Path Catalog
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Path Catalog
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This advanced learning path guides synthetic biology students through the integrative process of designing, constructing, characterizing, and applying biological systems. It covers foundational molecular biology, genetic circuit design, modeling, and real-world applications, emphasizing the engineering cycle and career-relevant skills.
A comprehensive learning path for synthetic biology and philosophy students to systematically understand and critically evaluate the ethical, social, and security implications of biotechnology. The path integrates foundational ethics, bioethics, and philosophy of science with applied topics in biosafety, biosecurity, and societal impact.
A comprehensive learning path for synthetic biology and medicine students to understand the medical aspects of biotechnology, covering molecular foundations, therapeutic modalities, diagnostics, and clinical translation. The path progresses from core biological principles to advanced clinical applications, emphasizing the integration of engineering and medical sciences.
This learning path equips synthetic biology and computer science students with the computational skills needed to model, design, and analyze biological systems. It covers programming fundamentals, algorithms for sequence analysis, mathematical modeling, and design automation tools, culminating in a project that integrates these concepts.
This advanced learning path equips synthetic biology and engineering students with a comprehensive understanding of the engineering aspects of biotechnology. It covers systems thinking, design principles, and manufacturing processes, emphasizing foundational concepts and their interconnections. The path progresses from fundamental biological engineering principles to advanced systems-level integration and scale-up.
This advanced graduate-level path equips learners with the knowledge to understand and design DNA-based data storage systems. It covers the encoding of digital data into DNA sequences, the biochemical processes for writing and reading DNA, and the practical applications and challenges of this emerging technology.
A comprehensive learning path for graduate students in synthetic biology and computer science, covering the integration of machine learning with synthetic biology for design automation, prediction, and optimization. It progresses from foundational concepts in both fields to advanced applications and emerging trends.
This graduate-level learning path systematically covers the synthesis of synthetic biology and space science, focusing on space biomanufacturing, life support, and applications. It builds from core biological and space environment fundamentals through advanced design and implementation strategies, preparing learners to engineer biological systems for space applications.
This advanced graduate-level path equips learners with the conceptual and practical knowledge to design and build synthetic multicellular systems that self-organize into desired patterns and tissue-like structures. It integrates core developmental biology principles with synthetic biology tools, covering pattern formation, cell-cell communication, organoids, and tissue engineering. Learners will progress from fundamental concepts to cutting-edge applications, culminating in a capstone project to design a synthetic morphogenetic system.
This graduate-level path systematically explores xenobiology, focusing on unnatural base pairs, genetic code expansion, and their biotechnological applications. It builds from molecular biology fundamentals through advanced engineering concepts, culminating in practical applications and ethical considerations.