Computational Molecular Evolution

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9/10 stars
based on  4 reviews
Provided by:
Cost FREE
Start Date TBA

Course Details

Cost

FREE

Upcoming Schedule

  • TBA

Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4694 reviews

Course Description

In this course you will learn about how and why DNA and protein sequences evolve. You will learn the theory behind methods for building and analyzing phylogenetic trees, and get hands-on experience with some widely used software packages.
Reviews 9/10 stars
4 Reviews for Computational Molecular Evolution

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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wishbonecollector profile image
wishbonecollector profile image
10/10 starsTaking Now
  • 2 reviews
  • 0 completed
5 years, 10 months ago
I agree with the first reviewer that pointed out how much work the professor put into this course before it started. He wrote up a guide, set up program packages, and decided on a pretty workable method for using all the software that we need. The lectures are at a leisurely pace compared to many courses I have taken, and the content is concise and up to date. Most tellingly however, is that although I have no experience in programming or Linux systems, I have been able to complete all the computing assignments and navigate the programing environment like system we use. All in all I'm very satisfied and would highly recommend taking this course.
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David Siegel profile image
David Siegel profile image
9/10 starsCompleted
  • 2 reviews
  • 2 completed
5 years, 6 months ago
I enjoyed this one a lot. Great introduction to the techniques used to develop phylogenetic trees. Excellent support from the professor. The assignments were, in the main, tutorials, walking you through the process of using the tools to derive a result.
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Amy Wilson profile image
Amy Wilson profile image
9/10 starsCompleted
  • 7 reviews
  • 4 completed
5 years, 9 months ago
This course is lightweight but what there is of it is of high quality. Clear lectures and polished assessments. The lecturer was very active in the forums and once I even saw him respond to a student saying they didn't understand why they got an answer wrong in an assignment by saying he looked at that students submission and worked out where they were having difficulty for them. That never happens in MOOCs!
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Ricardo Teixeira profile image
Ricardo Teixeira profile image
10/10 starsCompleted
  • 86 reviews
  • 77 completed
5 years, 10 months ago
This is a great introductory course on computational methods for models of evolution, mixing great insights in the fields of Biology and Statistics. It's "computational", but there's no programming. The professor really had a lot of work to prepare the exercises so that you don't really need to write code yourself, but still learn how to use available packages to solve real research questions. So don't be afraid to take the course even if you don't know how to code! The exercises are assisted and you won't have much problem solving them, as long as you get the concepts. I highly recommend future sessions of this course to everyone, regardless of background. Some courses teach you about the concept of evolution, but this one actually gives you hands-on experience with true methods for research in the topic.
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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.