| AGB 3302 | Agricultural Marketing |
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| AGB 3310 | Ag Event Planning and Mgt |
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| NRM 1301 | Horticulture |
A survey of the general field of horticulture; a study of the principles and practices of propagation; the growth and fruiting habits of horticulture plants and the culture, harvesting, handling and utilization of fruit and nuts. Entrepreneurship skills and landscape design will be emphasized. |
| NRM 2301 | Range Resources |
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| NRM 2303 | Prin Conservation Biology |
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| NRM 4301 | Human Dimensions In NRM |
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| NRM 4302 | Adv Topics Conservation Biol |
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| NRM 4303 | Range Ecology |
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| NRM 4305 | Wildlife Mgmt Techniques |
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| NRM 4305 | Wildlife Mgmt Techniques Lab |
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| NRM 4410 | Ornithology |
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| NRM 4410 | Ornithology Lab |
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| NRM 5302 | Animal Movement |
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| NRM 5302 | Ecology and Field Biology |
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| NRM 5304 | Research |
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| NRM 5305 | Range/Wildlife Res Methods |
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| NRM 5316 | Project Research |
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| NRM 5321 | Wildlife & Society |
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| NRM 5322 | Sustainability |
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| NRM 5323 | Social Media and Outreach |
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| NRM 5325 | Natural Resource Conserv |
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| NRM 5326 | Silviculture |
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| NRM 5329 | Internship |
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| NRM 5413 | Biostatistical Theory |
An advanced course in statistical concepts and models applied to agricultural and biological systems. Emphasis will be placed on data analysis and interpretation using computer statistical applications. The course applies all null hypotheses significance testing (NHST) procedures taught in NRM 5412, first in Program SPSS, then in Program R after the thorough overview of R programming. NHST theory for these advanced scenarios will also be introduced and applied in R; Generalized Linear Models (GLMs) including Poisson regression, dichotomous variables, binomial distribution, and proportion testing and logistic regression: Generalized Linear Mixed Models (GLMMs); and circular distributions.
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| NRM 5413 | Biostatistical Theory Lab |
An advanced course in statistical concepts and models applied to agricultural and biological systems. Emphasis will be placed on data analysis and interpretation using computer statistical applications. The course applies all null hypotheses significance testing (NHST) procedures taught in NRM 5412, first in Program SPSS, then in Program R after the thorough overview of R programming. NHST theory for these advanced scenarios will also be introduced and applied in R; Generalized Linear Models (GLMs) including Poisson regression, dichotomous variables, binomial distribution, and proportion testing and logistic regression: Generalized Linear Mixed Models (GLMMs); and circular distributions.
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| NRM 6301 | Thesis Proposal |
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| NRM 6302 | Thesis Defense |
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| RCH 4101 | Adv Ranch Mgmt Skills |
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| RCH 4301 | Ranch Ecosystem Mgmt |
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| RCH 4601 | Ranch Internship |
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