Elena Rivas
MCB 111 | Last offered Spring 2025
This course is meant for those looking to explore mathematical principles relevant to current biological research. The course covers topics on information theory, inference, statistics, probabilistic modeling, ML algorithms, statistical significance, neutral networks and more. All methods are covered from first principles but always using examples relevant to biological problems. Each unit is devoted to one specific topic, and is based in one or more scientific papers selected from the recent life science literature. Each unit includes a set of lectures (available online from mcb111.org), a practical session, and a homework.
Recommended Prep: Mathematics 19 or higher.