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October 2021
Introduction to Stata
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 are the scripts for the class available to the students in the class and to others on the Internet. The Stata class notes do not contain any of the…
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 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. If you have questions regarding the workshop, please contact Ben Winjum. Registration required: https://ucla.zoom.us/meeting/register/tJEld-6qqD0oH9Zk7otQ0pP3ZnM3eUE_4dJV
Find out more »November 2021
Introduction to SAS
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 SAS class notes do not contain any of the computer output. The class notes are not meant to be a SAS textbook or a reference manual. However, it is possible for individuals to…
Find out more »Job Scheduling on Hoffman2 Cluster
This talk is about the practice of effectively running jobs on the Hoffman2 cluster. We will first review the model and policy of Hoffman2’s job scheduling, followed by how to use the job scheduler (software), 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 (on research groups' purchased nodes).
Find out more »Using SQL with Python for Data Analysis
SQL is a standard language designed to query and extract data from tables stored in a database. Python, on the other hand, has well-known libraries specially designed for data analysis and manipulation. This course will introduce attendees to the basics of how to integrate SQL and relational database management systems with Python for data analysis. Basic experience with SQL and Python will be useful. If you have questions regarding the workshop, please contact Ben Winjum. Registration required: https://ucla.zoom.us/meeting/register/tJYtdeysrjsvG9dgQw4kD2tUSm1VACQ8H4nD
Find out more »Deep Learning, the Good, the Bad and the Ugly
This workshop is a remake for the general introduction about deep learning in our previous "Learning Deep Learning with PyTorch" workshop series. In this talk, we will talk about the deep learning and neural network from a different perspective. After a very brief introduction on what machine learning and deep learning are, our discussion will be focused on what deep learning technology can (and cannot) bring to the academic research, including both the benefits and the challenges. No specific prerequisite knowledge is required.
Find out more »RESEARCH PUBLISHING AND REPRODUCIBILITY BROWN BAG
Online Webinar (Registration Required) Click to register DGIT and the UCLA Library have come together to discuss reproducibility, data management and publishing strategies for biomedical researchers. Methods and protocols reporting is critical to ensuring reproducibility and facilitating collaboration in research. Join us for a discussion on the important considerations and strategies for managing research methods and protocols. Learn about tools provided by the UCLA library that can be used to support the management and sharing of research protocols. This session was…
Find out more »Introduction to SPSS
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 SPSS class notes do not contain any of the computer output. The class notes are not meant to be an SPSS textbook or…
Find out more »Learning Deep Learning Mechanics
This workshop is a descriptive introduction without Python or intensive math on what is deep learning and how to train a deep neural network. Our discussion will be arranged along a general procedure of working on a general deep learning project. Basic knowledge of calculus and linear algebra will be helpful to understand the details. Register link: https://ucla.zoom.us/meeting/register/tJEodeqoqTgvE9K335pG-MxnJtlTy7VQhvfz
Find out more »Learning PyTorch
The topic of this workshop session is PyTorch. We will give a general introduction on this popular deep learning framework, with practical illustrations on the basic usage of tensors and automatic differentiation, and on solving a simple temerature-conversion problem using PyTorch. The knowledge of topics covered in the previous session about machine/deep learning is assumed. Working experience of Python, Jupyter Notebooks will be helpful to follow the demos. Registration Link: https://ucla.zoom.us/meeting/register/tJwtf-CprzkvGNTkt_bZgImNtP1fl9XrfsNc
Find out more »Common Data formats: How to Access Them Programmatically
Storing data in an open-standard format ensures the data’s long-term readability and reusability, which is an important component of achieving reproducible computing. In this class we will explore a number of common data formats, learn about their structures and show how to access them programmatically. The data formats considered include: CSV (several variants), JSON, XML, Excel and HDF5. The Python and Julia languages will be used in the programming examples.
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