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11 - 20 of 57 results for: ESS ; Currently searching offered courses. You can also include unoffered courses

ESS 108: Research Preparation for Undergraduates

For undergraduates planning to conduct research during the summer with faculty through the MUIR and SUPER programs. Readings, oral presentations, proposal development. May be repeated for credit.
Terms: Spr | Units: 1

ESS 111: Biology and Global Change (BIO 117, EARTHSYS 111, EARTHSYS 217)

The biological causes and consequences of anthropogenic and natural changes in the atmosphere, oceans, and terrestrial and freshwater ecosystems. Topics: glacial cycles and marine circulation, greenhouse gases and climate change, tropical deforestation and species extinctions, and human population growth and resource use. Prerequisite: Biology or Human Biology core or BIO 81 or graduate standing.
Terms: Win | Units: 4 | UG Reqs: GER: DB-NatSci, WAY-SMA

ESS 112: Human Society and Environmental Change (EARTHSYS 112, EARTHSYS 212, HISTORY 103D)

Interdisciplinary approaches to understanding human-environment interactions with a focus on economics, policy, culture, history, and the role of the state. Prerequisite: ECON 1.
Terms: Aut | Units: 4 | UG Reqs: WAY-SI

ESS 123: Biosphere-Atmosphere Interactions (EARTHSYS 123A, EARTHSYS 223, ESS 223)

How do ecosystems respond to climate change, and how can ecosystems affect climate? This course describes, quantitatively and qualitatively, the different feedback mechanisms between the land surface and climate at both local and global scales. We will also discuss how these processes can be modelled and measured across earth's diverse ecosystems, and how they affect prospects for nature-based climate solutions. Basic familiarity with programming is helpful.
Terms: Win | Units: 3-4

ESS 141: Remote Sensing of the Oceans (EARTHSYS 141, EARTHSYS 241, ESS 241, GEOPHYS 141)

How to observe and interpret physical and biological changes in the oceans using satellite technologies. Topics: principles of satellite remote sensing, classes of satellite remote sensors, converting radiometric data into biological and physical quantities, sensor calibration and validation, interpreting large-scale oceanographic features.
Terms: Win | Units: 3-4 | UG Reqs: GER: DB-NatSci, WAY-AQR
Instructors: Arrigo, K. (PI)

ESS 148: Introduction to Physical Oceanography (CEE 162D, CEE 262D, EARTHSYS 164)

An introduction to what causes the motions in the oceans. Topics include: the physical environment of the ocean; properties of sea water; atmosphere-ocean interactions; conservation of heat, salt, mass, and momentum, geostrophic flows, wind-driven circulation patterns; the Gulf Stream; equatorial dynamics and El Nino; and tides. By the end of the course, students will have physical intuition for why ocean currents look the way they do and a basic mathematical framework for quantifying the motions. Prerequisite: PHYSICS 41
Terms: Aut | Units: 3 | UG Reqs: GER: DB-NatSci

ESS 151: Biological Oceanography (EARTHSYS 151, EARTHSYS 251, ESS 251)

Required for Earth Systems students in the oceans track. Interdisciplinary look at how oceanic environments control the form and function of marine life. Topics include distributions of planktonic production and abundance, nutrient cycling, the role of ocean biology in the climate system, expected effects of climate changes on ocean biology. Local weekend field trips.
Terms: Spr | Units: 3-4 | UG Reqs: WAY-SMA
Instructors: Arrigo, K. (PI)

ESS 155: Science of Soils (EARTHSYS 155)

Physical, chemical, and biological processes within soil systems. Emphasis is on factors governing nutrient availability, plant growth and production, land-resource management, and pollution within soils. How to classify soils and assess nutrient cycling and contaminant fate. Recommended: introductory chemistry and biology.
Terms: Spr | Units: 4-5 | UG Reqs: GER: DB-NatSci, WAY-SMA
Instructors: Fendorf, S. (PI)

ESS 162: Remote Sensing of Land (EARTHSYS 142, EARTHSYS 242, ESS 262)

The use of satellite remote sensing to monitor land use and land cover, with emphasis on terrestrial changes. Topics include pre-processing data, biophysical properties of vegetation observable by satellite, accuracy assessment of maps derived from remote sensing, and methodologies to detect changes such as urbanization, deforestation, vegetation health, and wildfires.
Terms: Spr | Units: 3 | UG Reqs: WAY-AQR

ESS 164: Fundamentals of Geographic Information Science (GIS) (EARTHSYS 144)

Everything is somewhere, and that somewhere matters." The rapid growth and maturity of spatial data technologies over the past decade represent a paradigm shift in the applied use of location data from high-level overviews of administrative interests, to highly personalized location-based services that place the individual at the center of the map, at all times. The use of spatial data and related technology continues to grow in fields ranging from environmental sciences to epidemiology to market prediction. This course will present an overview of current approaches to the use of spatial data and its creation, capture, management, analysis and presentation, in a research context. Topics will include modeling of geographic objects and associated data, modeling of geographic space and the conceptual foundations of "spatial thinking," field data collection, basic spatial statistical analysis, remote sensing & the use of satellite-based imagery, "Big Data" and machine learning approaches t more »
Everything is somewhere, and that somewhere matters." The rapid growth and maturity of spatial data technologies over the past decade represent a paradigm shift in the applied use of location data from high-level overviews of administrative interests, to highly personalized location-based services that place the individual at the center of the map, at all times. The use of spatial data and related technology continues to grow in fields ranging from environmental sciences to epidemiology to market prediction. This course will present an overview of current approaches to the use of spatial data and its creation, capture, management, analysis and presentation, in a research context. Topics will include modeling of geographic objects and associated data, modeling of geographic space and the conceptual foundations of "spatial thinking," field data collection, basic spatial statistical analysis, remote sensing & the use of satellite-based imagery, "Big Data" and machine learning approaches to spatial data, and cartographic design and presentation including the use of web-based "Storymap" platforms. The course will consist of weekly lectures, guest speakers, computer lab assignments, midterm and final exams, as well as an individual final project requirement. This course must be taken for a minimum of 3 units and a letter grade to be eligible for Ways credit.
Terms: Aut | Units: 3-4 | UG Reqs: GER: DB-NatSci, WAY-AQR
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