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2001-2003 Catalog - University of Arkansas at Monticello

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198<br />

<strong>Arkansas</strong>-<strong>Monticello</strong><br />

Gradu<strong>at</strong>e Programs<br />

FRS 502V Special Topics<br />

Variable credit<br />

Selected topics in forest resources.<br />

FRS 5102 Research Methods<br />

2 credits: 2 hours lecture<br />

Introduction to the conceptual and technical aspects <strong>of</strong><br />

research. Topics include the scientific method, science<br />

reasoning, liter<strong>at</strong>ure searching, scientific writing, and ethics.<br />

FRS 5113 St<strong>at</strong>istics in Research I<br />

3 credits: 2 hours lecture, 2 hours labor<strong>at</strong>ory<br />

Fundamental concepts and applic<strong>at</strong>ions <strong>of</strong> st<strong>at</strong>istics with<br />

focus on n<strong>at</strong>ural resources. Probability and distribution<br />

theory; estim<strong>at</strong>ion and hypothesis tests involving one<br />

parameter; hypothesis tests involving two parameters;<br />

simple and multiple linear regression. Use <strong>of</strong> st<strong>at</strong>istical<br />

s<strong>of</strong>tware.<br />

FRS 5123 St<strong>at</strong>istics in Research II<br />

3 credits: 2 hours lecture, 2 hours labor<strong>at</strong>ory<br />

Prerequisite: FRS 5113 or permission <strong>of</strong> instructor.<br />

Essential concepts and applic<strong>at</strong>ions <strong>of</strong> st<strong>at</strong>istics with<br />

focus on n<strong>at</strong>ural resources. Analysis <strong>of</strong> variance; multiple<br />

range tests; analysis <strong>of</strong> covariance; higher order<br />

experimental designs; c<strong>at</strong>egorical d<strong>at</strong>a; non-linear<br />

regression. Use <strong>of</strong> st<strong>at</strong>istical s<strong>of</strong>tware.<br />

FRS 5133 Wildlife-Habit<strong>at</strong> Rel<strong>at</strong>ionships<br />

3 credits: 3 hours lecture<br />

Prerequisite: One course in wildlife ecology or<br />

permission <strong>of</strong> instructor. Advanced concepts in wildlifehabit<strong>at</strong><br />

rel<strong>at</strong>ionships. Combines study <strong>of</strong> n<strong>at</strong>ural history<br />

and ecological theory to investig<strong>at</strong>e and discuss<br />

wildlifehabit<strong>at</strong> concepts.<br />

FRS 5143 Landscape Ecology<br />

3 credits: 3 hours lecture<br />

Prerequisite: One course in ecology or permission <strong>of</strong><br />

instructor. Advanced concepts associ<strong>at</strong>ed with landscape<br />

ecology. Study <strong>of</strong> sp<strong>at</strong>ial vari<strong>at</strong>ion in landscapes <strong>at</strong> a<br />

variety <strong>of</strong> scales. Includes biophysical and societal causes<br />

and consequences <strong>of</strong> landscape heterogeneity.<br />

FRS 5153 Wildlife Popul<strong>at</strong>ion Management<br />

3 credits: 2 hours lecture, 3 hours labor<strong>at</strong>ory<br />

Introduction to the techniques used in the analysis,<br />

interpret<strong>at</strong>ion, and management <strong>of</strong> wildlife popul<strong>at</strong>ions.<br />

Measures <strong>of</strong> abundance, dispersal, fecundity and<br />

mortality, popul<strong>at</strong>ion modeling, competition and<br />

pred<strong>at</strong>ion, and the management <strong>of</strong> rare species and their<br />

habit<strong>at</strong>s are discussed in detail.<br />

FRS 5203 N<strong>at</strong>ural Resource Sociology<br />

3 credits: 3 hours lecture<br />

Found<strong>at</strong>ions for understanding human-n<strong>at</strong>ural resource<br />

rel<strong>at</strong>ionships. Development <strong>of</strong> a theoretical understanding<br />

<strong>of</strong> the importance <strong>of</strong> viewing humans as part <strong>of</strong> the<br />

n<strong>at</strong>ural resource decision making process.<br />

FRS 5223 Forest Ecosystem Ecology<br />

3 credits: 3 hours lecture<br />

Prerequisites: Gradu<strong>at</strong>e st<strong>at</strong>us and one course in ecology.<br />

Advance study into the structure and function <strong>of</strong> forest<br />

ecosystems including current and founding theories on<br />

energy flow, nutrient cycling, temporal change in and<br />

disturbance <strong>of</strong> ecosystems, landscape and sp<strong>at</strong>ial<br />

rel<strong>at</strong>ionships, biodiversity, and anthropogenic alter<strong>at</strong>ion<br />

<strong>of</strong> ecosystems.<br />

FRS 5233 N<strong>at</strong>ural Resource Policy<br />

3 credits: 3 hours lecture<br />

Found<strong>at</strong>ions for understanding forest and n<strong>at</strong>ural<br />

resource policy. Includes historical context as well as<br />

social, biological, and political constraints and<br />

ramific<strong>at</strong>ions <strong>of</strong> policy.<br />

FRS 5283 Advanced Wood Properties and Products<br />

3 credits: 3 hours lecture<br />

Structure and properties (physical and mechanical) <strong>of</strong><br />

wood, tree growth and wood properties, and wood<br />

products (processing and raw m<strong>at</strong>erials).<br />

FRS 5253 Advanced Forest Economics<br />

3 credits: 3 hours lecture<br />

Prerequisites: FOR 4673 or equivalent; MATH 1073 or<br />

equivalent; FRS 5113 and FRS 5123. Advanced<br />

economic principles applied to forest-based n<strong>at</strong>ural<br />

resource problems. Valu<strong>at</strong>ion, forecasting, inventory<br />

models, supply and production <strong>of</strong> forest outputs,<br />

regional economic analysis. Readings and problems.<br />

FRS 5303 Forest Modeling<br />

3 credits: 3 hours lecture<br />

Prerequisite: FOR 5113 or permission <strong>of</strong> instructor.<br />

Model construction <strong>of</strong> ecological processes and their<br />

applic<strong>at</strong>ion to solve practical and conceptual issues <strong>of</strong><br />

forestry.<br />

FRS 5313 Digital Remote Sensing<br />

3 credits: 2 hours lecture, 3 hours labor<strong>at</strong>ory<br />

Prerequisites: FRS 5113 and FOR / SIS / WLF 3814, or<br />

permission <strong>of</strong> instructor. Advanced digital remote<br />

sensing concepts. Includes principles <strong>of</strong> remote sensing<br />

for mapping, landcover classific<strong>at</strong>ion, and analysis <strong>of</strong><br />

spectral d<strong>at</strong>a.

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