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 5 of 7 in the Bioinformatics Specialization
LevelBeginner
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.2 stars
Average User Rating 4.2See what learners said
Syllabus

FAQs
How It Works
Trabajo del curso
Trabajo del curso

Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.

Ayuda de tus compañeros
Ayuda de tus compañeros

Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.

Certificados
Certificados

Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.

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
AuditarComprar curso
Accede a los materiales del curso

Available

Available

Accede a los materiales con calificación

Not available

Available

Recibe una calificación final

Not available

Available

Obtén un Certificado de curso para compartir

Not available

Available

Ratings and Reviews
Rated 4.2 out of 5 of 13 ratings

very good.

as all the other courses of the specialization, this course is addictive, intelligent, and you learn a lot

the part about EM is the best I know, and first time I understand the EM algorithm.

The first two week was very good, but for week 3 I don't see the content has any connection with Genomic Data Science.