Gallaudet University
Who We Are
Our Work
Overview
News & Stories
May 25, 2023
May 18, 2023
Upcoming Events
June 24, 2023
June 29, 2023
August 20, 2023
University Wide Events
No Communication Compromises
Areas of Study
Schools
Programs
Changing the world
Research
Community & Innovation
Research Experiences & Services
Our Global Presence
Global at Home
Global Learning For All
Global Engagement
Your Journey Starts Here
Study
Learn
Undergraduate Support
Information
Tools and Resources
Explore Our Campus
Connect
Discover
Influence
Jun 7, 2023
Jun 6, 2023
Quick Links
Support
Faculty and Staff
FAQs
Contact
GU
/
Visual Language and Visual ...
Early Education and Literac...
EL2: ASL assessment toolkit
Email Us
Since its start, VL2 has made an ongoing effort to develop and confirm American Sign Language (ASL) skills measures, especially those suitable for tracking and monitoring the development of ASL skills among young children.
The researchers at VL2 have also been working to adapt and change many neurocognitive measures with ASL translations and methods for both children and adults. The ultimate goal is to build a “one-stop shop” ASL assessment portal that will provide access to the tools themselves and an online means for test administration.
The course introduces students to ArcGIS Online, an online Geographic Information System (GIS) application from Esri. With GIS, the student can explore, visualize, and analyze data; create 2D maps and 3D scenes with several layers of data to visualize multiple data sets at once; and share work to an online portal. GIS analytics tools are used in many disciplines and fields of practice including public health, history, sociology, political science, business, biology, international development, and information technology. In the end of the course, students will have the opportunity to take additional training on GIS applications in their specific field of interest.
This course is an introductory class that aims to show the students the main problems and methods of data science with a minimal mathematical background. The course covers basic data science concepts and algorithms with an emphasis in real-life applications and gaining a broad understanding of the area.
Ever wondered how companies like Amazon know more about you? Ever wondered how weather data is represented in the news? Using interdisciplinary concepts, we will learn how to tackle big data. Complex data sets are being generated continuously. Many questions arise as to what these data are telling us. Are we missing something? How do we look for signals in these large datasets? Using computer programs like Excel and R programming we will learn how to manage, sort and represent these data. Students will be encouraged to identify a data set related to a real world problem and use the tools learned in class to tell their stories.
Modern day biology has generated massive amounts of data but very few experts to analyze this data. A course in Genomics and Bioinformatics will teach students how to use computer algorithms to analyze the data. Students learn applications of genomics to biomedical and biological research by performing computational exercises using databases. Topics include genome sequencing gene prediction, genetic variation, sequence database searching, multiple sequence alignment, evolutionary tree construction, protein structure prediction, proteomic analysis, interaction networks and use of genome browsers among other topics.
Special topics in the discipline, designed primarily for seniors who are majors or minors. Students may enroll in 495 Special Topics multiple times, as long as the topics differ.