Reference : Introduction to Systems Biology - Workbook for Flipped-classroom Teaching

	Document type :	Books : Book published as author, translator, etc.
	Discipline(s) :	Life sciences : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/54712

Title :	Introduction to Systems Biology - Workbook for Flipped-classroom Teaching
Language :	English
Author, co-author :	Sauter, Thomas [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM) >]
	Albrecht, Marco []
Publication date :	2023
Publisher :	OpenBookPublishers
Number of pages :	170
City :	Cambridge
Country :	UK
Keywords :	[en] systems biology ; introduction ; interdisciplinary framework
Abstract :	[en] This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, metabolic modeling and system dynamics. Their pedagogic approach briefly highlights core ideas of concepts in a broader interdisciplinary framework to guide a more effective deep dive thereafter. The learning journey starts with the purity of mathematical concepts, reveals its power to connect biological entities in structure and time, and finally introduces physics concepts to tightly align abstraction with reality. This workbook is all about self-paced learning, supports the flipped-classroom concept, and kick-starts with scientific evidence on studying. Each chapter comes with links to external YouTube videos, learning checklists, and Integrated real-world examples to gain confidence in thinking across scientific perspectives. The result is an integrated approach that opens a line of communication between theory and application, enabling readers to actively learn as they read. This overview of capturing and analyzing the behavior of biological systems will interest adherers of systems biology and network analysis, as well as related fields such as bioinformatics, biology, cybernetics, and data science.
Target :	Researchers ; Students
Permalink :	http://hdl.handle.net/10993/54712
DOI :	10.11647/obp.0291
Other URL :	https://www.openbookpublishers.com/books/10.11647/obp.0291

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