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 Compeau

    Taught by:  Phillip Compeau, Visiting Researcher

    Department of Computer Science & Engineering
Basic Info
Course 1 of 7 in the Bioinformatics Specialization
LevelBeginner
Commitment4-10 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.7 stars
Average User Rating 4.7See what learners said
Syllabus

FAQs
How It Works
课程作业
课程作业

每门课程都像是一本互动的教科书,具有预先录制的视频、测验和项目。

来自同学的帮助
来自同学的帮助

与其他成千上万的学生相联系,对想法进行辩论,讨论课程材料,并寻求帮助来掌握概念。

证书
证书

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Creators
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.
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Ratings and Reviews
Rated 4.7 out of 5 of 247 ratings

I enjoyed and learned a lot from this course. I have no background in biology or computer science. My recommendation would be that there are more examples and explanations and problem-solving activities that do not require programming. This is my first Coursera course and I realize I could have benefitted more from hearing and speaking about what I was learning. It would have helped me answer the short-answer questions of the project. I hope to complete the specialization and have already started the second course.

Cool stuff, I didn't even realize how close we are computational linguistics.

This course was fun and very rewarding, I feel like I learned a lot about both algorithms and biology.

I have completed the Honors track---coming from a computer science background the algorithmic parts were mostly easy for me (I generally came up with all the algorithms on my own) but still fun to work through, especially because of their connection to real-world biology problems.

Interesting as the biological motivations had been they really only scratched the surface and made me want to learn more. For that I worked through the online MIT biology course [1] led by Eric Lander (of the Human Genome Project fame) that I cannot recommend enough.

[1] https://courses.edx.org/courses/course-v1:MITx+7.00x+2T2017/course/

This course is really educational and well designed. The course content is well structured and clearly described. If you have no previous knowledge in this topic, I would recommend to start with the beginner's course "Biology Meets Programming: Bioinformatics for Beginners" in order to be prepared for concepts like pseudocode or the computational way of thinking in general.

Definitely recommended!