Computational Neuroscience
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Rating | 4.4★ based on 154 ratings |
---|---|
Length | 9 weeks |
Starts | Jun 26 (40 weeks ago) |
Cost | $49 |
From | University of Washington via Coursera |
Instructors | Rajesh P. N. Rao, Adrienne Fairhall |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Science Data Science |
Tags | Computer Science Life Sciences Data Science Algorithms Machine Learning Bioinformatics Health Informatics |
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What people are saying
computational neuroscience
Ihave given me exactly the flavor of what Computational Neuroscience is and what are the field of applications, which are REALLY interesting.
Extremely enlightening course on how Neuron's work and the science of computational neuroscience.
I believe this course should be renamed to "An Introduction to Computational Neuroscience" I enjoyed the course very much and hopefully learned quite a bit about how to model neurons and some interesting new ways to look at methods like perceptrons and PCA.
I found the course very informative and covers topics in computational neuroscience that are critical to further my research in the computational direction.
In regards to computational neuroscience as a course, the material itself is beginner-level, but the math/programming is definitely not (more like intermediate/advanced).
Its an eye opener One of the best courses on computational neuroscience I found this course helpful and inspiring for my research activity.
Its a fantastic course for any one interested in the computational neuroscience field.
Great overview of a really cool field, gives nice intuitions for ideas in computational neuroscience.
This course is an excellent introduction to the field of computational neuroscience, with engaging lectures and interesting assignments that make learning the material easy.
Great course introducing fundamental concepts in computational neuroscience.
Thanks so much for providing this :-) Great class for both professional in machine learning and computational neuroscience.
I must admit that, before starting this course, I was skeptic about an online course on Computational Neuroscience.
this course is perfect for who wants to get familiar with computational neuroscience general concepts.
This course is an absolute must for those interested in computational neuroscience.
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rajesh and adrienne
I loved the course and the way Professors Rajesh and Adrienne conducted it.
I really appreciated the effort of Rajesh and Adrienne to explain the complex mechanisms of neurons and brain functions in a clear and enjoyable way.
Thanks Rajesh and Adrienne!
Many thanks to both Rajesh and Adrienne for this course!
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very good
First Lecture Series was very good and interesting.
Thanks a lot The course over all was very good but I didnt given it five because of the following : in course 2-5 the lectures were not coherent and the there was no expalantion for how certain experiments or measurments were done and hence natural progression to associate the mathematics.
You have managed to explain complex knowledge in a simple way I recommend it GIves a very good introduction to the field.
Very good teaching skills by both professors and interesting guest lectures and tutorials.
In general very good, but some concepts are rushed over due to the short length of the course.
A very good introduction to computational neuroscience!
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linear algebra
You can benefit from it as long as you have basis in calculus and linear algebra.
It has a nice structure, and the progress is quite reasonable assuming you have decent background in linear algebra and calculus derivations.
A solid background in linear algebra, statistics, and some basic calculus is recommended to get the most out of the course.
Solid background in probability theory, linear algebra and signal processing is needed.
The course demands a relatively high level of mathematics (such as linear algebra, optimization problems, etc.
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very interesting
Very interesting and well taught course.
This is a very interesting course that provides many interesting ideas.
Very interesting and well organised course.
Very interesting topic.
Very interesting, buy also pretty superficial.
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Basic Training $50k
Computational Scientist Contractor $62k
EMT-Basic 1 $63k
Basic Education $67k
Undergraduate Computational Researcher $68k
Computational Biologist 1 $93k
Associate Computational Biologist 2 $95k
Computational Linguist Job $123k
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Computational Mathematician $148k
Senior Computational Linguist $153k
Senior Computational Mathematician $233k
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Rating | 4.4★ based on 154 ratings |
---|---|
Length | 9 weeks |
Starts | Jun 26 (40 weeks ago) |
Cost | $49 |
From | University of Washington via Coursera |
Instructors | Rajesh P. N. Rao, Adrienne Fairhall |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Science Data Science |
Tags | Computer Science Life Sciences Data Science Algorithms Machine Learning Bioinformatics Health Informatics |
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