Opiniones y comentarios de aprendices correspondientes a Divide and Conquer, Sorting and Searching, and Randomized Algorithms por parte de Universidad de Stanford
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Principales reseñas
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.
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
876 - 887 de 887 revisiones para Divide and Conquer, Sorting and Searching, and Randomized Algorithms
por Yash R
•The course goes too fast and it skips the basics.
por Nishtha
•i want to unenroll in this course. how to do so
por Mubin A
•concepts explanation need to improve
por XiangRui L
•The visualization was limited.
por Gangadharan V
•Good course
por Ian P
•He's a personable instructor, but I think there are too few examples, the course is too devoid of interesting history, and the language and assignments can be unnecessarily obtuse. I'll happily work through a challenging course, but it feels like a waste of time if most of your effort is spent translating.
por Ahmad K
•The content is good and the instructor is good. On the other hand the fact that you cannot submit assignments or problem sets without purchasing the course is quite annoying. On all other courses which I have done without purchasing, you were able to do the full course which includes the problem sets etc.
por Abdulmalek A
•Too theory focused. The instructor focuses too much on maths and not enough on the practicality of algorithms. Even the programming assignments are too basic and uninteresting.
Although I did learn a lot about divide and conquer algorithm analysis and randomized algorithms.
por Joseph A
•The concepts were not well explained. I had to read other materials and watch some YouTube videos to understand most of them.
por Amir A
•it can be better if the professor tried to learn more algorithm instead of focus deeply on them
por Zengjia Y
•Too theoretical, a bit too far apart from industry.
por Shivam P
•Only for geniuses
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