Winter 2021 Class Schedule
NOTE: This course schedule is subject to change based on instructional guidelines to comply with COVID restrictions. Courses may be added, cancelled, or moved quarters as deemed necessary.
|114-0||Evolution and the Scientific Method||Sageman|
|300-0||Earth and Planetary Materials||Jacobsen|
|353-0||Mathematical Inverse Methods in Earth and Environmental Sciences||van der Lee|
|360-0||Instrumentation and Field Methods||Beddows|
|390-0-08||R Data Science||Xie|
|450-0-04||Advanced Topics: H Isotopes||Osburn|
|450-0-02||Advanced Topics: Communicating Science Beyond Academia||Axford|
|519-0||Responsible Conduct of Research Training||Beddows|
The scientific method is explored through the role it has played in the development of evolutionary thought. The course tracks the history of evolutionary theory from its earliest origins to the modern consensus, and in so doing, provides examples of scientific method as practiced in biology, geology, physics, and chemistry. It is the story of one of the greatest paradigm shifts in the history of human thought, and is designed to serve the needs of a broad spectrum of non-science majors seeking to satisfy the Area I distribution requirement.
The earth as a planet: origin, composition, and evolution of the solar system and the earth; internal structure of the earth; plate tectonics. Recommended Background: At least one credit in math, chemistry, biology or physics. Natural Sciences Distro Area
Mineralogy of the earth and planets from atomic to continental scales, focusing on structure, composition, identification, and physical properties of minerals as they pertain to geological and societal applications. Recommended Background: At least one course in each of chemistry, physics, and math. Natural Sciences Distro Area
The sources and fates of organic matter in the natural environment; global cycling of organic carbon; applications to the study of modern and ancient environments. Recommended Background: at least one quarter of earth or environmental science, and one quarter of chemistry. Taught with CIV_ENV 314-0; may not receive credit for both courses. Natural Sciences Distro Area
Theory and application of inverse methods to gravity, electromagnetic, seismic, and other data. Linearized, non-linear, underdetermined, and mixed-determined problems and solution methods, including regularized least-squares and search algorithms. Recommended Background: Python programming language and two of 1) linear algebra, 2) statistics for physical scientists, 3) differential calculus of multivariable functions.
Theory and practicum on electronic instrumentation for monitoring and measurement in earth sciences, including data loggers, conceptual design and construction of electronic sensors, signal processing, data management, and network design. Recommended Background: 3 EARTH courses.
As we are in the era of ‘big data’, the quantity and quality of data available for environmental, ecological and earth science research has exploded over the past few decades. The free and open-source R programming language has become a powerful tool in data analysis in scientific research. This course offers an introduction to the fundamentals of data science using the programming language, R. The course contents span from basic R programming skills to advanced skills including data management, visualization and analysis of spatial data such as weather and satellite imagery data. By conducting hands-on exercises and an extensive project, students will develop dynamic and reproducible outputs based on their own fields of interests. This course does not require prior coding experience.
Topics at the frontiers of research taught by visiting or departmental faculty.
Through reading, discussion, writing and peer critique, this course will explore strategies for successful scientific communication beyond academia. How can scientists break through barriers to understanding and foster engagement with scientific information, while still conveying nuance and uncertainty? What happens when science becomes politicized and controversial? This seminar is open to graduate students in all STEM disciplines, with preference to students who have begun to conduct independent research.
All Earth and Planetary Sciences Graduate Students and Post Doctoral Fellows must complete the Responsible Conduct of Research (RCR) Training in their first year of the program. This course includes 6 online "CITI" modules as well as discussion sections. New students and fellows should contact the Assistant Chair with any questions. Recommended Background: Earth and Planetary Sciences Graduate Students and Post-Doctoral Fellows OnlyBack to top