Embedded Files
March 1 - Computational Thinking - Highlighting the importance of computational and data science in the classroom. Presented by Dr. Katharine Cahill, New Jersey Institute of Technology. Computational Thinking
March 8 - Data Visualization for Computational & Data Science - Introducing a framework for guiding the novice visualizer through the development of insightful and informative visual representations of data. Presented by Dr. Vetria Byrd, Purdue University. Data Visualization
April 12 - Introduction to Modeling and Simulation - Infusing Fundamental Competencies of Computational Science to the General Undergraduate Curriculum. Presented by Dr. Ana C Gonzalez, University of Puerto Rico at Mayaguez, retired. Modeling and Simulation
May 10 - Introducing Matrix Methods for Data Science and Machine Learning - Advanced linear algebra topics necessary for organizing information, analyzing large data, exploring machine learning techniques to build models and solve problems. Presented by Dr. Ahlam Tannouri, Morgan State University. Matrix Methods for DS/ML
May 17 - Science Gateways as a Classroom Resource for Computational and Data Analytics Tools - Using SEAGRID for Computational Chemistry and Molecular Modeling Courses. Presented by Dr. Dina Tandabany Clark Atlanta University. Using SEAGRID for Computational Chemistry and Molecular Modeling Courses
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