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July 2020
Version Control with Git
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. Register in advance: Please REGISTER using the…
Find out more »Introduction to GIS/Spatial Research with Python
Register in advance: Please REGISTER using the Zoom Meeting Link before joining! There are no pre-requisites to take this workshops, but it is recommended that you take the following two workshops: Introduction to Jupyter Version control with git As members of an academic community with a myriad of research initiatives, the need to map information, to spatially analyze, to geoprocess, and to visualize space and time is becoming ubiquitous. But how do you get started? The answer to this…
Find out more »Introduction to SQL
SQL is a standard language designed to query and extract data from tables stored in a database. In this short class, you will learn how to store, query, and manipulate data with SQL, and you will gain exposure to the fundamentals of SQL and relational database management systems. Register in advance: Please REGISTER using the Zoom Meeting Link before joining! If you have questions regarding the workshop, please contact Ben Winjum.
Find out more »August 2020
Multiple Imputation in Stata
The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular, we will focus on the one of the most popular methods, multiple imputation and how to perform it in Stata. The Stata code for this seminar is developed using Stata 15. Attendance is restricted to researchers from the University of California. The information for the Zoom meeting will be sent the day…
Find out more »Introduction to GIS for the Social Sciences
Description coming soon. If you have any further questions regarding the workshop, please contact instructor Albert Kochaphum.
Find out more »Deep Learning in Medicine
Recent years have witnessed a dramatic resurgence of interest in applying deep learning in various research and application areas. In this 2 hour session, we will present a broad and high-level overview on what deep-learning technologies can do for the domains of medicine and healthcare. Our discussion will focus on the three major application fields: medical imaging analysis, natural language processing and deep reinforcement learning. In each field, we will first sort out a big hierarchical picture by taking a…
Find out more »Interpreting and Graphing Interactions in Stata
In regression, we are often interested in an interaction, which is the modification of the effect of an independent variable by another. Interactions can be decomposed and probed in three ways, by 1) testing each effect against zero, 2) testing differences between effects, and 3) plotting. This seminar will demonstrate how to do all three analyses in Stata for the following linear models with interactions: continuous-by-continuous, categorical-by-continuous, and categorical-by-categorical. Recommended: Prior knowledge of linear regression and a computer with Stata…
Find out more »Introduction to Three Dimensional Graphing and WebVR
Description coming soon. If you have any further questions regarding the workshop, please contact instructor Francesca Albrezzi.
Find out more »Running Applications on the Hoffman2 Cluster – Intro
Description coming soon. If you have any further questions regarding the workshop, please contact instructor Raffaella D'Auria.
Find out more »Essential Command Line Tools in the HPC Environment
On macOS, Linux, or Windows with Cygwin, or other POSIX-compliant environments, a number of versatile, time-tested command-line open-source tools with text-based user interface (TUI) are available to support performing common tasks that arise in advanced computation or data analysis. Unlike their graphical user interface (GUI) counterparts, which appear to be prevalent in today's computing environments, these command-line tools can achieve (almost) infinite flexibility, efficiency, and reproducibility if used properly. For example, when connecting with a remote server (e.g. a computing…
Find out more »Introduction to Survey Data Analysis in R
This workshop will show how descriptive analyses, both numerical and graphical, can be done with continuous and categorical variables. Subpopulation analysis will be discussed, and then examples of OLS regression and logistic regression will be considered. Attendance is restricted to researchers from the University of California. The information for the Zoom meeting will be sent the day before the workshop. The notes for the workshop are will be posted soon. If you have any further questions regarding the workshop, please…
Find out more »Introduction to Data Science with Python Part 1
The term "data science" has become a ubiquitous and all-encompassing term to address any field that utilizes data analytics in one form or another. Despite having such a broad mandate, certain elements remain consistent in the approach to data science that are interdisciplinary: data acquisition, data exploration, data modeling, and data communication. In this two-part workshop series, we introduce data science approaches that are fundamental regardless of your discipline. Part 1 will focus on how to get, clean, structure, and…
Find out more »Introduction to Data Science with Python Part 2
The term "data science" has become a ubiquitous and all-encompassing term to address any field that utilizes data analytics in one form or another. Despite having such a broad mandate, certain elements remain consistent in the approach to data science that are interdisciplinary: data acquisition, data exploration, data modeling, and data communication. In this two-part workshop series, we introduce data science approaches that are fundamental regardless of your discipline. Part 1 will focus on how to get, clean, structure, and…
Find out more »Running Applications on the Hoffman2 Cluster – Case Studies
Description coming soon. If you have any further questions regarding the workshop, please contact instructor Raffaella D’Auria.
Find out more »Managing Python and R Packages Using Conda on Hoffman2 Cluster
Anaconda is a popular, free, and open-source distribution of Python and R packages for scientific computing and data analysis. Many users prefer using Anaconda on the personal computer instead of manually installing individual packages not only for convenience but also for taking advantage of Anaconda's ability to resolve version conflicts and package dependencies. On the Hoffman2 cluster, however, the environment is structurally different from that of a personal computer; there are other best practices to be considered. For example, while…
Find out more »Rebel Mapping: Critical Cartography
Description coming soon. If you have any further questions regarding the workshop, please contact instructors Albert Kochaphum and Mariah Tso.
Find out more »An In-Depth Introduction to Google Colab — Discovering how to use free CPU/GPU for coding and teaching
As Jupyter Notebook is becoming more and more popular for data scientists, researchers and software engineers, many people may have already heard about Google Colab. As one of the most famous cloud services for machine learning, Colab features FREE access to GPU and TPU computing. But do you know you can use Colab for various scripting languages beyond Python (like R, Julia or Javascript)? Do you realize that Colab can actually provide a democratized and parallel-programming environment of teaching for…
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