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CQS Courses

Q SCI 291 Analysis for Biologists I (5) NW, QSR Johnson, Scherba
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, a minimum score of 2 on advanced placement test, or a minimum score of 67% on MATHPC placement test. Offered: AWSpS.

Q SCI 292 Analysis for Biologists II (5) NW, QSR Johnson, Scherba
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: Q SCI 291. Offered: WSpS.

Q SCI 381 Introduction to Probability and Statistics (5) NW, QSR Gallucci, Holtgrieve, Tobin
Applications to biological and natural resource problems stressing the formulation and interpretation of statistical tests. Descriptive and inferential topics covered include common probability distributions, confidence intervals, hypothesis tests, and simple linear regression. Prerequisite: MATH 120, a minimum score of 2 on advanced placement test, or a minimum score of 67% on MATHPC placement test. Offered: AWSpS.

Q SCI 403/STAT 403 Introduction to Resampling Inference (4) NW
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. Prerequisite: either STAT 220, STAT 301, STAT/ECON 311, STAT 341, STAT/MATH 390 or STAT/ECON 481. Offered: Sp.

Q SCI 454 Ecological Modeling (5) NW Essington
Examines concepts in ecological modeling focusing on the rational, interpretation, and motivation for modeling in ecological sciences. Explores individual, population, and ecosystem-based models. Excel-based computer exercises, model building and interpretation, readings. Recommended: prior coursework in ecology and statistics. Offered: jointly with FISH 454. Offered: W.

Q SCI 458 Modeling and Estimation in Conservation and Resource Management (4) NW Branch
Explores the use of models in the evaluation of alternative management polices for natural resources, including modeling approaches, fitting models to data, and evaluating alternative management polices. Emphasizes calculating risk of extinction, and design of biological reserves. Recommended: either Q SCI 454 or FISH 454. Offered: jointly with FISH 458; Sp.

Q SCI 480 Sampling Theory for Biologists (3) NW 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; recommended: Q SCI 483. Offered: jointly with STAT 480; Winter quarters of odd years.

Q SCI 482 Statistical Inference in Applied Research I: Hypothesis Testing and Estimation for Ecologists and Resource Managers (5) NW Ganguly
Parametric and nonparametric tests, and confidence intervals for estimated parameters. One-sample, two-sample, paired-sample, multi-sample comparisons (including analysis of variance). Statistical power and experimental design. Goodness-of-fit tests, chisquare tests for contingency table data. Application to biological problems. SPSS software used. Prerequisite: Q SCI 381 or STAT 311. Offered: AW.

Q SCI 483 Statistical Inference in Applied Research II: Regression Analysis for Ecologists and Resource Managers (5) NW Skalski, 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 formulation of regression models and applications. Special topics of interest to instructor, e.g., Akike information theory, general linear models, etc. Prerequisite: Q SCI 381, Q SCI 482. Offered: WSp

Q SCI 486 Experimental Design (3) NW
Emphasizes data modeling using structured means resulting from choice of experimental design and treatment factor design. Various treatment structures and experimental designs will be examined in detail including Gradient, Crossed, and Nested Factor treatment structures, Completely Randomized Designs, Complete Block Designs, Incomplete Block Designs, Split-plot Designs, Repeated Measures Designs, and Covariance Analysis. Issues surrounding multiple comparisons, efficiency, power, sample size, and pseudo-replication are also covered. Prerequisite: Q SCI 482; recommended: Q SCI 483. Offered: jointly with STAT 486; Winter quarters of even years.

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.

Q SCI 498 Internship (1-15, max. 15)
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. Credit/no credit only. Offered: AWSpS.

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. Offered: AWSpS

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