Learner Reviews & Feedback for Computational Neuroscience by University of Washington
About the Course
Top reviews
EA
Mar 13, 2024
Great background in mathematical models and theories. Great explanations. However, the assignments are not clear and some hints are misleading.
HL
Feb 26, 2017
interesting instructor and interesting content. Now I know more about the theoretical research related to neuro function and its connection to machine learning now.
176 - 200 of 273 Reviews for Computational Neuroscience
By Smith H
•Jan 28, 2026
Quite rigorous. Loved it
By Aditya V
•Dec 12, 2017
loved it ...learned alot
By Vili W
•Jul 28, 2019
Very enjoyable course!
By 2k20_EC_117 M G
•Oct 31, 2022
Very well explained!
By 刘仕琪
•Mar 12, 2017
The teacher is funny!
By Jorge S
•Feb 18, 2023
Fantastic course!!
By Cian M
•Oct 6, 2019
Very nice indeed!
By Gavin J J
•Sep 12, 2017
Its an eye opener
By 2K19/BT/014 D N
•Nov 12, 2022
VERY NICE COURCE
By RAMAN S
•Sep 27, 2020
Excellent course
By Palis P
•Jun 14, 2020
Just amazing! :)
By 2K20_EC_139_ p
•Dec 9, 2022
Awesome Content
By Bilal C
•Apr 13, 2017
I recommend it
By Mtakuja L
•Apr 3, 2017
Nice course !
By abhishek k
•Jan 4, 2026
great course
By BONFACE M A
•Nov 14, 2022
Great course
By Ekin K
•May 17, 2021
great course
By KUNXUN Q
•Apr 28, 2017
very helpful
By Sourabh J
•Nov 5, 2016
Good course!
By CHENNA S M
•Oct 25, 2025
fine good
By Emaan r
•Sep 30, 2025
good
By sanchay
•Aug 26, 2025
Good
By Jacob D
•Oct 21, 2020
This topic combines a lot of what I find interesting so I am grateful this course exists. Before I started it, my hope was to walk away with more familiarity and a solid foundation for computational neuroscience. As far as I can tell, I was in fact able to gain a basic understanding. There were also a lot of really fascinating concepts throughout the course.
My only issue is that some ideas (probabilities and encoding for instance) gave me a lot of trouble and I felt like instructor couldn't explain these things in a way that I could understand. Sometimes they'd just toss a bunch of unnecessary big words and equations or invoke strange conventions that I'm not comfortable with, leaving me struggling behind. To be fair, there were many ideas for which the instructor also gave very helpful examples or made intuitive connections with other ideas. I wish I could elaborate better on the teaching quality, but this is only a review.
Overall, I was exposed to many new interesting concepts. I seriously hope that I might be able to work in a field similar to this one day.
By claudio g
•May 22, 2018
I have really liked this course,but there is a lot of statistics I didn't expect to find at the beginning. Ihave given me exactly the flavor of what Computational Neuroscience is and what are the field of applications, which are REALLY interesting. Honestly I have found a bit too condensed the part regarding the description of "cause" and all the related statistic stuff which I think should deserve some 1 or 2 videos with solved problems. All summed up, I think this course is really worth of taking. Best regards to the professors and to the mentors and to those who have given me a lot of help with their posting on the forum. Their doubts and the relative answers have really been enlightening for driving me towards a better understanding of the matter. Thank you to all of you.
By raknahs
•Aug 17, 2024
This is a great course IF you are comfortable with undergraduate mathematics, statistics and computer science. The only downside is that a few quiz questions can be extremely frustrating when there are no explanations for seemingly odd answers even after you have passed the quiz. If you are unfamiliar with the aforementioned subjects I highly recommend starting with the free MIT 9.40 on youtube which covers the same material but with far greater depth and intuition; some basic python tutorials would also be beneficial. If I hadn't completed that course along with my undergraduate in mathematics and previous python experience, I would have struggled to complete this course and enjoy the insight and humour provided by the instructors.