5 courses with the subject MATE, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MATE 510Data Science in Education3
Lecture Hours: 3 Lab Hours: 0 Data Science in Education has emerged over the past decade as an interdisciplinary field encompassing Learning (e.g. educational technology, learning and assessment sciences), Analytics (e.g. visualization, computer/data sciences), and Human-Centered Design (e.g. usability, participatory design). This course will provide students with an overview of the field, examples of its use in educational contexts, and applied experience with tools and techniques for analyzing new sources of data from new perspectives. Student will be required to learn a programing language to build their skill in experience in the collection, analysis, and 251
Lecture Hours: 3 Lab Hours: 0 This course is designed to prepare researchers and teachers to apply network analysis to better understand and improve student learning and the contexts in which learning occurs. This course will provide students with an overview of social network theory, examples of network analysis in educational contexts, and applied experience with widely adopted data science tools and techniques. The course will prepare individuals to be better at data collection, analysis, and reporting of data throughout the course and as a result be better prepared to help educational organizations understand and improve both online and blended learning environments. Students will extensively use data from social media networks.
Lecture Hours: 3 Lab Hours: 0 An in-depth view of numbers and operations that undergird students' conceptual understanding of the historical foundations of numbers, number systems, and algorithms. Research with an emphasis on the demonstration of best practices and creative strategies to support student learning regarding the conceptual understanding of numbers and operations and common misconceptions will be explored.
Lecture Hours: 3 Lab Hours: 0 An in-depth view of algebraic concepts that undergird students' conceptual understanding of algebraic thinking. Research with an emphasis on the demonstration of best practices and creative strategies to support student learning regarding algebraic thinking will be explored.
Lecture Hours: 3 Lab Hours: 0 An in-depth view of geometric concepts that undergird students' conceptual understanding of geometric thinking such as the Van Hiele Model. Research with an emphasis on the demonstration of best practices and creative strategies to support student learning regarding geometric thinking will be explored. 252
