Introduction to Modern Systems Biology
SYSBIO 200
Subject & Catalog Number
Course Information
Description
In this introductory graduate-level course, students will develop tools and follow canonical examples of understanding biological systems. We will focus on using the language of mathematics to clarify the problems to be solved, and to approach their solution. We will use simple cases to start with, and then see how they play out in modern problems. We will cover emerging machine-learning methods to reverse-engineer dynamical systems, and connect stochastic biology to single cell analysis.
In this introductory graduate-level course, students will develop tools and follow canonical examples of understanding biological systems. We will focus on using the language of mathematics to clarify the problems to be solved, and to approach their solution. We will use simple cases to start with, and then see how they play out in modern problems. We will cover emerging machine-learning methods to reverse-engineer dynamical systems, and connect stochastic biology to single cell analysis
Course Notes
Students planning to take both quarter courses (SB303 and 304) must enroll in this as a half course on their study card as SysBio200 for now and in the future. Students who take one half of this quarter can NOT ever take the other half for credit.
Recommended Prep
Students who have no Python programming experience, or would like a refresher, are encouraged to take a Python programming workshop.
Available for Harvard Cross Registration
