Introduction to Systems Biology

Mount Sinai develops systems-level reasoning from molecules and pathways to networks and mathematical representations. Experimental technologies and network analysis support later discussions of model limitations and emergent properties. The course is useful for learners who want to connect biological parts rather than study each component in isolation.

What you will learn

• Relate molecules and pathways to biological networks.
• Compare mathematical representations of a biological system.
• Explain emergent behavior and the limits of a model.

Who this suits

Coursera labels the course mixed level. Detailed prerequisites are not specified; preview the cell biology, mathematics and modeling language.

Before you enroll

Treat this as an academic biology course. Check the expected scientific vocabulary and methods before enrolling; a conceptual or data exercise does not replace supervised laboratory training.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Draw a simple feedback network for a documented biological process. Explain how the behavior of the whole system differs from one isolated component.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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