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X-WR-CALDESC:Events for Data Science Initiative
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DTSTART;TZID=America/Los_Angeles:20170512T090000
DTEND;TZID=America/Los_Angeles:20170512T170000
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SUMMARY:Topics in R
DESCRIPTION:This course builds on our Introduction to R by teaching advanced visualization and data tidying.\n \nIn this course\, you will cover advanced visualization including ggplot and R Shiny. In addition to visualizations\, principles of tidy data and reporting will be discussed. \nDate: May 12\, 2017 \nTime:9 a.m. to 5 p.m. with lunch provided \nLocation: Donald Bren Hall\, Room 4011 \nInstructor:  Colleen Nell\, Dustin Pluta\, UC Irvine \nPre-requisites: 1) familiarity with basic statistical concepts\, and 2) intermediate R programming knowledge. For the tutorial\, bring a laptop with R downloaded and installed and WiFi.
URL:https://datascience.uci.edu/event/topics-in-r-2/
CATEGORIES:Data Science Event
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DTSTART;TZID=America/Los_Angeles:20170516T090000
DTEND;TZID=America/Los_Angeles:20170516T170000
DTSTAMP:20260417T173729
CREATED:20170407T120926Z
LAST-MODIFIED:20170407T120926Z
UID:2159-1494925200-1494954000@datascience.uci.edu
SUMMARY:Intro to Linux on the HPC
DESCRIPTION:This course is for researchers who have never used Linux and/or a computer cluster and introduces concepts and best practices for both. \n \nDescription: \n \nThis course covers how to best exploit the bash shell for both interactive work and batch jobs\, moving & simple manipulation of data\, as well very short introductions to programming in bash\, Perl\, and R. This is not computer science; this is a driver’s license. \nDate: May 16\, 2017\nTime: 9 a.m. to 5 p.m. with lunch provided\nLocation: Donald Bren Hall\, Room 4011\nInstructor: Harry Mangalam\, OIT/HPC\, UC Irvine\nPre-requisites: For the course\, none. For the tutorial\, a laptop with WiFi\, with a terminal application (Macs have the Terminal app; Windows need putty)\, and both would benefit from ‘x2go’. \n 
URL:https://datascience.uci.edu/event/intro-linux-hpc/
CATEGORIES:Data Science Event
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DTSTART;TZID=America/Los_Angeles:20170526T090000
DTEND;TZID=America/Los_Angeles:20170526T170000
DTSTAMP:20260417T173729
CREATED:20170407T121417Z
LAST-MODIFIED:20170407T121417Z
UID:2161-1495789200-1495818000@datascience.uci.edu
SUMMARY:A Deep Introduction to Julia
DESCRIPTION:This workshop aims to introduce both users of scripting languages and advanced programmers to the Julia ecosystem and explore details about the Julia language which can help produce efficient and readable code.\n \nThe goal of the workshop is for students to understand where Julia can be applied and be well-equipped to start using Julia in their own research. Students will learn about the current state of Julia development (IDEs\, documentation\, where to get help)\, how to write efficient code by understanding some of Julia’s internals via small projects\, solve problems using advanced Julia features (metaprogramming\, multiple-dispatch\, etc.)\, and learn workarounds to common issues newcomers face (scoping problems\, type conversions\, etc.). \nDate: May 26\, 2017 \nTime:9 a.m. to 5 p.m. with lunch provided \nLocation: Donald Bren Hall\, Room 4011 \nInstructor: Chris Rackauckas\, UC Irvine \nPre-requisites: Solid understanding of programming. Installing Julia beforehand is not required\, though highly recommended. Attendees may wish to install the Julia/Atom IDE before the workshop\, though be advised this may not be easy (instructions). Help for doing so can be found at the UCI Data Science Initiative Gitter and the JunoLab Gitter. \nMaterials Repository:https://github.com/UCIDataScienceInitiative/IntroToJulia
URL:https://datascience.uci.edu/event/deep-introduction-julia/
CATEGORIES:Data Science Event
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