2020 Fall
ESPM 157 001 - LAB 001
Data Science in Global Change Ecology
Carl Boettiger, Melissa Chapman
Aug 26, 2020 - Dec 11, 2020
Mo, We
10:00 am - 11:59 am
Internet/Online
Class #:27267
Units: 4
Instruction Mode:
Remote Instruction
Time Conflict Enrollment Allowed
Offered through
Environmental Science, Policy, and Management
Current Enrollment
Total Open Seats:
0
Enrolled:
Waitlisted:
Capacity:
Waitlist Max:
No Reserved Seats
Hours & Workload
8 hours of outside work hours per week, and 4 hours of instructional experiences requiring special laboratory equipment and facilities per week.
Other classes by Carl Boettiger
Course Catalog 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
Class Notes
All sessions remote, attendance required
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials
Associated Sections
None