Glossary
UW Bothell Course Descriptions
UW Tacoma Course Descriptions
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Course Descriptions |
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Detailed course offerings (Time Schedule) are available for
To see the detailed Instructor Class Description, click on the underlined instructor name following the course description.
Q SCI 210 Introduction to Environmental Modeling (5) NW,QSR
Introduction to the use of computer modeling software in environmental policy and decision making. In weekly computer lab meetings, students use established programs to analyze the outcomes of management strategies and policy decisions relating to topics such as conservation of endangered species, climate change, and deforestation. Offered: jointly with ENVIR 210.
Q SCI 291 Analysis for Biologists I (5) NW, QSR
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. Not available for credit to students who have completed MATH 124 with a 2.0 or higher. Offered: AWSp.
Instructor Course Description:
Jay A Johnson
Q SCI 292 Analysis for Biologists II (5) NW, QSR Gallucci, Greulich, 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 Q SCI 291. Not available for credit to students who have completed MATH 125 with a 2.0 or higher Offered: WSpS.
Instructor Course Description:
Jay A Johnson
Vincent Gallucci
Q SCI 381 Introduction to Probability and Statistics (5) NW, QSR
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, MATH 144, or Q SCI 291,or a minimum score of 2 on advanced placement test, or a minimum score of 67% on MATHPC placement test. Offered: AWSpS.
Instructor Course Description:
Andre Punt
B Bruce Bare
Francis E Greulich
Gerard Fritz Schreuder
Marcia A. Ciol
Donatello Telesca
Q SCI 454 Ecological Modeling (5) NW
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.
Q SCI 458 Fisheries Stock Assessment (4) NW Hilborn
Emphasizes quantitative analysis of fisheries data to determine how the fishery would respond to alternative management actions. Major topics include production models, stocks and recruitment, catch at age analysis, and formulation of harvest strategies. Recommended: either Q SCI 456 or FISH 456. Offered: jointly with FISH 458; Sp.
Instructor Course Description:
Andre Punt
Ray Hilborn
Q SCI 480 Sampling Theory for Biologists (3) NW
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; odd years.
Q SCI 482 Statistical Inference in Applied Research I: Hypothesis Testing and Estimation for Ecologists and Resource Managers (5) NW
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.
Instructor Course Description:
Loveday L Conquest
Q SCI 483 Statistical Inference in Applied Research II: Regression Analysis for Ecologists and Resource Managers (5) NW
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: either Q SCI 381 or Q SCI 482. Offered: WSp.
Q SCI 486 Experimental Design (3) NW
Topics in analysis of variance and experimental designs: choice of designs, comparison of efficiency, power, sample size, pseudoreplication, factor structure. Prerequisite: Q SCI 482; recommended: Q SCI 483. Offered: jointly with STAT 486; 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.
