Sep 14, 2018
Well researched. Topics covered well, with walkthrough for exam.le cases for each new introduced algorithm. Great experience, learned a lot of important algorithms and algorithmic thinking practices.
May 27, 2020
Thank you for teaching me this course. I learned a lot of new things, including Divide-and-Conquer, MergeSort, QuickSort, and Randomization Algorithms, along with proof for their asymptotic runtime
교육 기관: Beau D•
Nov 17, 2016
The math in this course is quite difficult, but the professor does a great job of explaining it in a very easily understood way.
교육 기관: Luiz C•
Feb 24, 2018
Great course, very well explained, great material and great exercises, with an engaging teacher: cant be much better than that
교육 기관: Ali S•
Oct 31, 2017
The course is not as not programming oriented as the Princeton one, but it is a better course in terms of theory and analysis.
교육 기관: Amarth C•
Aug 24, 2017
Professor's awesome, but some part he speaks a little bit fast, for non-native speaker it asks extra work to fully understand.
교육 기관: Solomon B•
Mar 11, 2017
Excellent course. The statistical analysis was a little too fast and overwhelming towards the end but overall I learned a lot.
교육 기관: Ehsan F•
Dec 04, 2018
This course was a real one. The only feeling I had afterwards was that I wish I could meet him in person. He is just awesome.
교육 기관: Venu V•
Jan 18, 2017
It's an amazing introduction to algorithms. I enjoyed listening to the lectures. All the algorithms were explained in detail.
교육 기관: Jay•
Mar 19, 2020
Very Nice course for a newbie like me to mastering algorithms. I want to thank you institute for making this course for us.
교육 기관: Aishwarya R•
Jun 21, 2019
Learnt about Merge Sort, Quick Sort, Randomization Algorithms, Selection, Graphs, Min-cut. Thank you Prof. Roughgarden :)
교육 기관: Rahul K•
Feb 07, 2020
This course really give the idea how to approach the problem and analyse it and find the most efficient way to solve it.
교육 기관: Aksheshkumar A S•
May 26, 2020
really an amazing course and have covered the content very nicely and the programming assignments are also very helpful
교육 기관: GAURAV R•
Nov 13, 2019
The course is not an easy one but if done earnestly will help the learner a lot in developing a mindset for algorithms.
교육 기관: TianJie S•
May 12, 2019
very tough and challenging course. The professor explains very detailed mathematics analysis underlying each algorithm
교육 기관: Michal F•
Aug 13, 2018
Well-balanced course in terms of difficulty, theory level and practicality. Final exam could have been more difficult.
교육 기관: Arju A•
May 30, 2020
English got a bit tough for non-native speaker sometimes, but it required brainstorming and that's why a good course.
교육 기관: BHOGIREDDY R•
Aug 06, 2019
Best Course for Programmers. But this course needs some programming prerequisites to understand the concepts clearly.
교육 기관: Liu X•
Mar 02, 2018
Good course to get started with algorithms. I am already a programer, and still learn a lot from this course. Thanks!
교육 기관: Daniel R•
Aug 16, 2019
Although some concepts were a bit too hard to chew, this is a great start for someone who's new to computer science.
교육 기관: Pritam B•
Oct 13, 2017
The course is really good. Helping me to grasp the basic concepts of algorithm and to refresh the algorithms skills.
교육 기관: Alan R M•
Jun 08, 2018
It really helped me understand the concept of algorithms. I confess that I have a new perspective of an algorithm.
교육 기관: Garrett M•
May 10, 2018
Great teacher. Coming from a science background myself, I like that the math is not watered down in the analysis.
교육 기관: Balaji R•
Mar 22, 2020
What an amazing and insightful course. the min algorithm totally blew my mind randomized algo are simply elegant
교육 기관: Alberto C•
Dec 10, 2017
Wonderful explanations. The companion book helps a lot to review material and have it always fresh in your mind.
교육 기관: Shinjan T•
Sep 11, 2019
Awesome course. Learnt a lot about the theory behind a randomized algorithm. Karger's min cut was a revelation.
교육 기관: Shawn W M•
Apr 30, 2019
He can tend to go off topic and waste time in an effort to be exactly exact, but other than that, great course.