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Option Climate and Biosystems Modeling Undergraduate Option  

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This option is offered within the following major(s):
Bioresource Research - College of Agricultural Sciences



The Climate and Biosystems Modeling option applies general systems theory to the analysis of climate, environmental and agricultural systems, and their interactions. Systems theory provides a method of analyzing overall system behavior by examining the relations among—and the behavior of—individual components, and synthesizing these relationships into a mathematical framework that describes the total system. Computer simulation using this mathematical framework can predict and analyze the response to various changes in the inputs to, and/or structure of, the system, providing a powerful tool for the development of comprehensive solutions to problems. Examples of topics for student research could include studying the effects of climate change on vectored disease transmission, marine biodiversity, distributions of crops and crop pathogens, the carbon and nitrogen cycles, and wildfire cycles. The option is flexible; students design personalized programs and may complete a double major or minor if desired. This option will prepare students for challenging careers in governmental regulatory agencies and environmental consulting companies, or for graduate programs.

BRR students interested in climate and/or ecosystem research but not modeling should investigate the Sustainable Ecosystems option.



Required Courses


1. Climate

Choose one course from below (4 credits):
ATS 420. Principles of Climate: Physics of Climate and Climate Change (4)
GEOG 323. ^Climatology (4)

2. Biosystems

Choose one from below or another appropriate course approved by research mentor (3–4 credits):
BI 370. Ecology (3)
BOT 341. Plant Ecology (4)
CE 412. Hydrology (4)
FE 430. Watershed Processes (4)
FES 341. Forest Ecology (3)
FW 320. Introductory Population Dynamics (4)
OC 440. Biological Oceanography (4)

3. Quantitative Modeling

Choose one course from below (3–4 credits):
BEE 320. Biosystems Analysis and Modeling (4)
ST 435. Quantitative Ecology (3)
ST 443. Applied Stochastic Models (3)

4. Computer Programming

Choose one course from below or another appropriate course approved by research mentor (4 credits):
CS 151. Introduction to C Programming (4)
CS 161. Introduction to Computer Science I (4)

5. Statistics

Choose one sequence from below (8 credits):
ST 411, ST 412. Methods of Data Analysis (4,4)
ST 421, ST 422. Introduction to Mathematical Statistics (4,4)

Specialization and Breadth Courses

6 to 9 credits approved by research mentor.

Total=29 credits

 

Footnote:

^ Writing Intensive Course


Option Code: 816




 
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