Stanford Root

Schedule

Stanford Root

Schedule

BIOE 305

Dynamics and Feedback Control of Living Systems (ME 305)

UNITS:3
GRADING:Letter (ABCD/NP)
LEVEL:Graduate
GER:—

In this course, students will explore feedback control mechanisms that living organisms (cells) implement to execute their function. In addition, students will learn the basics of re-engineering feedback control systems in order for cells to execute new decision making behaviors. The focus will be on molecular level feedback control mechanisms for single cells with mention of cooperative feedback control for multicellular coordination as time permits. We will incorporate principles from Systems Biology, Control and Dynamical Systems Theory with Numerical and Stochastic Simulation. Basic biological mechanisms will be reviewed within the course to provide context and conceptual understanding. Ultimately, students with interest in control theoretic applications will learn how to use notions from control theory to accurately reason about cellular behavior.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

1 Term
Lecture 1Open
ID: 2120
0 / 10 enrolled
DAYS:Tuesday, Thursday
TIME:10:30 AM – 11:50 AM
LOCATION:McCullough 126
INSTRUCTOR:
Mayalu, Michaelle
3units

BIOE 305: Dynamics and Feedback Control of Living Systems (ME 305)

3 units · Letter (ABCD/NP)

In this course, students will explore feedback control mechanisms that living organisms (cells) implement to execute their function. In addition, students will learn the basics of re-engineering feedback control systems in order for cells to execute new decision making behaviors. The focus will be on molecular level feedback control mechanisms for single cells with mention of cooperative feedback control for multicellular coordination as time permits. We will incorporate principles from Systems Biology, Control and Dynamical Systems Theory with Numerical and Stochastic Simulation. Basic biological mechanisms will be reviewed within the course to provide context and conceptual understanding. Ultimately, students with interest in control theoretic applications will learn how to use notions from control theory to accurately reason about cellular behavior.

Offered in Autumn 2026 at Stanford University.

Autumn 2026 sections

  • Lecture — Tuesday Thursday 10:30 AM – 11:50 AM — McCullough 126 — Mayalu, Michaelle (Graduate)

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  • BIOE 301E: Computational Protein Modeling Laboratory
  • BIOE 301P: Research Data, Computation, & Visualization
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  • BIOE 313: Neuromorphics: Brains in Silicon (EE 207)
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  • BIOE 335: Molecular Motors I

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