KS
13 de sep. de 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
26 de may. de 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
por TianJie S
•12 de may. de 2019
very tough and challenging course. The professor explains very detailed mathematics analysis underlying each algorithm
por Michal F
•13 de ago. de 2018
Well-balanced course in terms of difficulty, theory level and practicality. Final exam could have been more difficult.
por Aditya R
•13 de nov. de 2022
Great course for algorithm, specially the number of questions covered throughout the course in every topic is amazing
por Jayesh B
•10 de may. de 2022
It was a good one and helped me in understanding the concept easily. Thank you Coursera for the valuable information.
por Arju A
•30 de may. de 2020
English got a bit tough for non-native speaker sometimes, but it required brainstorming and that's why a good course.
por Raghuram B
•6 de ago. de 2019
Best Course for Programmers. But this course needs some programming prerequisites to understand the concepts clearly.
por Liu X
•2 de mar. de 2018
Good course to get started with algorithms. I am already a programer, and still learn a lot from this course. Thanks!
por Rihards J
•19 de dic. de 2020
Great course for those who would like to become better developers and learn basics of data structures and algorithms
por Daniel R
•16 de ago. de 2019
Although some concepts were a bit too hard to chew, this is a great start for someone who's new to computer science.
por Pritam B
•13 de oct. de 2017
The course is really good. Helping me to grasp the basic concepts of algorithm and to refresh the algorithms skills.
por Janis S
•25 de sep. de 2020
excellent content. Learned a lot! Proofs can be a bit dull at times. But that probably simply lies in their nature.
por Aakash K
•6 de ago. de 2020
This was an amazing course and it allowed me to learn complex algorithms and introduced me to algorithmic thinking
por Alan R M
•8 de jun. de 2018
It really helped me understand the concept of algorithms. I confess that I have a new perspective of an algorithm.
por Raghusrinivasan J
•17 de feb. de 2021
Great course to learn about different algorithm design paradigms and dig into the world of randomized algorithms.
por Garret N
•14 de oct. de 2020
Very intellectually stimulating. The problems were thought-provoking and assessed understanding very effectively.
por Garrett M
•10 de may. de 2018
Great teacher. Coming from a science background myself, I like that the math is not watered down in the analysis.
por Balaji R
•22 de mar. de 2020
What an amazing and insightful course. the min algorithm totally blew my mind randomized algo are simply elegant
por Alberto C
•10 de dic. de 2017
Wonderful explanations. The companion book helps a lot to review material and have it always fresh in your mind.
por Shinjan T
•11 de sep. de 2019
Awesome course. Learnt a lot about the theory behind a randomized algorithm. Karger's min cut was a revelation.
por Shawn W M
•29 de abr. de 2019
He can tend to go off topic and waste time in an effort to be exactly exact, but other than that, great course.
por placido d b
•26 de feb. de 2022
Great, this course is not simply a course on how algorithms are made but the essence of each one is explained.
por L H
•17 de feb. de 2021
Fascinating course! This may be an unpopular opinion, but I loved the mathematical analysis of the algorithms.
por Keerthana S
•22 de jun. de 2018
The material is explained really well and the programming assignments are challenging but ultimately solvable.
por Влад А
•12 de oct. de 2021
Универской математики хватает для понимания (Матанализ незамысловатый + теорвер базовый). Мне понравился курс
por Jorge B
•14 de oct. de 2017
Excellent, great explanations and good pace. Exercises quite challenging for a newbie but you'll learn a ton.