Using natural sensory system concepts to develop and improve sensory systems will …
Using natural sensory system concepts to develop and improve sensory systems will continue to thrive for many years to come. Technology advances rapidly (Moore’s Law) as does our understanding of biological principles and designs. These trends fuel the fertile grounds of bio-inspired sensory systems, a topic that is inherently multidisciplinary. This book will serve well as either an academic text on the subject or an introduction to the variety of proven bio-inspired designs. The focus is on sensory systems that interpret environmental stimuli. It introduces natural photo-, mechano-, and chemo-sensory systems across the animal kingdom and also summarizes various novel engineering ideas that glean ideas from these natural sensory systems.
Ready to find out how plants are grown and function? Take a …
Ready to find out how plants are grown and function? Take a fantastic voyage through plants. From Growing to Biology: Plants 1e brings the latest information for understanding of traditional and modern plant growing, form, and production. Topics covered in 30 chapters include concise and up-to-date ‘big picture’ infographics, student learning outcomes (SLOs), key vocabulary, assessment, as well as identification of 120 species, and more. Moreover, author Dr. G. Hacisalihoglu emphasizes on leaning concepts, binding those concepts together with visuals approach to make learning faster and more memorable.
From Growing to Biology: Plants 1e is packed full of horticultural information that is ideal for both academia and industry growers. It is basic enough that if you are just getting started learning plants, you will be able to catch up. Always remember that practice makes permanent and keep going to take your learning plant bio to new levels.
Introduction to Financial Mathematics: Concepts and Computational Methods serves as a primer …
Introduction to Financial Mathematics: Concepts and Computational Methods serves as a primer in financial mathematics with a focus on conceptual understanding of models and problem solving. It includes the mathematical background needed for risk management, such as probability theory, optimization, and the like. The goal of the book is to expose the reader to a wide range of basic problems, some of which emphasize analytic ability, some requiring programming techniques and others focusing on statistical data analysis. In addition, it covers some areas which are outside the scope of mainstream financial mathematics textbooks. For example, it presents marginal account setting by the CCP and systemic risk, and a brief overview of the model risk. Inline exercises and examples are included to help students prepare for exams on this book.
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