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Results from the Implementation of Wright State Model for Engineering Mathematics at University of Detroit Mercy

Conference Session
Mathematics Division Technical Session 3: Diversity in Mathematics Education
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Shuvra Das, University of Detroit Mercy; Kirstie A. Plantenberg, University of Detroit Mercy
Tagged Topics
Diversity
Tagged Divisions
Mathematics
only those topics from the entire Calculuscurriculum that are actually used in early engineering courses. Passing this course allows studentsto continue into freshmen and sophomore level engineering classes while they are still continuingto finish the traditional sequence of Calculus courses. This course was recently added to theengineering curriculum at University of Detroit Mercy’s (Detroit Mercy) engineering program.This paper discusses the course content and the experience of teaching it to the engineeringstudents, along with its impact on retention and student success. Specifically, data from the initialofferings is used to discuss the impact of this course on the students’ ability to handle engineeringscience courses without having
Relevance Score: 0.017004086

Mathematics Content of an Undergraduate Course on Deep Learning

Conference Session
Mathematics Division Technical Session 2: Poster Presentations
Collection
2020 ASEE Virtual Annual Conference Content Access
Authors
Yosi Shibberu, Rose-Hulman Institute of Technology
Tagged Topics
Diversity
Tagged Divisions
Mathematics
teaching an undergraduate course in deep learning in a mathematicsdepartment. Also presented are data that suggest that weak programming skills may not be assignificant an obstacle for STEM majors as the author originally feared.IntroductionDeep learning—sometime referred to colloquially as AI—is at the center of a wave of innovationthat is changing the way consumers interact with products. It is being used to solve challengingtechnical problems such as autonomous driving in unstructured environments or enabling robotsto grasp arbitrary objects. Deep learning is a special type of machine learning that automates thegeneration of useful data features. An introduction to deep learning for mathematicians isprovided by Higham et at 1 .Deep learning is
Relevance Score: 0.011907561