STEM 100 Quantitative Thinking, Data, and AI in Healthcare

This course introduces interdisciplinary thinking in science, mathematics, and statistics through a semester-long healthcare biomarker project. Students reinforce quantitative reasoning, observational study design, data interpretation, visualization, and scientific communication skills. The course also emphasizes responsible use of artificial intelligence tools for literature review, data analysis, and scientific communication.

Credits

2

Prerequisite

MATH 100, MATH 101 or passing of the math competency exam AND CHEM 113 or BIOL 113 or CS 112 or MATH 120 or PSYC 101. PSYC 101 can be already completed or taken concurrently.