nice

Nice

GOOD

good

Best

喵儿额

WOW

好

I'll give this course four stars.

I think if you want to know about how good this course is, you can check the other reviews. I'm not trying to be picky, just want to brief out that there is something needs to be improved.

This course has been launched for a while, it'll be great if we can improve it, and I sincerely believe this kind of knowledge should be shared with more people who interested in computer science.

To be honest, maybe it's because of my first language is not English, I felt frustrated from time to time. That doesn't mean the material wasn't good, what I learned from this course is quite amazing, the explanation sometimes is just obscured. I knew even the idea behind the algorithm or analysis aren't easy to understand, but what I feel is the professor assume you know everything he's talking about, and the whole sentence become very long.. long enough to let student cannot focus on the idea itself.

If professor can try to explain idea in more plain and easy to understand words, this will be 5 stars recommendation. Content is great, quiz and assignment is challenging enough to bring you lots of fun. If professor can improve that small pieces I mentioned, it'll enhance the overall efficiency of learning.

Anyway, thank you for providing us a such good course.

I think the course is nice, I have finally understood what the divide and conquer algos are. I like the algo's non-mathematical analysis.

However, I think that the course was overfilled with the complex math which explained significantly worse than actual algos. I like math a lot (my favourite subject), but then the course description should tell about that course contains advanced math, because it is not suitable for everyone.

I also think that a technical task on a quick sort was confusing, it was very difficult to provide a correct answer though the task was simple. I did not like the technical task for the min cut problem. This algorithm available everywhere online, and you must use the pseudo code to implement it (I have not learnt much).

I would recommend this course to anyone who has some experience with coding, but has not taken an algorithm course. I particularly like this course because it is more "math-heavy" than some of the other courses. After taking this course, you might not be able to solve all Leetcode problems (so probably will not help with your interviews directly), but from an intellectual point of view, I think the instructor does a good job explaining why people care about algorithms and how to analyze a class of algorithms rigorously.

The unique value of taking the course: read and think through the material with guidance and completing its assignments is the efficiency by saving all the search cost would I collect on my own the good and succinct presentation of the knowledge and exercises with solutions (at least correctness checks.) The entire detail of an algorithm is hard to keep afresh in memory and one needs to refresh it from time to time. It is very cost-effective to take a course like this to accelerate the refresh.

Thanks a lot sir ! Learnt a lot of new things in this course. Although, I was a little familiar with the course materials beforehand, there were some mathematical nuances that I was unaware of and now I am ! Your way of explaining things, I guess, is what keeps people glued to the course. Also, the assignments are pretty good. However, I do wish the Final Exam to be a little more difficult. Currently as it is, most of it is merely a revision of past assignments. Thanks !

I think the videos and teaching are great. However, this class is somewhat hard with the math and one can easily get stuck with some of the algorithm problems. This class really needs an ongoing monitor/mentor in the forums to help guide you through the class. Also, sometimes, even when you get the right answer for the quiz, it can be difficult to ascertain whether you actually understand the concept. I docked one star for the lack of ability to get help.

Generally, this course is great, and it focuses on some core theories of algorithms in Computer Science.

Personally, I think the tricky part is the analysis of the algorithms which requires some advanced math knowledge and a lot of patience.

To be honest, though I have finished this course, there's still a must for me to review the whole course later. Also, I need to implement all the algorithms again in both java and python I guess :)

Good subject to take, however, the rhythm in my opinion is quite fast, and less practical example was given to connect with our real life, the teacher is nice, except for too fluently speaking LOL, I am not a native English speaker, thus I have to reduce the speed of the video, but then, I stepped into sleepy soon, even X 0.75 speed is crazy hypnosis technique. LOL, anyway, those just my own thinking and thanks to the teacher.

This course is very good! Every week your are given a programming assignment in wich you have to code some classical algorithms in the language of your preference. Some exercises are difficult to do, but search for help on the forum. The only bad point is that the teacher talks too fast,a lot of time I had too look for better explanations. It's difficul to follow Tim's rithm.

The discussion forum is basically dead.If you ask a question, you will probably get an answer in two months.The programming assignment is not as well-designed and challenging as the Rice and Princeton algorithm specialization. There is no autograder. You just need to enter the output of the programming assignment. Nevertheless, it takes a thorough and rigorous approach.

The instructor offers me a very clear explanation on different algorithm designs. The assignments are also thought-provoking and is able to stimulate your brain.

One thing for improvement is the sufficiency of algorithm exercise. It seems the algorithm exercise the course offers is not enough for those who would like to pursue higher challenge in algorithm puzzles.

Good introductory course: allows to relatively quickly go through the topic without getting stuck in too much detail; hands on assignments are nice and useful. The slides I feel could be further improved to (i) aid rapid understanding, (ii) be more helpful in problem solving and (iii) have a few more maps back to the bigger picture.

This was a good course, but it is not for people who want to get work done using algorithms. It is pretty math heavy and requires ample amount of dedication and understanding. Some high standard videos like the ones on Graph Theory was not very well explained, I had to see some youtube videos to get a nice understanding about them.

I thought the course was well instructed, Tim is a good professor and doesn't give up too many of the answers. I found the probability section needing more review as I didn't come into the course with a statistics background, and I felt that hurt my full comprehension of the material. Other than that, awesome course.

I really like this course and think that the course is very helpful for me as a non-cs major student to learn more about algorithms.

However, I found it hard to find answers to the quiz and the questions. I tried in the forum but in vain. Might be an improvement of the Coursera system and organization?

Excellent course for students to study why and how the popular algorithms work. The course was very much focused on the math behind the algorithms and I felt it could have been better if the course focussed more on real time applications using the algorithms and their implementations with pseudocode.

Perfect start for a NOOB, all algorithms are explained in a detailed way. Only draw back i felt which can be addressed in further version is to include few programmatic assignments, so that developers can relate how the algorithm is translated from mathematical equation to running code.