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Foundations of Analytical Chemistry: A Teaching-Learning Approach (Valcrcel Cases Miguel)(Pevná vazba)
Emerging Approaches in Synchrotron Studies of Materials from Cultural and Natural History Collections.- Non-invasive Investigations of Paintings by Portable Instrumentation: The MOLAB Experience.- Non-destructive Examination of Artistic Pigments, Paints and Paintings by Means of X-ray Methods.- New
Discover the principles and practices behind analytical chemistry as you study its applications in medicine, industry and the sciences with Skoog/West/Holler/Crouch's FUNDAMENTALS OF ANALYTICAL CHEMISTRY, 10th Edition. This award-winning author team presents the latest developments in analytical
&a>Experiential learning is a powerful and proven approach to teaching and learning that is based on one incontrovertible reality: people learn best through experience. Now, in this extensively updated book, David A. Kolb offers a systematic and up-to-date statement of the theory of experiential
Provides an in-depth account of emerging pollutants and their mitigation Describes analytical techniques and methods to analyse emerging pollutants in air, soil and water Examines physicochemical properties and toxicology of emerging
Provides an analytical approach to the subject of
Unleash powerful teaching and the science of learning in your classroom Powerful Teaching: Unleash the Science of Learning empowers educators to harness rigorous research on how students learn and unleash it in their classrooms. In this book, cognitive scientist Pooja K. Agarwal, Ph.D., and veteran
With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the
Rachel Ritterbusch's Practical Approaches to Teaching Film is a collection of essays focusing on the use of film in settings ranging from an introductory film class to an upper-division Women's Studies course. Drawing on their experience in the classroom, contributors to this anthology show how
Demonstrating that computer science learning and teaching processes can be fun, thought-provoking and stimulating, this unique textbook presents both a conceptual framework and detailed implementation guidelines for computer science (CS) teaching.This highly-anticipated new edition has been updated
This book presents an innovative unified approach to the statistical foundations of entropy and the fundamentals of equilibrium statistical mechanics. These intimately related subjects are often developed in a fragmented historical manner which obscures the essential simplicity of their logical
Vibrant Learning focuses on creating language-rich and literacy-based classrooms where discourse, explaining and justifying, is the norm in all of the content
An in-depth text that explores the interface between analytical chemistry and trace evidence Analytical Techniques in Forensic Science is a comprehensive guide written in accessible terms that examines the interface between analytical chemistry and trace evidence in forensic science. With
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in
Learn chemistry actively while studying assignments with INTRODUCTORY CHEMISTRY. The authors' question-and-answer format is reflected in three words of advice and encouragement that are repeated throughout the book: Learn It Now Each chapter includes an Everyday Chemistry section that illustrates
When the Scholarship of Teaching and Learning (SoTL) emerged, it often concentrated on individual faculty practice in one classroom; it is now, however, increasingly common to find work in SoTL focused more broadly. SoTL studies may engage with a cluster of courses, a program, a particular
Linear algebra and the foundations of deep learning, together at last From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This
The high quality of traditional bookbinding is renowned, and while apprenticeships are difficult to come by today, this step-by-step guide by expert hand-binders is the next best thing. Teaching you valuable beginning- and intermediate-level skills, using their trademark hands-on approach, the
The second edition of University Teaching in Focus distils the knowledge and insights of internationally acclaimed experts in university teaching. It empowers university teachers and contributes to their career success by developing their teaching skills, strategies and knowledge. Written in a
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools
This book lays out the foundations of quantum mechanics through the physics of intrinsic spin, and is written to serve as the primary textbook for an upper-division course in quantum
A freshly updated edition featuring research-based teaching techniques that faculty in any discipline can easily implement Research into how we learn can help facilitate better student learning--if we know how to apply it. Small Teaching fills the gap in higher education literature between the
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a