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Learner Reviews & Feedback for Computational Neuroscience by University of Washington

4.6
stars
787 ratings
184 reviews

About the Course

This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory. Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning. We will make use of Matlab/Octave/Python demonstrations and exercises to gain a deeper understanding of concepts and methods introduced in the course. The course is primarily aimed at third- or fourth-year undergraduates and beginning graduate students, as well as professionals and distance learners interested in learning how the brain processes information....

Top reviews

AG
Jun 10, 2020

Brilliant course. For a HS student the math was challenging, but the quizzes and assignments were perfect. The tutorials and supplementary materials are super helpful. All in all, I loved it.

CM
Jun 14, 2017

This course is an excellent introduction to the field of computational neuroscience, with engaging lectures and interesting assignments that make learning the material easy.

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176 - 182 of 182 Reviews for Computational Neuroscience

By ­배용희(대학원/일반대학원 물

Feb 29, 2020

Best for the beginner.

By Christopher M

Jun 3, 2017

[3.5 stars] The course provides an overview of some interesting topics. I would have prefer more emphasis on applications, perhaps in the form of additional exercises. Overall, I have my adventure hat on and I am excited to push on further into the neuro-jungle.

By Renjith B

Feb 20, 2018

I just started the course. But it is exciting for me as a Machine learning and deep learning practitioner!!!

After week 1, the learning curve is steep. The topics are exciting but lectures are not engaging.

By Sami J

Jan 27, 2020

Very interesting, buy also pretty superficial. Surprisingly low amount of hands-on computation considering that it's a class in computational neuroscience.

By M K

Sep 10, 2020

The course is hard in terms of a student at UG level. The teachers are super fun and amazing they teach really well though. But the course is hard.

By Mathew T K

Jun 4, 2020

The course started out quite well, but increasingly became very difficult to follow. Instruction during the second week through the fifth week was particularly difficult for me to understand. Only the additional lectures by Rich made sense, but didn't go deep enough to help me understand the course material.

By Tanvi P

Jul 14, 2020

The course is good but requires excellent math and programming skills. Students who don't like math might face some difficulties.