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February 2023

Automation with Make and Makefiles

February 9, 2023 @ 9:00 am - 11:00 am
Zoom

Make is a tool that can be used to automate the process of building programs, libraries, plots, and even papers. Make keeps track of the dependencies between files during this process, and if any file changes, Make knows how to update the built object to account for the updates. This can be a valuable tool for software development, where source code files can be frequently updated and recompiled into programs and libraries, and it can also be valuable more generally…

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Cornerstone 5: Writing a Literature Review Workshop

February 9, 2023 @ 4:00 pm - 4:50 pm
Hybrid: Charles E. Young Research Library Main Conference Room (room 11360 ) and Zoom

Writing a literature review can seem like a daunting task. Attend this interactive workshop to learn strategies for writing a literature review! This workshop is free and open to all undergraduates. This workshop is offered as part of the Cornerstone Research Workshops, a six-part series covering foundational research topics and skills created by URC-HASS, the UCLA Library, and the Undergraduate Writing Center. Join meeting here: https://bit.ly/urcworkshop

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Version Control with Git and GitHub

February 16, 2023 @ 9:00 am - 11:00 am
Zoom

Git is a software tool that helps users manage changes to their software over time, and GitHub is a web-based platform for using Git and version control. They will allow you to maintain a complete change history of your files, 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 and GitHub to track changes, explore history, and use web-based Git repositories to…

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Cornerstone 6: Developing a Research Plan

February 16, 2023 @ 4:00 pm - 4:50 pm
Hybrid: Charles E. Young Research Library Main Conference Room (room 11360 ) and Zoom

Streamline your research plan and learn how to organize your drafts, resources, and time when writing a research assignment. This workshop is free and open to all undergraduates. This workshop is offered as part of the Cornerstone Research Workshops, a six-part series covering foundational research topics and skills created by URC-HASS, the UCLA Library, and the Undergraduate Writing Center. Join meeting here: https://bit.ly/urcworkshop

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Learning Convolutional Neural Networks (1)

February 17, 2023 @ 10:00 am - 12:00 pm
Zoom

This workshop will provide an introduction to convolutional neural networks (CNNs). We will begin by using PyTorch to perform image processing on the classic Dogs-vs-Cats problem. Basic knowledge of the topics covered in previous sessions is assumed. Having working experience with Python, Jupyter Notebooks, and linear algebra will be helpful for fully participating in the workshop. Any questions about this workshop can be emailed to Qiyang Hu at huqy@oarc.ucla.edu. Presented by the Office of Advanced Research Computing (OARC). Register here: https://ucla.zoom.us/meeting/register/tJwqdO6gqzMqE9Tow2G8OoEaPtGrPoDXypK4

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Code Profilers: Measuring Performance and Resource Usage

February 23, 2023 @ 1:00 pm - 3:00 pm
Zoom

Learn to use code profilers (software) to analyze a program's performance and resource usage, and to use the measurement data to guide tuning methodologies and workflows, in the context of scientific computing. Any questions about this workshop can be emailed to Shao-Ching Huang at sch@ucla.edu.  Presented by the Office of Advanced Research Computing (OARC). Register here: https://ucla.zoom.us/meeting/register/tJIodumoqD0tG9cM27ylElmFbQzauFoBLpRL

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Learning Convolutional Neural Networks (2)

February 24, 2023 @ 10:00 am - 12:00 pm
Zoom

This workshop will be the second lecture in our introduction to convolutional neural networks (CNNs). We will continue our learning by applying data augmentation and transfer learning techniques to improve our solution for the classic Dogs-vs-Cats problem using PyTorch. A basic understanding of the topics covered in previous sessions is assumed. Having working experience with Python, Jupyter Notebooks, and linear algebra will be helpful for fully participating in the workshop. Any questions about this workshop can be emailed to Qiyang Hu at huqy@oarc.ucla.edu.…

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March 2023

Research and Creative Proposal Workshop

March 1, 2023 @ 4:00 pm - 5:00 pm
Zoom

Learn how to write a research or creative proposal for scholarship program applications! Applications for the Undergraduate Research Fellows Program (URFP) and the Mellon Mays Undergraduate Fellowship (MMUF) are due by November 15. Join meeting here: https://bit.ly/urcworkshop

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Learning Generative Adversarial Networks

March 3, 2023 @ 10:00 am - 12:00 pm
Zoom

This workshop will introduce participants to Generative Adversarial Networks (GANs). We will demonstrate the core techniques of GANs, including how to use Deep Convolutional GANs (DCGANs) to generate images using PyTorch. A basic understanding of the topics covered in previous sessions is assumed. Having working experience with Python, Jupyter Notebooks, and linear algebra will be helpful for fully participating in the workshop. Any questions about this workshop can be emailed to Qiyang Hu at huqy@oarc.ucla.edu. Presented by the Office of Advanced Research Computing…

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Missing Data in R

March 6, 2023 @ 1:00 pm - 4:00 pm
Zoom

The purpose of this seminar is to discuss techniques and introduce some useful packages in R for handling missing data. In particular, we will focus on multiple imputation and how to perform it using the R package, mice: “Multivariate Imputation by Chained Equations”. As prerequisite to this seminar, we suggest participants have basic knowledge in R and if they do not have prior training in R, a seminar providing an introduction R can be found here: https://stats.idre.ucla.edu/r/seminars/intro/. Any questions about…

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Decomposing and Visualizing Interactions in R

March 13, 2023 @ 1:00 pm - 4:00 pm
Zoom

In regression, we are often interested in an interaction, which is the modification or moderation of the effect of an independent variable by another. Understanding interactions involves interpreting the regression coefficients, estimating and testing simple effects and their differences, and visualizing the interaction. This workshop will teach you how to do all of these thing in R using base R, as well as the emmeans and ggplot2 packages. Some prior knowledge of linear regression and experience with R is recommended…

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