Felt a little bit adrift from the general flow of topics in the other courses. Of course this called a challenge for a reason, but it's funny that you can pass this course doing barely anything actually related to genome assembly as there are other problems for each week as well.

A little bit difficult

相比较课程讲诉的部分，感觉课程作业很复杂

This course takes considerably more time than the previous ones per week. There isn't a lot of teaching content because it's supposed to be simulating a real-life project. I personally am not interested in bioinfometrics and string assembly, so I don't feel very motivated.

I am happy that I have finished this course and I have learned a lot. I also honed my C++ skills through the many programming assignments; this is one of the reasons I decided to take this over other specializations.

The main reason for the 3 stars is that I could have spent the same amount time to learn more about algorithms, instead of thinking about problems I am not particularly interested. Also, there won't be help from the teachers, but the forum community is great.

Most challenging course I've taken on Coursera so far, so be prepared. However, I'm definitely a far better programmer due to it! <3 Thanks to the instructors for great material and well designed challenges.

Nice exercises were difficult and interesting. You can learn a lot of in this course not only to solve bioinformatic problems

I would like to say thank you to all who have created this course and specialization! Good material, excellent lecturers!

Not bad, but you had better attend Bioinformatics Specialization so you could understand what tutors lecture.

There were countless errors in the descriptions of the programming problems, not just "ambiguities" or "open ended problem definitions" but quantitatively incorrect specific statements (length of inputs, structure of inputs, etc). Many of these issues have been pointed out in the forums, but remain uncorrected as of June 2018.

I did not enjoy this course. I did not like the following things:1) It was advertizing a different course (Bioinformatics or something like that) too hard for my taste.2) The problem statements were often incorrect. In particular what is related to the size of inputs. I have wasted too much time because of these issues. For example, the problem statement says that there will be 400 lines of input. After wasting an hour and a half trying to find a cause of a segmentation error I am reading on the forum a message THAT IS ONE YEAR OLD saying that there are in fact 1618 lines of input.3) The final problem (genome assembler) has a very tight memory limit if you consider the size of the input. Solving it within the memory limit would require special skills that are not covered by the material in this course. Or maybe I (and other people on the forum) are just not smart enough.4) There are almost no lectures. All you have to work with seems to be a 60-page extract from a book.

Greate course

A bit too challenging. A this point after 5 courses you just want to have a cool capstone and receive your certificate.

Very good collection of problems for a finale.

Though you would not be assembling human genome, you will be exposed to the challenges faced during a real genome assembly of a bacterial genome.

A very theoretical specialization ending with practical problems.

Excellent assignments - a great capstone course to complete the data structures and algorithms specialization. The assignments make sure that you go back and revise the concepts you learnt early in the specialization as they need an in-depth understanding of the concepts taught earlier. But be prepared to take some hardship, spend that extra effort and break your brain in fine-tuning your solutions. Highly recommended...

This is how algorithms should be.

Very nice applications of the algorithms learned during the specialization.

You won't get help from the instructors, but hopefully from the students. Besides, since this is the "capstone project", you are supposed to do it by yourself.

The only negative point is that at the beginning of the specialization, they announced that there were going to be different options for the capstone project. This one is more like a regular course.

But I learned interested applications of the algorithms I learned, and I'm happy for it.

Very complicated tasks; Too much bioinformations

very practical specialization, though some programming assignments are really hard to solve.

I don't think the Peer-Review evaluation is a good idea. Basically, it didn't add any value, apart from multiple re-submissions I had to make and constant check/request on the forum to evaluate.

Good course and final capstone project. Would recommend anyone from beginner to professional.

Really tough and enjoyable Project. Learnt something very special.

Great challenge, requires quite a lot of time, patience and dedication. But in the end, if you eventually come through all of the trials - you will become a better programmer, for sure.

I've put 4 of 5 because of the mismatches in tasks description for the capstone project, when i had to guess, where the mismatch is, spending extra hours of my time

Very hard to finish the course in the given time....

I wish I had the choice of pursuing graph algorithms, when I signed up for the specialization with the promise of selecting one of the two Capstone projects. Bioinformatics? I wanted the other one on practical graph algorithm applications. There are already two dedicated courses by Pevzner and et al, which would have prepared us better for this too specialized and impractical Capstone project...

This course took me three months of several hours of work a week to complete. While I definitely learned a lot during that process, it would have been really helpful to have more active instructor engagement and feedback (although I realize that this may not be possible when an official course session is not in progress, which is when the bulk of my work for this course took place).

I also think many of the problem statements could have been more clearly defined. For example, I spent a lot of time on the "Bubble detection" problem constructing graphs that allowed for multiple edges between two nodes, when it turned out that in order to pass I did not need to implement this.

That being said, I've learned a lot from the courses in this specialization, and thanks for the work put into it!