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Three Coursera MOOCs I particularly enjoyed:

* Discrete Optimization: almost entirely problem-driven, very challenging and entertaining prof; https://www.coursera.org/learn/discrete-optimization

* Crypto I: very deep, thorough and crystal clear explanations; https://www.coursera.org/learn/crypto

* Computer Networks: excellent overall course covering a wide variety of topics; https://www.coursera.org/instructor/~517478, https://www.youtube.com/playlist?list=PLfgkuLYEOvGMWvHRgFAcj...



Prof. Dan Boneh's Cryptography I is really good.

Compared to many other MOOCs, it provides solid foundations while being easy to follow.

https://www.coursera.org/learn/crypto


Computer Networks is definitely the best MOOC I ever took. I hope they bring it back.


Computer Networks looks great it's a shame they pulled it down.


Take a look at https://lagunita.stanford.edu/courses/Engineering/Networking.... Haven't taken either, but Stanford typically puts out pretty good MOOCs.


Lectures are great. Material is at a solid undergrad level (should be suitable for someone with 1-2yrs of CS background). No programming assignments, so I would go look at Phil Levis's website to find the "regular" course website and do the programming assignments from there.


I LOVED discrete optimisation




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