Research suggests that a majority of students taking online college classes fail to succeed in those classes. While there is no simple formula for success, there are ways to improve your odds. Whether currently enrolled or only thinking about taking online college classes, you need the information provided in this book. An understanding of how best to prepare to be an online student, including understanding the realities behind the most common misconceptions about online learning is the key to unlocking the online classroom. All prospective online students need to understand very specific things before selecting an institution for their online education. Consider the following: * Are you prepared to become an online student? There are distinct differences between online and face-to-face college class expectations. Do you know what they are? We will discuss the importance of understanding, accepting and meeting online class expectations and how failure to do so will affect your grades. * Why is accreditation important and what does it mean for you? You will not only learn why it is important but how to determine whether an institution's accreditation is valid and meets your needs. * Common misconceptions associated with online learning can create problems for new online students. We will explore and discuss the ten most common myths about online learning and teach you to use them to your advantage. * What are the most typical communication problems faced by online students? You will learn how to recognize and resolve them before they happen. * Do you know the most common negative behaviors that lead to bad grades? Learn what they are and how to avoid them like the plague. * Learn to improve motivation, focus, time management, and study habits. * Learn the best way to approach an online instructor's boss if problems arise.
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Almost all physical systems are nonlinear and the success of linear control techniques depends on the extent of the nonlinear system behaviour and the careful attention given to switching linear controllers through the range of nonlinear system operations. In many industrial and process-control applications, good engineering practice, linear control systems and classical PID control can give satisfactory performance because the process nonlinearity is mild and the control system performance specification is not particularly demanding; however, there are other industrial system applications where the requirement for high-performance control can only be achieved if nonlinear control design techniques are used. Thus, in some industrial and technological domains there is a strong justification for more applications of nonlinear methods. One prevailing difficulty with nonlinear control methods is that they are not so easily understood nor are they easy to reduce to formulaic algorithms for routine application.
This book provides a compilation of mathematical-computational tools that are used to analyze experimental data. The techniques presented are those that have been most widely and successfully applied to the analysis of physiological systems, and address issues such as randomness, determinism, dimension, and nonlinearity. In addition to bringing together the most useful methods, sufficient mathematical background is provided to enable non-specialists to understand and apply the computational techniques. Thus, the material will be useful to life-science investigators on several levels, from physiologists to bioengineer.Initial chapters present background material on dynamic systems, statistics, and linear system analysis. Each computational technique is demonstrated with examples drawn from physiology, and several chapters present case studies from oculomotor control, neuroscience, cardiology, psychology, and epidemiology. Throughout the text, historical notes give a sense of the development of the field and provide a perspective on how the techniques were developed and where they might lead. The overall approach is based largely on the analysis of trajectories in the state space, with emphasis on time-delay reconstruction of state-space trajectories. The goal of the book is to enable readers to apply these methods to their own research.
Praise for the First Edition: <p> "This book is well conceived and well written. The author has succeeded in producing a text on nonlinear PDEs that is not only quite readable but also accessible to students from diverse backgrounds."<br> —SIAM Review <p> A practical introduction to nonlinear PDEs and their real-world applications <p> Now in a Second Edition, this popular book on nonlinear partial differential equations (PDEs) contains expanded coverage on the central topics of applied mathematics in an elementary, highly readable format and is accessible to students and researchers in the field of pure and applied mathematics. This book provides a new focus on the increasing use of mathematical applications in the life sciences, while also addressing key topics such as linear PDEs, first-order nonlinear PDEs, classical and weak solutions, shocks, hyperbolic systems, nonlinear diffusion, and elliptic equations. Unlike comparable books that typically only use formal proofs and theory to demonstrate results, An Introduction to Nonlinear Partial Differential Equations, Second Edition takes a more practical approach to nonlinear PDEs by emphasizing how the results are used, why they are important, and how they are applied to real problems. <p> The intertwining relationship between mathematics and physical phenomena is discovered using detailed examples of applications across various areas such as biology, combustion, traffic flow, heat transfer, fluid mechanics, quantum mechanics, and the chemical reactor theory. New features of the Second Edition also include: <ul> <li> <p> Additional intermediate-level exercises that facilitate the development of advanced problem-solving skills <li> <p> New applications in the biological sciences, including age-structure, pattern formation, and the propagation of diseases <li> <p> An expanded bibliography that facilitates further investigation into specialized topics </ul> <p> With individual, self-contained chapters and a broad scope of coverage that offers instructors the flexibility to design courses to meet specific objectives, An Introduction to Nonlinear Partial Differential Equations, Second Edition is an ideal text for applied mathematics courses at the upper-undergraduate and graduate levels. It also serves as a valuable resource for researchers and professionals in the fields of mathematics, biology, engineering, and physics who would like to further their knowledge of PDEs.
Web Mechanic Articles
Web Mechanic Books