学生对 University of Washington 提供的 Computational Neuroscience 的评价和反馈
课程概述
热门审阅
MA
Jul 12, 2017
A good look at mathematical models focusing mainly at the synapse and neuron level. The math came a little fast and furious for my 30+ years antique math training.
HS
May 17, 2020
Excellent course! The field of comp neuro was brough to life by the instructors! The exercises really helped in understanding the content.
176 - Computational Neuroscience 的 200 个评论(共 273 个)
创建者 Smith H
•Jan 27, 2026
Quite rigorous. Loved it
创建者 Aditya V
•Dec 12, 2017
loved it ...learned alot
创建者 Vili W
•Jul 28, 2019
Very enjoyable course!
创建者 2k20_EC_117 M G
•Oct 30, 2022
Very well explained!
创建者 刘仕琪
•Mar 11, 2017
The teacher is funny!
创建者 Jorge S
•Feb 17, 2023
Fantastic course!!
创建者 Cian M
•Oct 5, 2019
Very nice indeed!
创建者 Gavin J J
•Sep 11, 2017
Its an eye opener
创建者 2K19/BT/014 D N
•Nov 12, 2022
VERY NICE COURCE
创建者 RAMAN S
•Sep 26, 2020
Excellent course
创建者 Palis P
•Jun 14, 2020
Just amazing! :)
创建者 2K20_EC_139_ p
•Dec 9, 2022
Awesome Content
创建者 Bilal C
•Apr 12, 2017
I recommend it
创建者 Mtakuja L
•Apr 2, 2017
Nice course !
创建者 Abhishek_IIITMG
•Jan 4, 2026
great course
创建者 BONFACE M A
•Nov 14, 2022
Great course
创建者 Ekin K
•May 16, 2021
great course
创建者 KUNXUN Q
•Apr 27, 2017
very helpful
创建者 Sourabh J
•Nov 5, 2016
Good course!
创建者 CHENNA S M
•Oct 25, 2025
fine good
创建者 Emaan r
•Sep 30, 2025
good
创建者 sanchay b
•Aug 26, 2025
Good
创建者 Jacob D
•Oct 20, 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.
创建者 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.
创建者 raknahs
•Aug 16, 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.