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
Data in Earth Science was challenging, confusing, and frustrating. I think the skills I learned in this course are important and useful, specifically the introduction to ArcGIS. Dr. Peters' lectures were chaotic and confusing, and I did not like his teaching style. He refused to answer clarifying questions about the course material because he wanted his students to struggle to learn more. Dr. Peters was a fair grader, but his comments on projects were harsh, and his expectations are high.
Data in Earth Science was challenging, confusing, and frustrating. I think the skills I learned in this course are important and useful, specifically the introduction to ArcGIS. Dr. Peters' lectures were chaotic and confusing, and I did not like his teaching style. He refused to answer clarifying questions about the course material b …Read more
This course was quite frustrating to be honest. The work load was not too bad, as there was only 8 assignments in total for the entire semester (5 assignments, 2 lecture summaries, 1 final project). The work required in the assignments forced us to have a solid understanding on various complex applications, which was a VERY frustrating and time-consuming process. Unless you have an interest in Environmental Science or just really dislike math classes, I would not take this class. Professor Peters was very kind and funny though, and he was very passionate about the material that is taught in this course. At time though, he could be a bit unhelpful, but it is because he wanted us to struggle with the applications so we learned how to use them ourselves.
This course was quite frustrating to be honest. The work load was not too bad, as there was only 8 assignments in total for the entire semester (5 assignments, 2 lecture summaries, 1 final project). The work required in the assignments forced us to have a solid understanding on various complex applications, which was a VERY frustrati …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.