Very interesting lectures and practical assignments. But in my opinion the capstone project is not too interesting for "computer" people.

The course was great. I would recommend it to anyone interested. There are a few things to fix, especially on the external toolkit.

Some of the Stepik material needs to be updated and put in more clear and simpler language. Otherwise, great learning curve!

The programming assignments could have been described more appropriately otherwise the course material was quite great.

I couldn't finish successfully last question but I don't know why. I believe I understand the meaning of the question

The answers are stale. MEME tool results don't match what they expect. It takes a while to find students to review.

Есть недоработки, но вместе с комментариями других учащихся, можно разобраться в сути заданий

Some parts are written in a way that is very hard to understand, but overall good course

The two platform format is quite complex. But the material is excellent!

The course was very informative, but at points it was very confusing.

Very well explained for both biologists and computer scientists.

Best lecture to dive into Bioinformatics first time!

Not made for a biologist but for a programming man.

Good Course but at times difficult to understand.

it was an amazing course!!

The course is great!

E

To be completely honest, I was expecting more from this course. One big setback is that the course material does not really go into biochemical fundamentals of what is going on, and instead jumps straight into algorithms. This might work for someone with enough background in biology who needs to learn to code. I, on the other side, have already had some exposure to software development and algorithms, but when Pavel mentions gene expression and transcription I have a very vague idea what he is talking about.

Course was easy to follow and the explanations made sense from the instructors about half the time. The other half, the coding sections and pseudocode would be horribly confusing. The sections about random motif finding and gibbs sampling were particularly frustrating. I would say some coding experience is necessary to do well in this course in a reasonable timeframe.

It´s too dificult. It says that this course is for beginners, and during the course they assume that we know Python or any other programming language. I passed the first week of bioinformatics 1, but I gave up with the second week. I recommend first doing the course "Biology meets programming".

You need an intermediate/advanced level in programming to be able to do the honours track, if you can't do it the course is completely useless because you can only read about how to code without being able to do the coding.

An interesting course that i would have love to study but with no computer programming knowledge, studying this course has been very difficult and not encouraging

I strongly suggest anyone who opts to attend this course to have solid python fundamentals (or Java, Javascript, C, etc).

Their is not enough explanation for the algorithms found in the video and code

Pseudo codes are not well explained