NOT FOR BEGGINNERS!!!

Excellent material and teachers. I can't follow them

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!

Full of knowledge

good

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I liked this course more years ago, when I agreed without the possibility of having a certificate. Today I register it to have the certificate and I am surprised how much it has changed. Many videos were removed and you practically depend on reading the material on Stepik. Perhaps the biggest problem is the lack of clarity of the pseudocodes and the disaster of having to wait for someone to review your assignment to complete the course. It is unbelievable that in 2022 that will be a limitation to obtain the certificate.

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.

The difficulty of this course is not at all beginners from a biologist's perspective. The difficulty of this course increases drastically from week 1 to week 2. I kindly suggest that the course coordinator to review the content as some students have pointed out that there are certain errors here and there in the stepik tool's content. Another point is that certain terminology presented in stepik are quite poorly explained.

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".

Die Inhalte waren verständlich und gut strukturiert, jedoch braucht man Vorkenntnisse bezüglich des Programmierens, da dies nicht wirklich erklärt, aber für die Honors-Aufgaben vorausgesetzt werden. Der Pseudocode ist leider keine Hilfe dabei.

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.

The course says that anyone can participate without knowing programming, but since the first module is necessary to use some language programming to complete the tasks; learn the biologic lessons is not enough.

I have to quit in w3. Algorithms are important in this field, but I failed to find the passion to solve these pure mathematical problems if they're already done by smart people.

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

It's hard to finish some tasks. There is no theoretical or practical basis in the resources to understand well some of the themes

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