GEOG 4463 - Earth Analytics Data Science Bootcamp
Secondary Instructor
-
Fall 2020 / Fall 2021 / Fall 2022
Learn key skills to automate data processing and visualization workflows that support both repeatable analysis and collaborative project approaches using scientific programming, version control and project management tools. Covers working with heterogeneous, large spatio-temporal data derived from space, airborne and ground based sensors and other sources. Gain applied experience through group projects that address real world problems. Same as GEOG 5463.
GEOG 5100 - Special Topics: Geography
Secondary Instructor
-
Summer 2021
Covers various topics outside of the normal curriculum; offered intermittently depending on student demand and availability of faculty. May be repeated up to 9 total credit hours.
GEOG 5463 - Earth Analytics Data Science Bootcamp
Secondary Instructor
-
Fall 2020 / Fall 2021 / Fall 2022
Learn key skills to automate data processing and visualization workflows that support both repeatable analysis and collaborative project approaches using scientific programming, version control and project management tools. Covers working with heterogeneous, large spatio-temporal data derived from space, airborne and ground based sensors and other sources. Gain applied experience through group projects that address real world problems. Same as GEOG 4463.
GEOG 5563 - Earth Analytics
Secondary Instructor
-
Spring 2021 / Spring 2022
Introduce students to major unanswered questions in Earth science and to the analytical tools, including data management, analysis and visualization, necessary to explore 'big data' from a suite of sensors. Aligns with Earth Lab, a new initiative of the University's Grand Challenge (http://www.colorado.edu/grandchallenges/) to use our expertise in space-based observation to address our world's most pressing problem. Comparable programming course work may be substituted for GEOG 5463 with instructor approval. Same as GEOG 4563.
GEOG 5663 - Earth Analytics Applications
Secondary Instructor
-
Spring 2019
Develop expertise in finding, organizing, managing and processing large, heterogeneous, spatio-temporal data to address a real-world problem. Students will work collaboratively on semi-guided science project. Students gain critical skills required to understand data structures, utilize APIs, extract insight from data and understand how uncertainty propagates. Culminates with a formal presentation of project results. May be repeated up to 3 total credit hours.
