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2 produkter
2 produkter
Häftad, Engelska, 2026
937 kr
Skickas inom 10-15 vardagar
Quantitative Biology provides quantitative and data-driven approaches for analyzing biological and bio-inspired systems, covering the foundations of mathematical modeling, analysis, and computation. The book presents a practical mix of both theory and computation for a variety of biological applications, with tied-in, engaging project activities, instruction, programming language, and technological tools. Modeling approaches combine mathematical foundations, statistical reasoning, and computational thinking, with applications in compartmental, agent-based, bio image, biological interaction, and neural network modeling, as well as machine learning, parameter identification, and applications across societal challenges.Each chapter includes exposure to models and modeling, a foundational instructional framework, benchmark applications, and numerical simulations with a literate programming guided style that helps readers go beyond replication models and into prediction and data-driven discovery. A companion website also features interactive code to accompany projects across each chapter.Introduces and demonstrates mathematical modeling, analysis, and computation for biological and bio-inspired systemsPresents and instructs in computation for a variety of biological applications via engaging project activities, benchmark examples, and technology toolsOffers insights into replicative models for biological systems, empowering prediction and data-driven discoveryIncludes a foundational instructional framework, benchmark applications, and numerical simulations with a literate programming guided style across all chaptersFeatures a companion webpage with interactive code to accompany chapter projects
E-bok
Engelska, 20261 048 kr
Läs direkt efter köp
Quantitative Biology provides quantitative and data-driven approaches for analyzing biological and bio-inspired systems, covering the foundations of mathematical modeling, analysis, and computation. The book presents a practical mix of both theory and computation for a variety of biological applications, with tied-in, engaging project activities, instruction, programming language, and technological tools. Modeling approaches combine mathematical foundations, statistical reasoning, and computational thinking, with applications in compartmental, agent-based, bio image, biological interaction, and neural network modeling, as well as machine learning, parameter identification, and applications across societal challenges.Each chapter includes exposure to models and modeling, a foundational instructional framework, benchmark applications, and numerical simulations with a literate programming guided style that helps readers go beyond replication models and into prediction and data-driven discovery. A companion website also features interactive code to accompany projects across each chapter. - Introduces and demonstrates mathematical modeling, analysis, and computation for biological and bio-inspired systems- Presents and instructs in computation for a variety of biological applications via engaging project activities, benchmark examples, and technology tools- Offers insights into replicative models for biological systems, empowering prediction and data-driven discovery- Includes a foundational instructional framework, benchmark applications, and numerical simulations with a literate programming guided style across all chapters- Features a companion webpage with interactive code to accompany chapter projects