Exploring Linear Algebra: Labs and Projects with Mathematica ®

Author:   Crista Arangala (Elon University, North Carolina, USA)
Publisher:   Taylor & Francis Ltd
Edition:   2nd edition
ISBN:  

9781032942315


Pages:   152
Publication Date:   26 February 2025
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Exploring Linear Algebra: Labs and Projects with Mathematica ®


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Author:   Crista Arangala (Elon University, North Carolina, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Edition:   2nd edition
Weight:   0.300kg
ISBN:  

9781032942315


ISBN 10:   1032942312
Pages:   152
Publication Date:   26 February 2025
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Dr. Crista Arangala is Professor of Mathematics and Chair of the Department of Mathematics and Statistics at Elon University in North Carolina. She has been teaching and researching in a variety of fields, including inverse problems, applied partial differential equations, applied linear algebra, mathematical modeling, and service learning education. She runs a traveling science museum with her Elon University students in Kerala, India. Dr. Arangala was chosen to be a Fulbright Scholar in 2014 as a visiting lecturer at the University of Colombo where she continued her projects in inquiry learning in Linear Algebra and began working with a modeling team focusing on Dengue fever research. Dr. Arangala has published several textbooks that implore inquiry learning techniques, including Exploring Linear Algebra: Labs and Projects with MATLAB®, Mathematical Modeling: Branching Beyond Calculus, and Linear Algebra with Machine Learning and Data.

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