Semester:
Spring
Offered:
2025
E-PSCI/ESE 101 teaches climate change science from a quantitative perspective, so that students can understand the exact mechanisms behind changes often discussed in the news, as well as the mathematical or statistical methods used to analyze them. Many methods for analyzing climate data and simple climate modeling are covered, and the students will be involved in in-class climate data analysis during every lecture. Prerequisites: Basic calculus and ordinary differential equations, as covered for example by Math 1b, Math 19a, Math 21b. Basic programming experience is assumed (not necessarily in python). The course will introduce the students to various science subjects, but no prior college-level science knowledge is assumed.