Digital Humanities encompass a variety of topics, from curating online collections to data mining large cultural data sets. Description: Digital Humanities encompass a variety of topics, from curating online collections to data mining large cultural data sets. Please join us for a 1-day symposium where leading scholars will present and discuss hands-on digital humanities projects […]
This course extends the topics introduced in the Introduction to Linux class, including a lightning review of the introduction topics and then extending to large scale data processing. Description: This course extends the topics introduced in the Introduction to Linux class, including a lightning review of the introduction topics and then extending to large scale data processing. […]
This workshop covers several advanced topics in R, including building web apps with Shiny and reports with RMarkdown. Description: This workshop covers several advanced topics in R, including building web apps with Shiny and reports with RMarkdown. This workshop covers RMarkdown and will include composing an analyses in an RMarkdown document. There will be an […]
This course is for researchers who have never used Linux and/or a computer cluster and introduces concepts and best practices for both. Description: This course is for researchers who have never used Linux and/or a computer cluster and introduces concepts and best practices for both. This course covers how to best exploit the bash shell […]
The workshop teaches the basics of using command line software to analyze NGS data such as RNA-seq and ChIP-seq. Description: The workshop teaches the basics of using command line software to analyze NGS data such as RNA-seq and ChIP-seq. We cover NGS workflow, general data analysis pipeline, short read alignment software, general workflow for DNA-seq, […]
Learn about the practice of predictive modeling using Python. Description: Learn about the practice of predictive modeling using Python. To find out about future one-day courses, please join our mailing list. Python is a popular language for scientific processing and machine learning. This course will introduce general modeling concepts in addition to concrete examples based […]
This course provides an introduction to the fundamentals of the R language and its applications to data analysis. Date:April 22, 2016 Time:9 a.m. to 5 p.m. with lunch provided Location: Donald Bren Hall, Room 4011 In this course, you will learn how to program in R and how to effectively use R for data analysis. The […]
This course provides an introduction to the fundamentals of the R language and its applications to data analysis. Description: This course provides an introduction to the fundamentals of the R language and its applications to data analysis. In this course, you will learn how to program in R and how to effectively use R for […]
Learn about the practice of predictive modeling using Python. Description: Learn about the practice of predictive modeling using Python. To find out about future one-day courses, please join our mailing list. This half-day course builds upon Predictive Modeling with Python, covering best practices for building predictive models that perform well in noisy, real-world domains. Feature […]
Symposium: Fostering Literacy and Learning with Text and Data Mining Date: Friday, May 6, 2016 Time: 12:00 – 5:00 p.m. Location: UC Irvine, Calit2 Auditorium (directions) Visit the Fostering Literacy and Learning with Text and Data Mining event page for a list of speakers and more information. This event is free and open to the public. RSVP […]