Springer Improving Applied Mathematics Education: 7 (SEMA SIMAI Springer Series, 7)

This book presents various contemporary topics in applied mathematics education and addresses both interested undergraduate instructors and STEM education researchers. The diverse set of topics of this edited volume range from analyzing the demographics of the United States mathematics community, discussing the teaching of calculus using modern tools, engaging students to use applied mathematics to learn about and solve problems of global significance, developing a general education course for humanities and social sciences students that features applications of mathematics, and describing local mathematical modeling competitions and their use in providing authentic experiences for students in applying mathematics to real world situations. The authors represent diversity along multiple dimensions of difference: race, gender, institutional affiliation, and professional experience. From the Back Cover This book presents various contemporary topics in applied mathematics education and addresses both interested undergraduate instructors and STEM education researchers. The diverse set of topics of this edited volume range from analyzing the demographics of the United States mathematics community, discussing the teaching of calculus using modern tools, engaging students to use applied mathematics to learn about and solve problems of global significance, developing a general education course for humanities and social sciences students that features applications of mathematics, and describing local mathematical modeling competitions and their use in providing authentic experiences for students in applying mathematics to real world situations. The authors represent diversity along multiple dimensions of difference: race, gender, institutional affiliation, and professional experience. About the Author Ron Buckmire is Professor of Mathematics at Occidental College in Los Angeles. He holds Bachelor's, Master's and Doctorate degrees in Mathematics from Rensselaer Polytechnic Institute. He served for over four years as a Program Director in the Division of Undergraduate Education at the U.S. National Science Foundation. He has published peer-reviewed work in a wide variety of research areas such as numerical analysis, mathematical modelling, machine learning, and mathematics education. Jessica  M. Libertini received her Ph.D. in Applied Mathematics from Brown University. She has held faculty positions at the U.S. Military Academy at West Point, University of Rhode Island, and Virginia Military Institute. In addition to her academic positions, she spent nearly a decade as an engineer and analyst with General Dynamics, and she served as a Science & Technology Policy Fellow in the Office of the Secretary of Defense. Her current work is largely in interdisciplinary education and curricular development