Introduction to the Linux Shell Part 2: Shell Scripting
Shell scripts enable users to link together multiple Linux commands into a single executable program. They can save users from a lot of wasted time, effort, and headache. For example, ...
Find out more »Accessible and Inclusive Data Visualization for Research Publication
In this workshop the DCP will lead a training on how the design accessible data visualization for publication both into PDF and html in alignment with WCAG 2.1 AA guidance. ...
Find out more »Introduction to AI/ML/LLM for Humanities and Social Science
As artificial intelligence (AI), machine learning (ML), and Large Language Models (LLM) technologies continue to evolve, they offer new possibilities for humanities research, from large-scale text and image analysis to ...
Find out more »Running Large Language Models on Hoffman2
This workshop will cover running Large Language Models (LLMs) on the Hoffman2 HPC cluster using Ollama for inference and Open WebUI for an easy-to-use interface. Participants will learn how to ...
Find out more »Using UCLA Mobile Messaging Capabilities for Research
Are you doing research with surveys ( in RedCap or another survey tool) and paying an outside vendor to SMS links to your participants? Did you know that UCLA has ...
Find out more »Job scheduling on Hoffman2 cluster
In this workshop, participants will gain hands-on experience with the job scheduling system on the Hoffman2 cluster, the UCLA’s high-performance computing resource. Additionally, participants will learn how to write effective ...
Find out more »Learning Scikit-Learn
Machine learning has become a key element in science and technology today. Mastering libraries like scikit-learn–a vital tool for machine learning–is essential. In this workshop, you’ll receive a fundamental introduction ...
Find out more »Intro to Accessible Research
What is digital accessibility? How can the research enterprise be more prepared to be inclusive of people with disabilities. What should an IRB be evaluating in terms of digital accessibility? ...
Find out more »Binary Logistic Regression in Stata
The analysis of binary outcomes is widespread across scientific fields. This workshop introduces the basics of the most commonly used statistical model for binary outcomes, logistic regression. Some basic background ...
Find out more »High Performance Machine Learning Using Scikit-Learn
Machine learning is playing an increasingly important role in science and technology. In this advanced session, we focus on leveraging scikit-learn for high-performance machine learning. We will explore how to ...
Find out more »Learn Prompt Engineering and Retrieval Augmented Generation using Open Source LLMs
Are you interested in using LLMs for research? In this 90 minute hands-on workshop, you will learn how to install and deploy an open-source LLM on your local environment, create ...
Find out more »Using the SPSS Mixed Command
The purpose of this workshop is to show the use of the mixed command in SPSS. Although it has many uses, the mixed command is most commonly used for running ...
Find out more »Rapid AI Prototyping and Bootstrapping with Low and No-code Tools
Learn how to rapidly build a low cost AI prototype for research and education with custom GPTs, prompt engineering, and turn-key solutions from leading LLM providers. Register Now
Find out more »Practical Multi-GPU Computing
This workshop provides an introduction to using multiple GPUs for high-performance computing. Participants will explore essential techniques and tools, including CUDA with C++ and Python, PyTorch, and MPI, to optimize ...
Find out more »Introduction to power simulations in R
This workshop introduces power analysis and simulations to assess power and estimate sample sizes needed for sufficient power. We will begin with simple analyses such as the t-test and will ...
Find out more »Designing AI interfaces for Research Mobile Apps
This workshop explores designing AI interfaces for research mobile apps, focusing on enhancing user experience. Participants will learn how to leverage Retrieval Augmented Generation (RAG) architectures to achieve accurate performance ...
Find out more »Introduction to directed acyclic graphs (DAGs) for causal inference in R
Directed Acyclic Graphs (DAGs) have emerged as an important tool in causal modeling to understand the relationships among variables. DAGs can inform what variables should be included or excluded in ...
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