Academics
Areas of Study

Overview

TL2 will take the lead in ensuring and promoting quality and risk assessment for products from VL2 and the community- protecting the integrity, reliability, and accuracy of science and languages used in products.

By doing this, Signwise, a quality assurance resource center, was created. With the committee made of individuals from the community, school grades K-12, parents, and professionals from Gallaudet University, the categories and rubrics were formed.

A website will be set up. This site will feature reviews of products and resources for young children from infant to school age. It will help parents find the right products for their children.

Our committee reviews a wide range of products including apps, DVDs/videos, e-books, printed books, and websites. These products mostly feature sign language designed for children from birth to age 8 and their families.

We also accept requests to do reviews. Finally, Signwise© helps provide support for developers to produce high-quality products. Requests for consultation and review services will be offered.

Courses

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.

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.

Contact Us

TL2: Signwise for Kids

Dr. Laura-Ann Petitto

SLCC S242

(202) 651-5085

Monday
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Saturday
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