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X-WR-CALDESC:Events for Data Science Initiative
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DTSTART;TZID=America/Los_Angeles:20161007T090000
DTEND;TZID=America/Los_Angeles:20161007T170000
DTSTAMP:20260802T044028
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SUMMARY:Introduction to R
DESCRIPTION:This course provides an introduction to the fundamentals of the R language and its applications to data analysis. \n \nIn this course\, you will learn how to program in R and how to effectively use R for data analysis. The course covers an introduction to data/object types in R\, reading data\, creating data visualizations\, accessing and installing R packages\, writing R functions\, fitting statistical models including regression models and performing statistical tests including t-tests and ANOVA. Practical examples will be provided during the course. \nDate:October 7\, 2016 \nTime:9 a.m. to 5 p.m. with lunch provided \nLocation: Donald Bren Hall\, Room 4011 \nInstructor: Emma Smith\, Steven Brownlee\, UC Irvine \nPre-requisites: 1) familiarity with basic statistical concepts\, and 2) basic programming knowledge. For the tutorial\, bring a laptop with R downloaded and installed and WiFi. \nTeaching material repository:https://github.com/UCIDataScienceInitiative/IntroR_Workshop
URL:https://datascience.uci.edu/event/introduction-to-r-8/
CATEGORIES:Data Science Event
ATTACH;FMTTYPE=:
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DTSTART;TZID=America/Los_Angeles:20161020T090000
DTEND;TZID=America/Los_Angeles:20161020T170000
DTSTAMP:20260802T044028
CREATED:20161008T162053Z
LAST-MODIFIED:20161008T162053Z
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SUMMARY:Next Generation Sequencing Data Analysis
DESCRIPTION:This course provides an introduction to the basics of using open source software tools to analyze large scale genomics data\, specifically Next Generation Sequencing data.\n \nIn this course\, you will learn general NGS workflow\, data analysis pipeline\, data formats\, short read mapping and alignment software\, general workflow for DNA-seq\, RNA-seq and ChIP-seq. Data visualization tools will also be covered. Single Cell RNA-seq will be discussed. \nDate:October 20\, 2016 \nTime:9 a.m. to 5 p.m. with lunch provided \nLocation: Donald Bren Hall\, Room 4011 \nInstructor: Jenny Wu\, UC Irvine \nPre-requisites: Some programming experience is recommended. For the tutorial\, bring a laptop with wifi and is pre-registered with the UCI Mobile network with a free HPC account. For Windows users\, please install the “putty” terminal program (PuTTY) and the Windows x2go client (x2go). \nLearning Materials:http://ghtf.biochem.uci.edu/content/ngs-data-analysis
URL:https://datascience.uci.edu/event/next-generation-sequencing-data-analysis/
CATEGORIES:Data Science Event
ATTACH;FMTTYPE=:
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DTSTART;TZID=America/Los_Angeles:20161025T090000
DTEND;TZID=America/Los_Angeles:20161025T170000
DTSTAMP:20260802T044028
CREATED:20161008T164036Z
LAST-MODIFIED:20161008T164036Z
UID:1907-1477386000-1477414800@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:October 25\, 2016 \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/a-deep-introduction-to-julia/
CATEGORIES:Data Science Event
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