Dennis Davenport

Dennis Davenport received his Ph.D. from Howard University and then joined the faculty at Miami University in Oxford, Ohio. At Miami University, Davenport developed the Summer Undergraduate Mathematical Science Research Institute (SUMSRI), an undergraduate research program that targets advanced mathematical science majors from underrepresented groups and women. He collaborated with several faculty members at Miami University to start the Mathematical Enrichment Program (MEP), which is modeled after Professor Uri Treisman's calculus workshop project. In addition, he directed the Miami University program of the Ohio Science and Engineering Alliance (OSEA). OSEA is part of the NSF Louis Stokes Alliance for Minority Participation (LSAMP) program, which is designed to increase the number of members from underrepresented groups in mathematics, engineering, and the sciences. Davenport served as a Visiting Scientist at NSF from 2000 - 2002 and again from 2009 to 2011. In 2004 he served as a Visiting Professor at the United States Military Academy (USMA). In the years since, he has returned to his alma mater as a faculty member in the Department of Mathematics, and held the positions of Graduate Director and Associate Chair, while also serving as the Chair of the American Mathematical Society's (AMS) Policy Committee on Equity, Diversity, and Inclusion. Since 2018 he has directed an REU program for Howard University students. It combines summer learning and research with an academic year component where the students continue working on their research projects.

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Fundamental Linear Algebra Concepts with Python (Coursera) Coursera
Howard University

Fundamental Linear Algebra Concepts with Python (Coursera)

Discover the fundamentals of linear algebra with this comprehensive online course. Learn to solve complex problems using Python, mastering techniques such as finding inverses, matrix algebra, and linear transformations. Perfect for beginners and professionals alike, this course will equip you with essential skills in linear algebra through engaging exercises and practical applications.

Jun 22nd 2026
4 Weeks
Introduction to Linear Algebra and Python (Coursera) Coursera
Howard University

Introduction to Linear Algebra and Python (Coursera)

Embark on a journey into the world of linear algebra with our introductory course, designed specifically for beginners. Learn essential concepts and apply them through Python programming to solve real-world problems. Ideal for students, data science enthusiasts, and business professionals aiming to leverage data science principles effectively.

Jun 22nd 2026
4 Weeks
Building Regression Models with Linear Algebra (Coursera) Coursera
Howard University

Building Regression Models with Linear Algebra (Coursera)

Embark on a journey into the world of regression models with this insightful course. From understanding different types of regression to applying the Method of Least Squares manually and programmatically using Python, you'll gain a deep understanding of how linear regression can be used to identify patterns in scenarios. Start building your predictive modeling skills today!

Jun 22nd 2026
4 Weeks
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