<p>As the role of the modern engineer is markedly different from that of even a decade ago, the theme of engineering mathematics educaΒ tion (EME) is an important one. The need for mathematical modelΒ ling (MM) courses and consideration of the educational impact of computer-based technology environm
mathematical models for the education sector
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<span><p>Nanotechnology, biotechnology, information technology, and cognitive sciences are contributing to the emergence of intelligent computers and robots with elements of artificial intelligence and intelligent machines. This book postulates that these developments are accelerating the technologi
<p><p></p><p>While there are many areas of focus in mathematics education, there are many good reasons for offering <i>applicable</i><i>mathematics education </i>in schools. Let us just mention two of the most important reasons. On the one hand, a focus on the practical side of mathematics presents
<P>Proposing a wide range of mathematical models that are currently used in life sciences may be regarded as a challenge, and that is precisely the challenge that this book takes up. Of course this panoramic study does not claim to offer a detailed and exhaustive view of the many interactions betwee
Provides a wide range of mathematical models currently used in the life sciences Each model is thoroughly explained and illustrated by example Includes three appendices to allow for independent reading
This textbook provides a general overview of realistic mathematical models in life sciences, considering both deterministic and stochastic models and covering dynamical systems, game theory, stochastic processes, and statistical methods. Each mathematical model is explained and illustrated individua