Jul 30, 2018
This course is very very good. Challenging at times. It does not hold your hand at all times and sometimes requires research to solve some of the problems, but I like the community and the approach.
Sep 11, 2019
The material of the course is simply exquisitely presented. The concepts are clear, easy to grasp. You won't be a bioinformatician after doing this course, but you'll make the first step.
von Luis S M F•
Jun 04, 2020
von Weidong X•
Nov 26, 2016
von Greta G•
Jan 11, 2019
von Owen J•
Jan 04, 2017
This is certainly not a course for beginners! The content of the course were rather complex and prior computer science knowledge is extremely helpful to finish this course. It was a struggle for me to finish this course without any background in computer science. However, it was definitely challenging and gave me an insight on how two different disciplines can be connected in a single field of study. The only improvement I could think of is if there were videos regarding the basic computer science knowledge that could have helped biologists such as myself. Perhaps giving an example on how things are done could be useful. There were only a handful of examples and the examples only gave the answers but did not explain how to get that answer well enough.
von Jennifer M M•
May 01, 2018
Great course. Good introduction to applying computer science to real biology problems. Only cons to this course is that it tries to split the line between biologists wanting to learn more bioinformatics and data scientists wanting to learn bioinformatics which boils down to the coding being tough and at times not well explained and there not being enough explanation for the biology part. I wouldn't take this if you don't have any coding skills because without working through the coding challenges the course isn't useful and for those with what would be more novice coding skills (like me) be prepared to spend a lot of time on this course. Well worth the challenge.
von Micheal A•
Jun 26, 2018
I found this course incredibly enlightening and because I feel so highly of it I'm going to buy the accompanying book. My one issue is with peer evaluation of the final assignment, I don't believe in peer evaluation in situations where the peers may not be trained. What if one of the graders don't understand why they have a question wrong, despite having seen the answers. I don't think such a person should be allowed to perform evaluations. That being said,all the algorithms and the explanations behind them, super interesting and because I have taken this course and learned what I have, I am now considering graduate school in this field.
von Liudmila D•
Jul 18, 2020
The authors are funny guys and the explanation of material is solid. However, I found programming tasks not specified properly. I found difficulties in understanding ~25% of tasks and I had to read comments to get the task properly. In addition, there are lots of dependencies on syntaxis output which has nothing to do with answers and material understanding. Poor biologists who attempt to complete the programming section. It has to be improved (and there are tons of ideas on how to improve it in Stepik comments ). Just improve the programming part and the course will become invaluable!
von Beatrice R•
Sep 28, 2017
I enjoyed and learned a lot from this course. I have no background in biology or computer science. My recommendation would be that there are more examples and explanations and problem-solving activities that do not require programming. This is my first Coursera course and I realize I could have benefitted more from hearing and speaking about what I was learning. It would have helped me answer the short-answer questions of the project. I hope to complete the specialization and have already started the second course.
von Duncan P•
May 03, 2020
This is a really good introduction to finding motifs - thank you!
The main thing I feel could do with some attention is the automated marking of some of the assignments, particularly the final one on Week 4, where only 7% of submissions are marked as correct because the probabilistic algorithm only gets the expected answer some of the time. There is also often inconsistency on expected whitespace (really, who care about insignificant whitespace).
von Francois O•
Oct 31, 2017
Very interesting. I learned two important concepts about DNA during this class. C-G skew due to a more likely odd of mutation; and how to find motifs in seemingly random DNA strings. However some pseudocodes need some improvements. They sometime have part that only make sense after you read comments by other students, or variable names that could be better chosen (I wrote a comment at that place).
von Rohit C R•
Jan 15, 2017
It may be more helpful to students who are not taking the honors code if they had access to ready made programming codes to complete the stepik exercises as it is extremely taxing and not feasible to solve all problems by hand.
Brilliantly structured and very effective learning method!
I also felt that Gibbs sampling could have been explained further or more in detail.
von Fikrat T•
Nov 11, 2019
Excellent course. Excellent tutors. I am a fan of stepik.org and this course. However, the only thing that I consider redundant in this course is peer to peer assignment; and I guess solution here is to reduce number of peers who must review the assignment. I think 3 peers are enough to grade the assignment.
But everything rest is top!
von Shane P•
Aug 15, 2020
Great course! Really liked the instructors and the online tool to follow along with concepts and coding challenges. There were a few points with vague instructions that took some extra time to figure out. Would definitely recommend this course but it will be more difficult for people with little to no programming experience.
von Lee Z Y•
Sep 27, 2020
Content-wise it was great. I got quite disheartened by the peer graded assignment: the majority of the submissions I graded just copied the rubric. There needs to be a negative grade for cheaters - but I think it better that we don't have peer-graded assignments in the first place.
von Yousef A S A•
Jan 12, 2019
I really liked the course, I had fun finishing assignments and learning the theory behind each concept. However, I take my time very seriously and this course has underrated the time you should devote as I end up having too much pressure due to other work I should be doing.
von Michael O•
Jun 29, 2016
Very nice course and information, but backend could be more polished. Many tasks (expecially about randomized algorithms) could fail even if you do 100% right. And very little debug information provided.
von Christiane A•
Mar 06, 2017
Fascinating subject where informatics and biology come together . By taking these courses you get a deep understanding of how research results are obtained by multidisciplinary teams.
von Dhivyaprakash N•
Sep 27, 2020
It was very tough and worth attempting it because I have given many numbers of attempts in all the quizzes but at every attempt, I could rectify my mistakes.
von Estefania E•
Jun 28, 2017
A good course and introduction. Some of the computer graded homework assignments need better explanations for the desired result set, to avoid frustration.
von Igor K•
Aug 18, 2017
Very interesting lectures and practical assignments. But in my opinion the capstone project is not too interesting for "computer" people.
May 01, 2020
The course was great. I would recommend it to anyone interested. There are a few things to fix, especially on the external toolkit.
von Shabnam S•
May 14, 2020
Some of the Stepik material needs to be updated and put in more clear and simpler language. Otherwise, great learning curve!
von ARUNESH N•
Jun 08, 2020
The programming assignments could have been described more appropriately otherwise the course material was quite great.
von Juana S L•
Apr 22, 2018
I couldn't finish successfully last question but I don't know why. I believe I understand the meaning of the question
von Cagdas U•
Jan 05, 2019
The answers are stale. MEME tool results don't match what they expect. It takes a while to find students to review.