Computational Discovery on Jupyter
Par šo e-grāmatu
Useful pedagogical features include using an active learning approach with topics not typically found in a standard math curriculum; introducing concepts using programming, not proof, with the goal of preparing readers for the need for proof; and accompanying all activities with a full discussion.
Computational Discovery on Jupyter is for upper-level high school and lower-level college students. Graduate students in mathematics will also find it of interest.
Par autoru
Neil J. Calkin is a professor in the School of Mathematical and Statistical Sciences at Clemson University. He cofounded the Electronic Journal of Combinatorics with Herbert S. Wilf in 1994.
Eunice Y. S. Chan is an assistant professor in the School of Medicine at The Chinese University of Hong Kong Shenzhen, China. She was a postdoctoral fellow at the Centre for Medical Evidence, Decision Integrity and Clinical Impact (MEDICI Centre), Department of Anesthesia and Perioperative Medicine, Schulich School of Medicine and Dentistry at Western University in London, Ontario.
Robert M. Corless is Emeritus Distinguished University Professor at Western University, a member of the Rotman Institute of Philosophy, former scientific director of The Ontario Research Center for Computer Algebra, and an adjunct professor at the Cheriton School of Computer Science, the University of Waterloo. He is the editor-in-chief of Maple Transactions.
