Foundations of Anthropological Inquiry
Participant observation, field notes, interviewing, and the ethics of studying human worlds where they happen.
Course Catalog
Stella Nova courses are built to be porous. A student in anthropology may need genetics, geography, and computation; a physicist may need ethics, communication, and visualization. Browse the developing course catalog below. Course publication does not by itself indicate program authorization or accreditation.
Participant observation, field notes, interviewing, and the ethics of studying human worlds where they happen.
How social life organizes across physical, digital, and hybrid space — and what happens to ritual and identity when those spaces blend.
Methods for studying online communities, mediated ritual, and platform cultures as living field sites.
Cartographic literacy, coordinate systems, and how spatial questions are framed and answered.
Hands-on GIS: data models, remote sensing, drone survey, and analysis for fieldwork and research.
Human–environment systems, migration pathways, and reading landscapes as evidence.
Institutions, inequality, media, and social change through observation and evidence.
How information, influence, and belonging move through social and digital networks.
Cognition, perception, and behavior, with attention to how claims about the mind are tested.
Attention, salience, and consciousness research, including disciplined study of altered states.
Core biology with an emphasis on hypothesis, controls, measurement, and honest reporting.
Transect design, biodiversity survey, and ecological documentation in real landscapes.
Foundations of genetics and the careful, ethical interpretation of molecular and ancestry data.
Reading genetic signals from the deep past alongside climate and archaeological evidence.
Classical foundations with a working emphasis on measurement, uncertainty, and modeling.
How frontier and speculative models are structured, staged, and separated from validated claims.
Programming foundations oriented toward data, simulation, and research instruments.
Structuring, querying, and visualizing research data; building durable, shareable datasets.
Applied AI and simulation as research tools, with attention to evidence, limits, and ethics.
Writing, presenting, and translating research for real audiences and institutional voice.
Producing media packages, exhibits, and documentation that carry research into the world.
Ready to begin?
Tell us which courses and departments interest you, and we will help you map a pathway.