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
Trabalho
Trabalho

Cada curso é como um livro didático interativo, com vídeos pré-gravados, testes e projetos.

Ajuda dos seus colegas
Ajuda dos seus colegas

Conecte-se com milhares de outros aprendizes, debata ideias, discuta sobre os materiais do curso e obtenha ajuda para dominar conceitos.

Certificados
Certificados

Obtenha reconhecimento oficial pelo seu trabalho e compartilhe seu sucesso com amigos, colegas e empregadores.

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.
Pricing
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Acesso a materiais valendo nota

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Receba uma nota final

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Ratings and Reviews
Rated 4.7 out of 5 of 264 ratings

Very tough but rewarding class. The programming part was easy, the algorithms kicked my butt. Love the challenge and can't wait to take the rest!!! Such an interesting field!

E

Very interesting. I learned two important concepts about DNA during this class. C-G skew due to a more likely odd of mutation; and how to find motifs in seemingly random DNA strings. However some pseudocodes need some improvements. They sometime have part that only make sense after you read comments by other students, or variable names that could be better chosen (I wrote a comment at that place).

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.