Description This textbook is rich with real-life data sets, uses RStudio to streamline computations, builds "big picture" conceptual understandings, and applies them in diverse settings.
He has published several research articles in the field of. degree in mathematics from Asbury College in 2004.
A. degrees in mathematics from the University of Kentucky in 2009 and 2006 respectively, and his B.
A. and M.
D.
He received his Ph.
In 2017 he was named the Elizabeth Molloy Dowling Associate Professor of Mathematics.
Kilty joined the faculty of Centre College, a US News Top 50 Liberal Arts College, as an Assistant Professor of Mathematics in 2009, receiving tenure and promotion to the rank of Associate Professor in 2015.
Stodghill Professor of Mathematics, Centre College, Kentucky Joel M. and Adele H.
Stodghill Jr.
W.
About the Author Joel Kilty, Associate Professor of Mathematics, Centre College, Kentucky, Alex Mc Allister, H.
This text provides a fresh take on these ideas that is ideal for the modern student.
Additionally, multivariable functions are interspersed throughout the text, presented alongside their single-variable counterparts.
Topics that are not traditionally taught in a one-semester Calculus course, such as dimensional analysis and the method of least squares, are woven together with the ideas of Mathematical Modeling and the ideas of Calculus to provide a rich experience and a large toolbox of Mathematical techniques for future studies.
Mathematical Modeling and Applied Calculus provides a modern outline of the ideas of Calculus and is aimed at those who do not intend to enter the traditional Calculus sequence.
This textbook provides an excellent introduction to the process of Mathematical modeling, the method of least squares, and both differential and integral calculus, perfectly meeting the needs of today\'s students.
Mathematical Modeling and Applied Calculus will develop the insights and skills needed to describe and model many different aspects of our world.
Description This textbook is rich with real-life data sets, uses RStudio to streamline computations, builds "big picture" conceptual understandings, and applies them in diverse settings
