This book series aims at providing real hands-on learning of organic chemistry from the ground up by utilizing an innovative approach of using LEGO(R) baseplates and blocks to model and visualize various chemical structures and their reactivity. It uses 2x2 blocks for atoms, 1x1 blocks for electrons, and 2x1 blocks for bonds that naturally depict the octet rule. Baseplates also make structures closer to what we usually see in modern chemistry textbooks and papers. The first compound part teaches molecular formulas, valence, Lewis-Kekulé structures, tetrahedral carbon, structural and conformational isomers, the structure of benzene, stoichiometric reactions, proving structure through substitution reactions, and the principle of least structural change, the Wöhler synthesis, different ways to represent bonds and skeletal formulas.
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Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, and author. He is the founder of pattern-oriented software diagnostics, forensics and prognostics discipline, and Software Diagnostics Institute. Vostokov has also authored more than 50 books on software diagnostics, anomaly detection and analysis, software and memory forensics, root cause analysis and problem solving, memory dump analysis, debugging, software trace and log analysis, reverse engineering, and malware analysis. He has more than 25 years of experience in software architecture, design, development, and maintenance in a variety of industries including leadership, technical and people management roles. Dmitry also founded Syndromatix, Anolog.io, BriteTrace, DiaThings, Logtellect, OpenTask Iterative and Incremental Publishing, and Software Diagnostics Technology and Services (former Memory Dump Analysis Services) and Software Prognostics. In his spare time, he presents various topics on Debugging TV and explores Software Narratology, its further development as Narratology of Things and Diagnostics of Things (DoT), Software Pathology, and Quantum Software Diagnostics. His current areas of interest are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, artificial intelligence, machine learning and data mining to diagnostics and anomaly detection, software diagnostics engineering and diagnostics-driven development, diagnostics workflow and interaction. Recent interest areas also include cloud native computing, security, automation, functional programming, and applications of category theory to software development and big data.
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