Detailed course offerings (Time Schedule) are available for
Q SCI 291 Analysis for Biologists I (5) NW, QSR J. JOHNSON
Introduction to differential calculus, emphasizing development of basic skills. Examples promote understanding of mathematics and applications to modeling and solving biological problems. Topics include optimization and curve analysis. Prerequisite: either MATH 120, Q SCI 190, a minimum score of 2 on advanced placement test, or a score of 153-163 on MPT-AS placement test. Not available for credit to students who have completed MATH 124 with a 2.0 or higher. Offered: AWS.
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Q SCI 292 Analysis for Biologists II (5) NW, QSR V. GALLUCCI, J. JOHNSON
Introduction to integral calculus, emphasizing development of basic skills. Examples promote understanding of mathematics and applications to modeling and solving biological problems. Topics include areas under curves, volumes, and differential equations. Prerequisite: minimum grade of.7 in either Q SCI 291 or MATH 124. Not available for credit to students who have completed MATH 125 with a 2.0 or higher Offered: WSpS.
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Q SCI 381 Introduction to Probability and Statistics (5) NW, QSR V. GALLUCCI, G. HOLTGRIEVE, P. TOBIN
Applications to biological and natural resource problems stressing the formulation and interpretation of statistical tests. Random variables, expectations, variances, binomial, hypergeometric, Poisson, normal, chi-square, "t" and "F" distributions. Prerequisite: either MATH 120, MATH 124, MATH 125, MATH 126, Q SCI 190, or Q SCI 291, or a minimum score of 2 on advanced placement test, or a score of 153-163 on the MPT-AS placement test. Offered: AWSpS.
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Q SCI 403 Introduction to Resampling Inference (4) NW V. MININ
Introduction to computer-intensive data analysis for experimental and observational studies in empirical sciences. Students design, program, carry out, and report applications of bootstrap resampling, rerandomization, and subsampling of cases. Experience programming in R is beneficial. Credit allowed for STAT 403 or STAT 503 but not both. Prerequisite: either STAT 311/ECON 311, STAT 341, STAT 390/MATH 390, STAT 481/ECON 481, or Q SCI 381 and Q SCI 482. Offered: jointly with STAT 403; Sp.
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Q SCI 454 Ecological Modeling (5) NW T. ESSINGTON
Examines concepts in ecological modeling focusing on the rationale, interpretation, and motivation for modeling in ecological sciences. Explores individual, population, and ecosystem-based models. Excel-based computer exercises, model building and interpretation, readings. Offered: jointly with FISH 454; W.
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Q SCI 458 Modeling and Estimation in Conservation and Resource Management (4) NW T. BRANCH
Explores the use of models in the evaluation of alternative management policies for natural resources, including modeling approaches, fitting models to data, and evaluating alternative management policies. Emphasizes calculating risk of extinction, and design of biological reserves. Offered: jointly with FISH 458; Sp.
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Q SCI 480 Sampling Theory for Biologists (3) NW J. SKALSKI
Theory and applications of sampling finite populations including: simple random sampling, stratified random sampling, ratio estimates, regression estimates, systematic sampling, cluster sampling, sample size determinations, applications in fisheries and forestry. Other topics include sampling plant and animal populations, sampling distributions, estimation of parameters and statistical treatment of data. Prerequisite: Q SCI 482. Offered: jointly with STAT 480; W, odd years.
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Q SCI 482 Statistical Inference in Applied Research I: Hypothesis Testing and Estimation for Ecologists and Resource Managers (5) NW I. GANGULY
Analysis of variance and covariance; chi square tests; nonparametric procedures multiple and curvilinear regression; experimental design and power of tests. Application to biological problems. Use of computer programs in standard statistical problems. Prerequisite: either STAT 311 or Q SCI 381. Offered: AW.
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Q SCI 483 Statistical Inference in Applied Research II: Regression Analysis for Ecologists and Resource Managers (5) NW J. SKALSKI, P. TOBIN
Analysis of linear regression models and introduction to nonlinear models. Model selection using generalized F-tests; residual analysis. Application to categorical, count, binomial, transformed variables. Introduction to matrix formation of regression models and applications. Prerequisite: Q SCI 381; Q SCI 482. Offered: WSp.
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Q SCI 486 Experimental Design (4) NW
Emphasizes data modeling using structured means resulting from choice of experimental and treatment design. Examines experimental designs, including crossed, nested designs; block; split-plot designs; and covariance analysis. Also covers multiple comparisons, efficiency, power, sample size, and pseudo-replication. Prerequisite: Q SCI 482. Offered: jointly with STAT 486; W, even years.
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Q SCI 497 Special Topics in Quantitative Science (1-15, max. 15) NW
Topics not normally offered in regular curriculum. Format ranges from seminar/discussion, formal lectures, laboratory or modeling work. Offered: AWSpS.
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Q SCI 498 Internship (1-15, max. 15) NW
Internship experience with a public agency or private company, supervised and approved by a faculty member. Preparation of professional report reflecting on the experience is required. Offered: AWSpS.
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Q SCI 499 Research Experience (1-15, max. 15)
Special studies in quantitative ecology and resource management for which there is not sufficient demand to warrant the organization of regular courses. Credit/no-credit only.
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