Biology Courses

Learn how electricity makes the neurons in your brain tick.

Dive into the different FDA categories of biomarkers and discover how they are applied in drug development and patient care.

How can we eradicate malaria? Explore cutting-edge science and technology, and examine policies needed, to control and eliminate malaria.

Learn to use R programming to apply linear models to analyze data in life sciences.

Dive into the mechanisms of action and exciting applications of new FDA-approved genetic medicines.

Explore the ways in which CRISPR is disrupting sectors across the economy with Harvard VPAL.

This introduction to biochemistry explores the molecules of life, starting at simple building blocks and culminating in complex metabolism.

Discover what makes your brain tick in this third course in our introductory series in neuroscience.

Learn the anatomy basic to understanding five musculoskeletal injuries commonly seen in primary care medicine and orthopedic clinical specialty practice. Follow hypothetical patients from injury to operating room.

Learn about advances in interpreting biomedical signals and the use of machine learning and deep learning to aid in analysis and diagnosis.

Learn about the Earth, life, and how we can search for life elsewhere in the universe.

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

A human-centered approach to the fundamentals of cell biology with a focus on the power plants of the cell - mitochondria.

The culmination of the MicroBachelors® program.

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

An introduction to the study of bioethics and the application of legal and ethical reasoning.

Explore the roles that microbes play in the production, preservation, and enhancement of diverse foods in a variety of culinary traditions, and learn about the history of food fermentations.

The structure, annotation, normalization, and interpretation of genome scale assays.

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

Explore the foundational principles of artificial intelligence (AI) and its transformative applications in medicine and biomedical research.

Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.