Winter 2022 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.
|102-6||Sustainability & Social Justice (First-Year Seminar)||Horton||TTh 11:00 AM - 12:20 PM|
|114||Evolution and the Scientific Method||Sageman||MWF 12:00-12:50 PM|
|202||Earth's Interior||Stein||MW 12:00-1:20 PM||F 12:00-1:50 PM or F 2:00-3:50 PM|
|204||Communication for Geoscientists||Osburn||TTh 2:00-3:20 PM|
|300||Earth and Planetary Materials||Jacobsen||TTh 3:30-4:50 PM||W 11:00 AM - 12:50 PM or W 2:00-3:50 PM|
|341||Quarternary Climate Change: Ice Ages to the Age of Oil||Axford||TTh 12:30-1:50 PM|
|360||Instrumentation and Field Methods||Beddows||MWF 11:00-11:50 AM||PRA M 2:00-4:50 PM|
|371||Biogeochemistry||Blair||TTh 9:30-10:50 AM|
|390-8||Special Topics: R Data Science||TBA||TTh 9:30-10:50 AM|
The challenge of sustainability to "meet the needs of the present without compromising the ability of future generations to meet their own needs" has evolved over the past few decades. This course will introduce fundamental concepts of sustainability, consider the application of these concepts in diverse societal, economic, and cultural settings, and explore the potential of climate science and sustainable development to act as forces for environmental and social justice.
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
Science writing and presentation skills necessary for careers in the earth sciences. Topics include science writing as a language, scientific manuscript components, abstracts, poster presentations, formal talks, and informal presentations. Registration is reserved for Earth & Planetary Sciences majors and minors.
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
Methods for reconstructing and dating past environmental changes, causes of natural climate change, and major climate events of the Quaternary through the present. Their relevance for understanding current climate change. Prerequisite: At least one 200-level EARTH course; or consent of instructor. Natural Sciences Distro Area
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.
The cycling of biogenic elements (C, N, S, Fe, Mn) in surficial environments is the focus of this course. Emphasis will be placed on microbial processes and isotopic signatures. Prerequisites: One quarter of chemistry plus one quarter of geoscience, environmental science, or biology to enroll in this course. Taught with CIV ENV 317; students may not earn credit for both courses. [Previously offered as EARTH 317]
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.Back to top