rice University via Coursera |
Instructors | Luay Nakhleh, Scott Rixner, Joe Warren |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming |
Tags | Computer Science Algorithms Software Development |
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