Data in Earth Science
Data in Earth Science In this course students will learn the fundamental tenets and tools of data science to interpret, evaluate, and anticipate geologic events that operate on planetary surfaces. A modular course structure will allow students to collect, interrogate, and visualize earth science data with a variety of computational tools, such as Excel, Geographic Information Systems, and R Studio. Regular assignments will provide opportunities for students to compare data with conceptual or theoretical models of geologic processes, and a final project will ask students to apply the computational skills learned in class to scientific inquiry in Earth science. Students will also learn to recognize the difference between researcher- vs.- computationally-led science, and that powerful tools can facilitate good science, but they cannot replace critical thinking. This course will use R programming. No prior GIS or R experience is necessary.
Data in Earth Science In this course students will learn the fundamental tenets and tools of data science to interpret, evaluate, and anticipate geologic events that operate on planetary surfaces. A modular course structure will allow students to collect, interrogate, and visualize earth science data with a variety of computational tools, such as Excel, Geographic Information Systems, and R Studio. Regular assignments will provide opportunities for students to compare data with conceptual or theoretical models of geologic processes, and a final project will ask students to apply the computatio …Read more
I believe that professor peters cares deeply for Earth Science material. Simultaneously, the way he does lectures and the degree to which he asks students to conduct independent research, no matter the topic, is often detrimental to learning. He often has no lecture whatosever.