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September 2018

University Stats Camp: Multilevel Structural Equation Modeling with xxM Seminar

September 17, 2018 @ 9:00 am - September 19, 2018 @ 5:00 pm
5308B Math Sciences Building, UCLA

A comprehensive 3-day Stats Camp seminar on Multilevel SEM with xxM. This seminar teaches skills necessary to conduct analysis of complex multilevel data-structures from an nLevel Structural Equation Modeling perspective. Conventional multilevel modeling and multilevel-structural equation modeling work well with ‘standard’ multilevel data. The n-Level structural equation modeling (NL-SEM) framework is intended for both conventional and non-standard data-structures. Non-standard data are indeed very common across multiple domains but rarely analyzed in a satisfactory manner.   Instructor, Paras Mehta, Ph.D. 9:00am -…

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University Stats Camp: Longitudinal Structural Equation Modeling (SEM) Seminar

September 17, 2018 @ 9:00 am - September 19, 2018 @ 5:00 pm
IDRE Portal (5628 Math Sciences Building, UCLA)

A comprehensive 3-day Stats Camp seminar on Longitudinal SEM. This camp is an intensive seminar consisting of lectures, discussions and one-on-one consultations to provide participants with advanced training in SEM for the analysis of longitudinal data. Topics include: Design and measurement issues in cross-sectional and longitudinal research Traditional panel designs Overview of missing data Latent growth curve modeling Testing for Mediation and Moderation Multilevel and multiple group SEM Using Phantom Constructs Multiple group modeling   Instructor, Todd Little, Ph.D. &…

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Google Machine Learning Crash Course

September 18, 2018 @ 10:00 am - 11:00 am
3909 Math Sciences Building, UCLA

This is a recurring weekly event from Tuesday, Sept. 4th - Tuesday, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash…

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Google Machine Learning Crash Course

September 25, 2018 @ 10:00 am - 11:00 am
3909 Math Sciences Building, UCLA

This is a recurring weekly event from Tuesday, Sept. 4th - Tuesday, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash…

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October 2018

Running Applications on the Hoffman2 Cluster: Introduction

October 1, 2018 @ 2:00 pm - 4:00 pm
IDRE Portal (5628 Math Sciences Building, UCLA)
Free 40 spots left

The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of porting your own applications on the cluster or using applications already available on the cluster. It also addresses how to port your workflow to the Hoffman2 and how to submit batch and run interactive applications.

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Introduction to Stata

October 2, 2018 @ 9:00 am - 12:00 pm
CLICC Classroom C (320 Powell Library)
Free 54 spots left

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 notes are the scripts for the class available to the students in the class and to others on the Internet. The Stata class notes do not contain any of the…

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Google Machine Learning Crash Course

October 2, 2018 @ 10:00 am - 11:00 am
3909 Math Sciences Building, UCLA

This is a recurring weekly event from Tuesday, Sept. 4th - Tuesday, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. For the past several weeks we have presented data frames in Python, R and Julia. Now that we are all familiar with Python Pandas data frame, we will start applying our knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash…

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Introduction to GIS: Got Data? Map it!

October 3, 2018 @ 1:00 pm - 3:00 pm
YRL: West Classroom (Room 23167, UCLA Young Research Library)

RSVP FOR THE EVENT It is said that more than 80% of all data has a spatial component to it. As more and more research is leaning towards spatial analysis, this course offers an introduction to Geographic Information Systems, GIS, as a means to spatialize and analyze your data. As a hands-on course, you will learn how to download data, manipulate and join data to existing geographic boundaries, and create stunning cartographic representations. There are no pre-requisite requirements to take…

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Running Applications on the Hoffman2 Cluster: Case Studies

October 8, 2018 @ 2:00 pm - 4:00 pm
IDRE Portal (5628 Math Sciences Building, UCLA)
Free 40 spots left

This class will address the process of creating Matlab standalone executables and running Matlab in batch, as well as running Abaqus python scripts. Example of how to submit array jobs using Abaqus, R and other applications. Can my simulations be submitted as array jobs? Bring your own problem. Also, Jupyter Notebooks: another way to run python and R on Hoffman2.

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Introduction to SAS

October 9, 2018 @ 9:00 am - 12:00 pm
CLICC Classroom C (320 Powell Library)
Free 58 spots left

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 do not contain any of the computer output. The class notes are not meant to be a SAS textbook or a reference manual. The notes for the workshop can be…

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Introducing Python for Data Science and the Internet of Things

October 10, 2018 @ 1:00 pm - 3:00 pm
YRL: West Classroom (Room 23167, UCLA Young Research Library)

RSVP FOR THE EVENT This entry-level workshop will introduce Python as a tool for digital researchers and scholars wanting to incorporate data on the web. The following Python libraries will be covered: requests, lxml, pandas, and numpy.

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SAS Macro Language 1: Essentials

October 15, 2018 - October 16, 2018
IDRE Portal (5628 Math Sciences Building, UCLA)

2-Day workshop, 9:00am - 5:00pm daily This course focuses on the components of the SAS macro facility and how to design, write, and debug macro systems. Emphasis is placed on understanding how programs with macro code are processed. Learn how to perform text substitution in SAS code, automate and customize the production of SAS code, conditionally or iteratively construct SAS code and use macro variables and macro functions. This course can help prepare you for the following certification exams: SAS Advanced Programming for…

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SAS SQL 1: Essentials

October 17, 2018 - October 18, 2018
IDRE Portal (5628 Math Sciences Building, UCLA)

2-Day Workshop, 9am - 5pm Daily This course teaches you how to process SAS data using Structured Query Language (SQL). Learn how to query and subset data, summarize and present data, combine tables, including complex joins and merges, create and modify table views and indexes, replace multiple DATA and PROC steps with one SQL query. This course can help prepare you for the following certification exam(s): SAS Advanced Programming for SAS 9. Before attending this class, you should be able to: Submit SAS programs…

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Introduction to Science Gateway

October 19, 2018 @ 10:00 am - 12:00 pm
IDRE Portal (5628 Math Sciences Building, UCLA)
Free 40 spots left

"Science Gateway" refers to a web or mobile-based applications with user-friendly interfaces enabling access to advanced technology resources to support scientific research and/or education. This 2-hour session aims to provide fundamental information about Science Gateway technologies. Three covered topics include: What Science Gateways really refer to and what Science Gateways can provide to researchers and educators. The efforts from UCLA IDRE for implementing a Science Gateway. The visions and planning of UCLA Science Gateway provided from IDRE. No prerequisites, but…

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Python for High Performance Computing

October 19, 2018 @ 2:00 pm - 4:00 pm
IDRE Portal (5628 Math Sciences Building, UCLA)
Free 40 spots left

Python, originally developed as a general-purpose programming language, has gained its popularity in the scientific community in recent years owing to its elegant and easy-to-understand syntax and powerful libraries. Python fully supports both functional and object-oriented programming styles. This class will discuss a number useful features of Python in the context of scientific computing, and introduce a number of supporting packages, including numpy for fast array-based computations, h5py to access HDF5 files, and the use of Python in MPI-style parallel…

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Introduction to Message Passing Interface (MPI)

October 22, 2018 @ 2:00 pm - 4:00 pm
IDRE Portal (5628 Math Sciences Building, UCLA)
Free 40 spots left

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 know how MPI works in order to operate an existing MPI code. Working knowledge of C and Fortran programming languages will be very helpful to…

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Introduction to R

October 23, 2018 @ 9:00 am - 12:00 pm
CLICC Classroom C (320 Powell Library)
Free 53 spots left

R is statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use R. The students in the class will have a hands-on experience using R for doing statistics, graphics, and data management. The class notes are the scripts for the class. The R class notes do not contain any of the computer output. The class notes are not meant to be an R textbook or a reference manual.…

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Introduction to Jupyter

October 25, 2018 @ 10:00 am - 12:00 pm
IDRE Portal (5628 Math Sciences Building, UCLA)
Free 40 spots left

The Jupyter Notebook is a computing tool that allows users to edit and run Python, R, Julia (and many other programming languages) inside a web browser. Furthermore, it is a powerful tool that allows users to combine live code, text, and visualizations in an interactive, shareable, reproducible document. It has been growing in popularity in many scientific and research disciplines as a data exploration and analysis tool that encourages collaboration and reproducible science. This class will provide an interactive demonstration…

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Version Control with Git

October 26, 2018 @ 10:00 am - 12:00 pm
IDRE Portal (5628 Math Sciences Building, UCLA)
Free 40 spots left

Git is a software tool that helps users manage changes to their software over time. Git will allow you to maintain a complete change history of every file, create branches for concurrent streams of changes, trace changes with annotations, and collaborate and share work with others. This interactive introduction will demonstrate how to use Git to track changes, to explore history, and to use web-based Git repositories to share work with others and collaborate.

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Introduction to SPSS

October 30, 2018 @ 9:00 am - 12:00 pm
CLICC Classroom C (320 Powell Library)
Free 58 spots left

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 are the scripts for the class. The SPSS class notes do not contain any of the computer output. The class notes are not meant to be an SPSS textbook or…

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