Good amount of resources included to help learn the topics of the course. The estimated time to complete each week is quite misleading, however, at 5-8 hours per week. I ended up needing more like 10-15 to even pass most of the assignments as they are quite difficult. It's also frustrating that they are your only grade in the course as I often felt I had a good conceptual understanding of the algorithms presented but did not know some of the underlying mathematical concepts necessary to solve a lot of the problems.

I did not know much about data structures when starting and had to figure them out by myself to complete assignments in the final two weeks of the course, which unfortunately took a very long time to figure out. It turns out that the relevant data structures (particularly tree lists/arrays) are in the next course and it would be good if I knew about this beforehand.

Otherwise, the course is very good and teaches how to think about problems to solve them and not only solve them with pre-made solutions.

Lectures and quizzes are okay, assignments are great to make you think deeper about the topics. I have to agree with a lot of the other course takers that you get very little help from the teaching staffs. However, I do feel that the discussion forums are enough to help you through all of the programming tasks.

Programming assignments aren't really friendly to Haskell's list, and vectors are not available. If you use Haskell, you'll be forced to work with arrays or sequences, which are not as nice.

This is the Dark Souls of MOOCs. Tough but rewarding when you complete it. Easily one of the most beneficial courses I've taken on Coursera. In my opinion, it's up there with Andrew Ng's Machine Learning and Deep Learning courses. No fluff here, you have to really learn the material to pass. There are some small flaws in the course, material isn't always adequately covered. So definitely use the forums and outside texts and videos. Overall though, I would definitely recommend it.

It's a great course i learnt many thing about algorithm, c++ and solving problem efficiently.

I began two week late this Course so, i decided to complete the minimum required in the homework; i thought in complete it after, in the final week, but the course finish when you get more than 60% of the course, i can't improve my califications :/. So my advise is try to finish the most quantity of the work before submit the last homework, and work hard.

The problems provided were really challenging but rewarding once understood. However, I found the instructors often hard to understand in the sense of their explanations. Rather than the use of just pseudocode, I prefer to see the use of the intuition of the pseudocode via an example. In addition, I often found the mentors and instructors to be non-responsive in the forums / discussion boards. However, this class has definitely taught me a lot.

Really challenging, starts easy but gets heavy and time consuming after 3rd week.

Be prepared to study additional material and spend some hours cracking the weekly assignments. Satisfying when you accomplish it. Maybe a good idea could be to combine algorithms and data structures and separate in 2 courses Algo & Data Structures 1, and Algo & DS 2.

I feel, a better knowledge of DS could have help me to solve the Algo assignements faster.

I liked the course - it has very good balance, with some challenging tasks, but not too hard for smart learner. Good job! Getting 100% grade was fun.

On other side minimal passing grade is a joke. You can literally get the certificate simply by implementing given pseudo-code in language of your choice. It hugely devalues the certificate, especially so without Honor track and no "with distinction" certificate offered.

Nice and tough course. Make sure to plan ahead for the homework if you expect to complete all of the assignments above and beyond what is required. After finishing the course I switched my session to the next one so that I would be able to complete all the extra assignments. It can be tough juggling this class if you work full time, and have other projects outside of work that demand your time.

Near the end it becomes a slosh to get through all the information covered in the last two weeks. It feels like you are given some hints and pointers on what to do, but for the most part, the last two weeks are being tossed in the deep end and hoping you learn how to swim.

I want to give a 3.5 but that's not allowed. With the amount of content covered this course is closer to a 4 than a 3.

Solid material. Majority of the lectures are clear and are a nice logical progression. I didn't have to resort to external materials apart from 1 problem. I love that you're required to submit code that gets compiled & tested. It's a much better learning tool than just videos + multiple choice questions. I'm looking forward to working through the other courses in this specialisation.

In total, I learned a lot in the course. The programming assignments are really hard but if you stick with it, it is very worth. One thing I didn't like that much are the explanation videos - here, the team could improve. A bit more informal "intuition" explanation would help a lot to create a better understanding of the material (e.g. like Prof. Ng in the Machine Learning course!).

Coursera is one of the biggest online MOOC providers. it offers quality courses and specializations from world topmost universities and organizations. It offers courses in most popular subjects such as engineering, humanities, mathematics, business, computer science. I personally enjoyed this course a lot and recommend this for building a good strength in algorithms.

The course has good material, but the programming assignment evaluation has some drawbacks. It returns back with error message saying 0 points as Test #34/70 failed without indicating what failed and what is the student supposed to correct. With these limited feedback it is very difficult to resolve the problem and score good on the programming assignments.

Overall I like this course. The beginning of the course was very light and easy to follow. As the concepts got more in-depth, the weeks (namely 4 and 5) felt rushed and somewhat incomplete. Regardless, having never been exposed to this type of material, and for the price, I would recommend this course to anyone looking to get their feet wet with algorithms.

It's a really good and challenging course.

High quality materials and assignments.

I would have given it 5 stars if the last week was explained a little bit better. I had a feeling they didn't put enough effort in the last week, at least not as much as in the first four.

Anyways, generally this is a really good course and I learned a lot! Recommended

The course can be a little tough if you do not have a basic idea of algorithms but if you go through the recommended readings, it is a really fun course. The quiz between videos are relevant and make you think about what you just learned. The programming assignments are not tough but will ask you to rattle your brain. All in all a great course.

Great exercises. My only complaint is the last 2 weeks, the instructors weren't visual enough. They kept using hand gestures and not enough concrete visualizations of some of the steps. There were a lot of concrete visualizations for the big ideas... but not enough for all the different material and intermediary steps they were trying to teach.

The material was very thorough and the programming exercises challenging. I liked how you could do the exercises in a choice of different programming languages - doing the exercises is necessary for really understanding the material. Some of the readings can be downloaded for free online (in earlier releases) and this is worth the trouble.

Very instructive and informative, helps resolving many doubts.

Excellent examples and programming assignments, information provided by autograder is just about right.

I feel like the programming assignment is just a tad too relaxing, for dynamic programming for example, I think we need to complete 3 out of 5 in order to pass, not just two.

Overall, a very good course. Really its truly amazing that this course is pretty much language agnostic and you can use whatever you know or feel like. Really frees you from the esoteric details, to focus on the algorithms themselves. Do wish the last chapter on dynamic programming could have been better explained or split into 2 weeks.

The course gives a good overview on the algorithms types and problems, but it's cannot be used as standalone source of algorith,s learning. You should use good textbook as well.

The programming challenges are really interesting (and challenging), sometimes it took for me a couple of evenings to complete all five week assignments.

Thanks!

I loved the difficulty of the problems throughout the course, and I was properly challenged at every step. However, I feel like the 5th and 6th week needed more thorough and clearer explanation on dynamic programming. The videos alone were not enough for me, and I had to lean on a fair number of external sources to learn the material.

Too much content I think all the type of algortihm are in one course like dynamic programming and greedy algorithm . This will take more time to complete and understanding. But still overall this course is very good . problem statement are good and forum will help in many ways. I have already completed 2-3 course offered by UCSD .

Programming Assignments are simply brilliant. However, explanations are not clear, partly due to the instructors language. Nonetheless i would recommend this course. (Note: My programming language was python. I don't know about other languages but don't take this course in C, if so you'll curse yourself for taking this course)