KS
Sep 13, 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.
DT
May 26, 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
By 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.
By 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.
By Arjun B
•Jul 25, 2020
Despite of being an online course i learnt more than i ever could from my current college curriculum. Cheers to the concepts!
By Ehsan F
•Dec 4, 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.
By Venu R
•Jan 18, 2017
It's an amazing introduction to algorithms. I enjoyed listening to the lectures. All the algorithms were explained in detail.
By Oliver K
•Aug 8, 2024
Great introduction into algorithms, excellent choice of examples and good explanation of the correctness and runtime proofs.
By Antonio C C
•Aug 6, 2023
Great introduction to algorithms. Very clear lectures. The programming exercises are very useful to sediment the knowledge.
By Abdulkareem O
•Jan 3, 2021
This course is so amazing. Even though I am a beginner but I could understand it and everything went as good as I expected.
By alberto m
•Dec 27, 2020
tim roughgarden was amazing. he is so enthusiast and transmit that to people. great I will delve deeper into this for sure.
By PATEL J Y
•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.
By Aishwarya R
•Jun 20, 2019
Learnt about Merge Sort, Quick Sort, Randomization Algorithms, Selection, Graphs, Min-cut. Thank you Prof. Roughgarden :)
By Rahul K
•Feb 7, 2020
This course really give the idea how to approach the problem and analyse it and find the most efficient way to solve it.
By Aksheshkumar S
•May 26, 2020
really an amazing course and have covered the content very nicely and the programming assignments are also very helpful
By 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.
By TianJie S
•May 12, 2019
very tough and challenging course. The professor explains very detailed mathematics analysis underlying each algorithm
By Michal F
•Aug 13, 2018
Well-balanced course in terms of difficulty, theory level and practicality. Final exam could have been more difficult.
By ADITYA R
•Nov 13, 2022
Great course for algorithm, specially the number of questions covered throughout the course in every topic is amazing
By Jayesh B
•May 10, 2022
It was a good one and helped me in understanding the concept easily. Thank you Coursera for the valuable information.
By 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.
By Raghuram B
•Aug 6, 2019
Best Course for Programmers. But this course needs some programming prerequisites to understand the concepts clearly.
By Liu X
•Mar 2, 2018
Good course to get started with algorithms. I am already a programer, and still learn a lot from this course. Thanks!
By Rihards J
•Dec 19, 2020
Great course for those who would like to become better developers and learn basics of data structures and algorithms
By 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.
By 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.
By Janis S
•Sep 25, 2020
excellent content. Learned a lot! Proofs can be a bit dull at times. But that probably simply lies in their nature.