ESPM 157 Data Science in Global Change Ecology 4 Units
Terms offered: Fall 2024, Fall 2023, Fall 2022
Many of the greatest challenges we face today come from understanding and interacting with the natural world: from global climate change to the sudden collapse of fisheries and forests, from the spread of disease and invasive species to the unknown wealth of medical, cultural, and technological value we derive from nature. Advances in satellites and micro-sensors, computation, informatics and the Internet have made available unprecedented amounts of data about the natural world, and with it, new challenges of sifting, processing and synthesizing large and diverse sources of information. In this course, students will learn and apply fundamental computing, statistics and modeling concepts to a series of real-world ecological and environment
Data Science in Global Change Ecology: Read More [+]
Rules & Requirements
Prerequisites: No prior knowledge is assumed or expected, though prior exposure to programming, particularly from the Foundations of Data Science (COMPSCI C8 / INFO C8 / STAT C8), will be helpful
Hours & Format
Fall and/or spring: 15 weeks - 4 hours of laboratory per week
Additional Details
Subject/Course Level: Environ Sci, Policy, and Management/Undergraduate
Grading/Final exam status: Letter grade. Alternative to final exam.
Instructor: Boettiger