Who is this class for: This course is primarily aimed at undergraduate-level learners in computer science, biology, or a related field who are interested in learning about how the intersection of these two disciplines represents an important frontier in modern science.

Created by:   University of California, San Diego

  • Pavel  Pevzner

    Taught by:    Pavel Pevzner, Professor

    Department of Computer Science and Engineering

  • Phillip E. C. Compeau

    Taught by:    Phillip E. C. Compeau, Asst Teaching Professor

    Carnegie Mellon University

Basic InfoCourse 1 of 7 in the Bioinformatics Specialization.
Commitment4-10 hours/week
How To PassPass all graded assignments to complete the course.
User Ratings
4.7 stars
Average User Rating 4.7See what learners said
Course 1 of Specialization
Journey to the Frontier of Computational Biology. Master bioinformatics software and computational approaches in modern biology.


When will I have access to the lectures and assignments?

What if I need additional time to complete the course?

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Is financial aid available?

How It Works

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers
Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.


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University of California, San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
Ratings and Reviews
Rated 4.7 out of 5 of 135 ratings

It may be more helpful to students who are not taking the honors code if they had access to ready made programming codes to complete the stepik exercises as it is extremely taxing and not feasible to solve all problems by hand.

Brilliantly structured and very effective learning method!

I also felt that Gibbs sampling could have been explained further or more in detail.

Thank you!

You'll learn a bit of biology, but the emphasis is on algorithms and the interactive course will let you work your way through a series of (almost) real-life problems. Decent programming skills are needed to enjoy the course fully as some of the exercises are challenging, but the friendly forum helps anyone that gets stuck. Definitely one of my top MOOC's ever, I'll probably take the whole specialization just for fun.

I like the intersection of computer science and biology!

This is certainly not a course for beginners! The content of the course were rather complex and prior computer science knowledge is extremely helpful to finish this course. It was a struggle for me to finish this course without any background in computer science. However, it was definitely challenging and gave me an insight on how two different disciplines can be connected in a single field of study. The only improvement I could think of is if there were videos regarding the basic computer science knowledge that could have helped biologists such as myself. Perhaps giving an example on how things are done could be useful. There were only a handful of examples and the examples only gave the answers but did not explain how to get that answer well enough.