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Introduction to Systems Biology: Workbook for Flipped-classroom Teaching - cover image


Thomas Sauter; Marco Albrecht;

Published On





  • English

Print Length

170 pages (viii+162)


Paperback216 x 12 x 280 mm(8.5" x 0.47" x 11.02")
Hardback216 x 16 x 280 mm(8.5" x 0.63" x 11.02")


Paperback552g (19.47oz)
Hardback828g (29.21oz)


  • GPS
  • GP
  • KJMV6
  • UNC
  • UNF
  • PS
  • MBF


  • COM021030
  • SCI043000
  • REF020000
  • SOC024000
  • SCI102000


  • systems biology
  • introduction
  • interdisciplinary framework
  • mathematical concepts
  • biological entities
  • physics concepts

Introduction to Systems Biology

Workbook for Flipped-classroom Teaching

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.


A clear, concise and easy-to-read textbook with plenty of examples, superb graphics and helpful links to youtube videos. A valuable resource for students and an excellent text for a future generation of interdisciplinary researchers in the area of biomedical sciences and network medicine.

Jan Rychtar

Virginia Commonwealth University, co-author of Game-theoretical Models in Biology



(pp. v–vi)
  • Marco Albrecht
  • Thomas Sauter


(pp. 1–14)
  • Marco Albrecht
  • Thomas Sauter
  • Marco Albrecht
  • Thomas Sauter
  • Marco Albrecht
  • Thomas Sauter
  • Marco Albrecht
  • Thomas Sauter
  • Thomas Sauter
  • Marco Albrecht


Thomas Sauter

Professor of Systems Biology at University of Luxembourg