Events

This workshop will introduce some fundamental topics in regression analysis using SPSS. The workshop will be divided into three parts. We will begin with a brief overview of simple and multiple regression, tying it back to familiar concepts such as correlation and t-tests. The second part will introduce regression diagnostics such as checking for normality...

This workshop introduces the use of the ggplot2, a powerful but easy-to-learn R package capable of producing some of the most attractive graphics of any statistical package. The underlying “grammar” of the graphics is taught with examples that emphasize data exploration and displaying the results of statistical modeling. The workshop assumes some basic knowledge of...

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression. Attendees should have the equivalent of an undergraduate course in statistics covering p- values, hypothesis testing, analysis of variance, and regression, and...

The Spring 2016 Mapping for Research Series Get.Into.Spring with G.I.S and your research Spring is in the air and there is no better time to think about how mapping could impact your work. Join us this April and dive into the world of mapping. Explore the latest digital mapping technologies and make your research project...

The Spring 2016 Mapping for Research Series Get.Into.Spring with G.I.S and your research Spring is in the air and there is no better time to think about how mapping could impact your work. Join us this April and dive into the world of mapping. Explore the latest digital mapping technologies and make your research project...

The BruinTech Board is proud to announce the 2016 BruinTech-a-thon, a mini conference where tech enthusiasts from around campus will give 30 minute presentations on the work they are doing in their departments. The event will feature presentations on a wide variety of current IT projects, issues, strategies, and techniques, as well as the opportunity...

The Spring 2016 Mapping for Research Series Get.Into.Spring with G.I.S and your research Spring is in the air and there is no better time to think about how mapping could impact your work. Join us this April and dive into the world of mapping. Explore the latest digital mapping technologies and make your research project...

IDRE Early Career Researchers Lunch and Meeting Date and Time: May 31, 2016 at 11:30 AM (Lunch will be served*) Location: Visualization Portal, 5628 Math Sciences Bldg. RSVP**: Link This IDRE Early Career Researchers Lunch and Meeting is the first in a series of informal get-togethers for young researchers in the computational sciences. Realizing that dedicated and...

Come and join us in the Portal for a Code for the Mission - Coffee and Cookie break “Meetup”! Want to build an app over the summer and win $5000 in September? Want to team up with Faculty Who have exciting app concepts? Have a neat idea for an App that will fit this year’s...

Funded by the National Endowment for the Humanities, this two-day symposium on Advanced Challenges in Theory and Practice in 3D Modeling of Cultural Heritage Sites will be held on Monday, June 20, and Tuesday, June 21. This event is the culmination of an Advanced Topics in the Digital Humanities Summer Institute co-hosted by University of...

This course is for users who want to learn how to write SAS programs. It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses. Learn how to, navigate the SAS Studio programming environment, navigate the SAS Enterprise Guide programming, environment, navigate the SAS windowing environment, read various...

This course teaches you how to process SAS data using Structured Query Language (SQL). This course can help prepare you for the following certification exam(s): SAS Advanced Programming Exam for SAS 9. Learn how to query and subset data, summarize and present data, combine tables, including complex joins and merges, create and modify table views...

Introduction to Stata, October 3:  Stata is a powerful and yet easy-to-use statistical package that runs on Windows, Macintosh and Unix platforms.  This class is designed for people who are just getting started using Stata.  The students in the class will have a hands-on experience using Stata for statistics, graphics and data management.  The class...

This session is a general introduction to how to use UCLA Hoffman2 Cluster. The objective is to familiarize current and potential cluster users with the Hoffman2 Cluster, so they can make the best use of UCLA computational resources. The following topics will be covered: How to access and login to the Hoffman2 Cluster, primarily in...

Introduction to SAS, October 10:  SAS is a powerful statistical package that runs on many platforms, including Windows and Unix. This class is designed for people who are just getting started using SAS. The students in the class will have a hands-on experience using SAS for statistics, graphics, and data management. The SAS class notes...

We will discuss how to effectively run jobs on Hoffman2 cluster. Hoffman2 cluster serves a wide spectrum of user applications and is almost always heavily loaded. Different kinds of jobs impose conflicting conditions in terms of job scheduling, given available computing resources. We will first review the components of Hoffman2 cluster, the shared cluster model,...

MPI (message passing interface) is the de facto standard for distributed-memory parallel scientific computing. While the entire MPI API is quite extensive, this class will cover a number of key ingredients commonly used in practice. This class is useful for those who plan to start writing MPI code, and for those who would like to...

Introduction to SPSS, October 17:  SPSS is a very easy-to-use statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use SPSS. The students in the class will have a hands-on experience using SPSS for doing statistics, graphics, and data management. The class notes...

Part-I session of Computing Environment on Linux class is aimed to help researchers who are new to Linux system. This two hour session will introduce basic Unix/Linux commands, shells, as well as a few editors available on most of the flavors of Linux operating system. The  user should be able to log in to a...

A SAS representative would like to introduce professors (and UCLA researchers in general) about free SAS resources that can be used for teaching.  The event will involve a short presentation by the SAS representative, but will mostly be a Q&A session.

The second session of the Computing Environment on Linux is about the use of the Linux system for computation. It will describe the compilation and execution procedures for a given source program. A sample software code will be used to demonstrate the computing tools, such as makefile, debugger, and profiler, available on most flavors of...

Introduction to R, October 24:  R is a powerful statistical package that runs on many platforms, including Windows, Macintosh and Unix. This class is designed for people who are just getting started using R. The students in the class will have a hands-on experience using R for statistics, graphics, and data management. The R class...

Introduction to R, November 8:  R is a powerful statistical package that runs on many platforms, including Windows, Macintosh and Unix. This class is designed for people who are just getting started using R. The students in the class will have a hands-on experience using R for statistics, graphics, and data management. The R class...

This talk will introduce the concepts and jargon of structural equation modeling (SEM).  We will demonstrate how to fit SEMs for continuous outcomes using the -sem- command in Stata.  We will also demonstrate how use Stata's -gsem- command to fit multilevel structural equation models that include continuous, binary, multinomial, ordinal and count outcomes using a...

If you currently use Hoffman2 or are interested in doing so, this is a great opportunity to get information on UCLA’s shared high-performance computing environment and provide feedback to the IDRE Research Technology Group on the future direction of the service. The meeting will include a quick overview of the Hoffman2 cluster, HPC storage, and...

The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular, the se workshop will focus on the one of the most commonly used modern methods, multiple imputation.  The workshop will cover multiple imputation using the multivariate normal...

This workshop will show how descriptive analyses, both numerical and graphical, can be done with continuous and categorical variables.  Subpopulation analysis will be discussed, and then examples of OLS regression and logistic regression will be considered.

    Speaker: Omar I. Asensio, Ph.D., IDRE Scholar Institute of the Environment & Sustainability, Anderson School of Management Ziman Center, UCLA Time:  12 p.m. to 1 p.m. (Lunch will be served*) Date: Feb 8, 2017 Location:  5628, Math Sciences Building Registration:   https://idre.ucla.edu/calendar-event/big-data-and-information-policies#rsvp‎   Abstract: Mobile apps and smart metering technologies can provide a wealth...

This workshop will introduce some fundamental topics in regression analysis using SPSS in three parts. The first part will begin with a brief overview of the SPSS environment, as well simple data exploration techniques to ensure accurate analysis using simple and multiple regression. The second part will introduce regression diagnostics such as checking for normality...

R is a powerful statistical package that runs on many platforms, including Windows, Macintosh and Unix. This class is designed for people who are just getting started using R. The students in the class will have a hands-on experience using R for statistics, graphics, and data management. The R class notes do not contain any...

This workshop introduces how to use the R ggplot2 package to produce publication-quality graphics, particularly for data analysis accompanying a planned regression model. First, the underlying grammar (system) of graphics is introduced with demonstrations. Then the usage of ggplot2 for exploratory graphs, model diagnostics, and presentation of model results is illustrated through 3 examples.