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October 2017
Free

Introduction to Stata

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October 2, 2017 @ 9:00 am - 12:00 pm
CLICC Classroom B, 3rd Floor Powell Library + Google Map

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 can be found at https://stats.idre.ucla.edu/stata/seminars/notes/ .

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Free

Introduction to SAS

October 9, 2017 @ 9:00 am - 12:00 pm
CLICC Classroom B, 3rd Floor Powell Library + Google Map

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 class notes can be found at https://stats.idre.ucla.edu/sas/seminars/notes/ .

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Free

Running Applications on Hoffman2 Cluster: An Introduction

October 10, 2017 @ 10:00 am - 12:00 pm

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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Free

Running Applications on Hoffman2 Cluster: Case Studies

October 12, 2017 @ 10:00 am - 12:00 pm
5628 Math Science Building,

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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Free

Introduction to SPSS

October 16, 2017 @ 9:00 am - 12:00 pm
CLICC Classroom B, 3rd Floor Powell Library + Google Map

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 class notes can be found at https://stats.idre.ucla.edu/spss/seminars/notes/ .

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Free

Introduction to MPI (Message Passing Interface)

October 16, 2017 @ 2:00 pm - 4:00 pm
5628 Math Science Building,

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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Free

Python for Scientific Computing

October 23, 2017 @ 2:00 pm - 4:00 pm
5628 Math Science Building,

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

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Free

Current and future requirements for Advanced Research Cyberinfrastructure – Panel Discussion

October 25, 2017 @ 11:45 am - 1:00 pm
5628 Math Science Building, UCLA,

The Institute for Digital Research and Education is pleased to announce a panel discussion on current and future requirements for Advanced Research Cyberinfrastructure (ARC). The discussion will be led by the following early career researchers from various disciplines across the UCLA campus. Bao Wang – Mathematics Alan Farahani – Cotsen Institute of Archaeology Karthik Sarma - Medical Imaging Informatics Richard Sportsman – Chemistry and Biochemistry Iris Chang – Material Science and Engineering Francesca Albrezzi – World Arts and Cultures Date:…

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Free

Computing Environment on Linux – I

October 26, 2017 @ 2:00 pm - 4:00 pm
5628 Math Science Building, UCLA,

Part-I session of Computing Environment on Linux class is aimed to help researchers who are new to the 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 Linux system and use it to do the normal tasks after going through this session.

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Free

Computing Environment on Linux – II

October 31, 2017 @ 2:00 pm - 4:00 pm
5628 Math Science Building, UCLA,

  The second session is regarding the use of 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 which are available under most Linux environments.

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November 2017
Free

National Leadership Class Computing Resources and Opportunities for UCLA Researchers

November 1, 2017 @ 2:00 pm - 3:00 pm
5628 Math Science Building, UCLA,

The Department of Energy, National Science Foundation, and the National Aeronautical Space Agency support an ecosystem of “leadership class” computing facilities housing some of the world’s most advanced supercomputers and high-end visualization and data analysis resources. These facilities provide “free” computing cycles at scale and storage to researchers from academia. Access to these resources is obtained through an application process that is based on the merit of the research objectives, and demonstration of the efficacy and parallel scalability of the…

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