Masks are required inside all library buildings. Food is not allowed. Library access is not currently available for alumni or visitors. Patrons will not be allowed to sign into the building without a physical GWorld card or enter the library if their GWorld card tap is denied.
41 events at GW Libraries.
This workshop will introduce participants to programming by using Python to focus on the basic concepts that all programming languages build upon.
Learn about creating assignments, submitting assignments as a student, and grading assignments.
Explore ways to enhance the student experience outside of the traditional classroom through Blackboard Discussion Boards.
In this workshop we’ll talk about basic tenets of accessibility and usability, and walk through tools and tricks to better organize Blackboard.
Participants will gain an understanding of features such as text and voice chat, PowerPoint slideshow delivery, and desktop sharing.
Learn how to manage the Blackboard grade center and calculate grades.
This workshop will introduce participants to basic R tasks such as reading data into R, analyzing data, and plotting data.
Learn how to create a Blackboard Test and set it up for students.
Learn how to create a rubric, associate it to a graded activity, and effortlessly grade using an interactive rubric in Blackboard.
Learn more about VoiceThread, a web-based application that allows users to share and have conversations around media.
In this workshop you will learn how to take a static website built in HTML and CSS and add dynamic interactions.
Learn how the digital accessibility tool, Blackboard Ally, can help ensure your digital course content meets GW accessibility guidelines and provides individuals with disabilities equal access.
Explore the creation and management of student blogs and private journals as well as group wikis in Blackboard.
This workshop will cover the basic features of TurningPoint, including creating questions, conducting polling, saving results, and exporting grades to Blackboard.
Participants will be introduced to the spacy Python library and basic methods of quantitative textual analysis.