ESPM 157
4 Units
Data Science in Global Change Ecology
Catalog Course Description
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
Fall Term
8 hours of Outside Work Hours per week and 4 hours of Instructional experiences requiring special laboratory equipment and facilities per week.