Events

Wednesday, January 29, 2020 - 2:00pm to 4:00pm
at IDRE Portal - 5628 Math Sciences, UCLA

This short class will illustrate several powerful tools and features that can enhance one’s experience with Jupyter notebooks. The interactive demonstrations will include a brief overview of how to make interactive widgets for interactive visualizations and dashboards, how to generate analysis pipelines and reports, and how to link notebooks with online tools such as GitHub and Binder to share an interactive notebook with collaborators or the general public.

If you have any further questions regarding the workshop, please contact Ben Winjum.

 


Thursday, February 13, 2020 - 11:00am to 12:00pm
at Zoom - https://ucla.zoom.us/my/travisdcp

People who are blind, low-vision or have dyslexia rely on assistive technologies and screenreading software to “read text out loud” to them. However, many documents and websites created are completely inaccessible or just frustrating for screenreader users. Learn accessible design and content management tools to make it easier for people with disabilities to engage with your website content and documents.


Tuesday, February 18, 2020 - 1:00pm to 4:00pm
at IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza Los Angeles, CA 90095

Description coming soon

If you have questions or comments regarding this event, contact Statistical Consulting Group. 

NOTE: This event is only available in-person at UCLA. There will not be online access to this event. Please only register for the event if you are able to attend in-person.


Wednesday, February 19, 2020 - 11:00am to 12:00pm
at IDRE Portal - 5628 Math Sciences, UCLA

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well.

In the first session of the series, we will give general introduction about machine learning, neural network and PyTorch. No specific prerequisite is required.

If you have any further questions regarding the workshop, please contact Qiyang Hu.

 


Thursday, February 20, 2020 - 9:00am to 12:00pm
at IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza Los Angeles, CA 90095

Description coming soon

If you have questions or comments regarding this event, contact Statistical Consulting Group

NOTE: This event is only available in-person at UCLA. There will not be online access to this event. Please only register for the event if you are able to attend in-person.


Thursday, February 20, 2020 - 11:00am to 12:00pm
at Zoom Link: https://ucla.zoom.us/my/travisdcp

In this live hour-long webinar the UCLA Disabilities and Computing Program will introduce the basics of accessibility testing. The ability to identify accessibility errors is the first step in making your content accessible.  This class will focus on HTML accessibility and Document accessibility testing.

Learning Outcomes

By the end of this training you should be able to:

  • Describe the importance of accessibility testing
  • Tab test a website
  • Turn on VO or NVDA
  • Download and run the Wave plug in for accessibility testing
  • Interpret the results from the Wave Plug in
  • Run the Word Document accessibility checker
  • Run the PDF accessibility checker

Thursday, February 20, 2020 - 1:00pm to 3:00pm
at IDRE Portal - 5628 Math Sciences, UCLA

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

If you have questions or comments regarding this workshop, please contact the instructor Raffaella D’Auria.


Friday, February 21, 2020 - 11:00am to 12:00pm
at IDRE Portal - 5628 Math Sciences, UCLA

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well.

In the second session of the series, we will look into the procedures of working on a general deep learning project, especially on how to train a deep neural network. The knowledge of topics covered in the first session is assumed. Basic knowledge of Calculus and Linear Algebra will be helpful to understand the details.

If you have any further questions regarding the workshop, please contact Qiyang Hu.


Monday, February 24, 2020 - 1:00pm to 4:00pm
at IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza Los Angeles, CA 90095

Description coming soon

If you have questions or comments regarding this event, contact Statistical Consulting Group

NOTE: This event is only available in-person at UCLA. There will not be online access to this event. Please only register for the event if you are able to attend in-person.


Wednesday, February 26, 2020 - 11:00am to 12:00pm

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well.

In the third session of the series, we will illustrate the basic usage of PyTorch and how to make deep learning project using PyTorch.

The knowledge of topics covered in the first and second session about machine/deep learning is assumed. Working experience of Python, Jupyter Notebooks will be helpful to follow the demos.

If you have any further questions regarding the workshop, please contact Qiyang Hu.

 


Wednesday, February 26, 2020 - 2:00pm to 4:00pm
at IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza Los Angeles, CA 90095

We will discuss how to effectively run jobs on Hoffman2 cluster which serves a wide spectrum of user applications and is almost always heavily loaded. We will first review the model and policy of Hoffman2’s job scheduling, followed by fundamentals of using its job scheduler, Univa Grid Engine. A number of common use cases will be discussed in details, including: (1) Single-CPU jobs, (2) Multi-CPU, same-node jobs, (3) Multiple-node (MPI-style) jobs, (4) Job arrays and (5) High-priority jobs.

If you have questions regarding the workshop, please contact the instructor Shao-Ching Huang.


Thursday, February 27, 2020 - 9:00am to 12:00pm
at IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza Los Angeles, CA 90095

If you have questions or comments regarding this event, contact Statistical Consulting Group.

NOTE: This event is only available in-person at UCLA. There will not be online access to this event. Please only register for the event if you are able to attend in-person.


Thursday, February 27, 2020 - 1:00pm to 3:00pm
at IDRE Portal - 5628 Math Sciences, UCLA

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.

If you have questions regarding the workshop, please contact the instructor Raffaella D’Auria


Friday, February 28, 2020 - 11:00am to 12:00pm
at IDRE Portal - 5628 Math Sciences, UCLA

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well.

In the fourth session of the series, we will introduce convolutional neural network and learning how to use PyTorch to do image processing for classic Dogs-vs-Cats problem. The knowledge of topics covered in the previous sessions is assumed. Working experience of Python, Jupyter Notebooks and linear algebra will be helpful.

If you have any further questions regarding the workshop, please contact Qiyang Hu.


Wednesday, March 4, 2020 - 11:00am to 12:00pm
at Zoom Link: https://ucla.zoom.us/my/travisdcp

People who are blind, low-vision or have dyslexia rely on assistive technologies and screenreading software to “read text out loud” to them. However, many documents and websites created are completely inaccessible or just frustrating for screenreader users. Learn accessible design and content management tools to make it easier for people with disabilities to engage with your website content and documents.


Wednesday, March 4, 2020 - 11:00am to 12:00pm
at IDRE Portal - 5628 Math Sciences, UCLA

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well.

In the fifth session of the series, we will introduce transfer learning technology to use pre-trained models in PyTorch to get a better solution for deep learning projects. The knowledge of topics covered in the previous sessions is assumed. Working experience of Python, Jupyter Notebooks and linear algebra will be helpful.

If you have any further questions regarding the workshop, please contact Qiyang Hu.

 


Wednesday, March 18, 2020 - 11:00am to 12:00pm
at Zoom Link: https://ucla.zoom.us/my/travisdcp

In this live hour-long webinar the UCLA Disabilities and Computing Program will introduce the basics of accessibility testing. The ability to identify accessibility errors is the first step in making your content accessible.  This class will focus on HTML accessibility and Document accessibility testing.

Learning Outcomes

By the end of this training you should be able to:

  • Describe the importance of accessibility testing
  • Tab test a website
  • Turn on VO or NVDA
  • Download and run the Wave plug in for accessibility testing
  • Interpret the results from the Wave Plug in
  • Run the Word Document accessibility checker
  • Run the PDF accessibility checker

Thursday, April 9, 2020 - 8:00am to 1:30pm
at

This theme of this event is "Workforce of the Future" and it is only open to Innovate@UCLA members and invited guests.

UCLA students, staff, and faculty are invited to come to the event.