Get the semester off to a successful start! Check out the Library events calendar and register now for any of the Library’s workshops being offered through November 15. Let expert instructors take you from the basics through the latest technology, from finding resources on the Library’s website to virtual reality. Whether you’re a beginner or a seasoned researcher, the Library has the information you need to make research extraordinary. Check the list of topics below.
- Literature Reviews in the Humanities: joining the Scholarly Conversation—Learn how literature reviews can give valuable context and depth to your research. Other literature review workshops will cover reviews in Science & Engineering and the Social Sciences.
- Find Plans and Drawings for Architecture & Landscape—Discover a variety of ways to get the content you need, online and in print.
- Is *Science* Bad for Science: Intro to Critiques of Scholarly Publishing—Find out how you can encourage open access to research in the sciences and how to discourage paywalls.
- Research: Foundations for Success—For new researchers! Learn how to navigate the Library’s website.
- Organizing Your Research with Zotero—Learn an open source tool that will help capture, organize, search, and share your research materials.
- VR Workshops—Add dimension to research. Look into Library workshops on 1) Creating Virtual Museums; 2) Photogrammetry; 3) Augmented Reality; Painting, Modeling and Graffiti; and 4) Storyboarding, Animation & Puppetry.
- Creating Imagination: A First Look at the Visual Effects Industry—An overview of the state of Visual Effects (VFX) will provide an abundance of tools and resources.
- Planning a Capstone Project—For students who have a thesis or “capstone” requirement in their degree program. Get recommendations for resources and find out how to plan research.
- Introduction to EndNote—Discover how to manage your citations with EndNote.
- Best Database For You—In this 15 minute workshop you can get source recommendations and find the subject librarian who can best help with your project.
- UVaCollab for Research Collaborations I–II—Part I: creating a basic Research site in UVACollab. Part II: selecting the appropriate options, adding participants, creating and linking several sub-sites.
- Author’s Rights: Use the Law, Share Your Work, Change the World—Learn about your basic rights under copyright law and about the future of sharing scholarship.
- Getting Started with Content Analysis—Learn methods of analyzing the content of textual sources, interviews, and images.
- Introduction to Git/GitHub—Manage web development with the version control software GitHub.
- Introduction to LaTeX & Overleaf—Learn a typesetting program that can integrate mathematical formulae, tables and bibliographies into documents.
- Advanced Data Wrangling with R I–III—Part I guides you through binding, merging and reshaping data. Part II covers working with dates, times and strings. Part III covers programming and automating functions.
- Getting Started with Bayesian Data Analysis in R—Learn the fundamentals of Bayesian statistics while comparing and contrasting them to traditional statistical methods.
- Text Analysis with R I–III—Part I covers inputting source texts and structuring metadata, and generating descriptive statistics. Part II covers co-occurrence, clustering, and topic models, and Part III covers classification using dictionaries and statistical models.
- Qualitative Data Analysis—Learn techniques and software that can help you make use of your data.
- Introduction to QGIS—Introduction to the widely used open source Geographic Information Systems program.
- Unix: Introduction to the Command Line—Introduction to the command line interface and Unix shell commands.
- Funding Discovery Tools—Learn to identify opportunities from public and private funders.
- Data & Excel: A Love Story—Learn to use Excel for cleaning, analyzing, and visualizing data.
- Introduction to Dedoose—Discover an affordable, feature-rich, easy-to-use web app that helps you visualize and share your work with the research community.
- Census Basics—Learn how to effectively incorporate census data in your research.
- Principles of Data Visualization and Tableau I–II—Part I: learn basic principles of data visualization. Part II: use Tableau to make dynamic and interactive visualizations.
- Introduction to Python—Install, set up, and use Python for Interpreted coding. Focus is on built-in data types.