Absolutely nice

well explained

Great Course!

Good course!

perfect ！！！

Very Clear!

Thank you!

Thank you!

Very good!

Great!!!

Thanks

Well explained, clear lectures with challenging homework assignments. Coming into it as a biologist was challenging since the course is designed for computer scientists, and if you are a newbie to programming you will most likely need to spend significant time outside of the course materials. The course would be hugely improved by providing examples of ideal code once students have passed the relevant quizzes/homeworks - at least then you can compare your own work to ideal code, and learn a good approach, rather than potentially take away a flawed one.

This course gives a good introduction to some basic algorithms.

The standards it sets for students, however, is very low. They ask you to download an already written piece of Python code and change a line or two.

To get the most out of this course, I recommend implementing all the algorithms yourself, perhaps even in a different language.

"Algorithms on Strings, Trees and Sequences" by Dan Gusfield will be very useful for that.

Very engaging and interesting course! Ben Langmead explains concepts very clearly and has clean, well-structured presentations. Enough biological background is provided even for individuals with no experience with genomics. What I found most helpful about the course is that the Jupyter Notebooks from the lectures are freely available on GitHub.

I was completely new to Python when I started this course - and the good news is I learned enough to complete! (Yay!)

I suspect I'd have given the course 5 stars had I started with slightly more Python knowledge.

Still, the feeling of having got through is sweet all the same!!

Almost perfect. Had a little trouble finding the (not really) provided downloadable files. Very good lectures, okay coding practicals (lack a bit of deeper explanation, feel a bit rushed). Other than that, a relly helpful course to learn the basics of handling DNA reads!

The lectures are really excellent. Things that could be improved are coding instructions. These clips are not always as clear as lectures. My suggesting is using some graphs, examples, or pseudo code when writing the python codes.

It is well explained. More space to programming practical exercise is suggested.Very intriguing Programming Homework! You have to apply all the python knowledge you have learned so far and also the one you have still to learn :)

If you do not have a coding background, you might find the homeworks hard but the practicals in the course are very helpful.

Very good lectures. Some of the homework assignments were kind of hard though (and no help in the discussion forums).

Great teaching, very interesting content. Only missing some checking of the contents (homework pages especially).

Useful and really good, maybe complicated for those who are new at programming, but well worth it.

Awesome course. I recommend it to all how like programming and biology, specially DNA.

It was a really good course to start in the field of computational genomics.

Good course quite engaging, could be improved in certain areas!