Description of Courses Taught by Members of the Biometry
Group
FW 324: Wildlife Biometry
Instructor: Dr. Scott Winterstein
Description in Course Catalog: Quantitative
techniques to analyze and interpret fisheries and wildlife data.
Prerequisites: MTH 116, ZOL
250
Offered: Fall 3(2-3)
STT 464: Statistics for Biologists
I
Section I for Crop and Soil Sciences Majors
Instructor: Dr. Sasha Kravchenko
Description in Course Catalog: Biological
random variables. Estimation of population parameters. Testing hypotheses.
Linear correlation and regression (prediction). Analyses of counted and
measured data to compare several biological groups (contingency tables
and analysis of variance).
Prerequisites: STT 421
Offered: Fall 3(3-0)
Section II for Animal Sciences Majors
Instructor: Dr. Robert Tempelman
Description in Course Catalog: Biological
random variables. Estimation of population parameters. Testing hypotheses.
Linear correlation and regression (prediction). Analyses of counted and
measured data to compare several biological groups (contingency tables
and analysis of variance).
Prerequisites: STT 421
Offered: Fall 3(3-0)
STT 465: Statistics for Biologists
II
Section I for Crop and Soil Sciences Majors
Instructor: Dr. Sasha Kravchenko
Description in Course Catalog: Concepts
of reducing experimental error: covariance, complete and incomplete block
designs, latin squares, split-plots, repeated-measures designs, regression
applications, and response surface designs.
Prerequisites: STT 464
Offered: Spring 3(3-0)
Section II for Animal Sciences Majors
Instructor: Dr. Robert Tempelman
Description in Course Catalog: Concepts
of reducing experimental error: covariance, complete and incomplete block
designs, latin squares, split-plots, repeated-measures designs, regression
applications, and response surface designs.
Prerequisites: STT 464
Offered: Spring 3(3-0)
FW 852: Systems Modeling and Simulation
Instructor: Dr. Jianguo (Jack) Liu
Description in Course Catalog: General
systems theory and concepts. Modeling and simulation methods. Applications
of systems approach and techniques to natural resource management, and
to ecological and agricultural research
Prerequisites: STT 422 or STT 442
or STT 464 or GEO 463.
Offered: Fall of even-numbered years, starting
1996
FW 853: Applied Systems Modeling and
Simulation for Natural Resource Management
Instructor: Dr. Daniel Hayes
Description in Course Catalog: Mathematical
models for evaluating resource management strategies. Stochastic and deterministic
simulation for optimization. System control structures. Team modelling
approach.
Prerequisites: FW 852 or
BE436 or ZOL 851
Offered: Spring of odd-numbered years,
starting 1997
FW 824: Analysis of Wildlife Populations
Instructor: Dr. Scott Winterstein
Description in Course Catalog: Statistical
and ecological concepts, methods and computer techniques needed to analyze
and interpret demographic data from fish and wildlife studies
Prerequisites: None
Offered: Spring of even-numbered years
3(2-3)
FW 877: Fish Population Dynamics
Instructor: Dr. James Bence
Description in Course Catalog: Quantitative
analysis of fish populations. Evaluation, causes, and impacts of the rates
of change in survival, growth, reproduction, and recruitment for fish populations
and their yield.
Prerequisites: None
Offered: Fall of even-numbered years 3(2-2)
Instructor's Note: The emphasisis of the
course is on the quantitative analysis of fish populations, including evaluation
of causes, and impacts of the rates of change in survival, growth reproduction,
and recruitment. Approaches used include a mix of statistics and dynamic
modeling. Although this course has no formal prerequisites, statistical
background is useful: e.g., techniques such as nonlinear regression and
Monte Carlo simulations are introduced and used. This course includes lecture
and computer lab components. This course is intended for students
whose primary interest is in fish populations and is not designed as a
general background course in population dynamics or modeling.
CSS 921: Contemporary Statistical Models
in Biology
Instructor: TBA
Description in Course Catalog: Estimating
functions. Growth models, generalized linear models, linear and non-linear
mixed models. Field experiments with spatial trends. Longitudinal data.
Modeling in the presence of spatial and temporal correlations.
Prerequisites: STT 465 or approval
of department. Working knowledge of SAS.
Offered: This course was offered by former
faculty member Oliver Schabenberger. It is not currently offered.
FOR 930: Advanced Forest Genetics
Instructor: Dr. Bryan Epperson
Description in Course Catalog: Applications
of genetics, plant breeding, and biotechnology to the improvement, and
preservation of diversity, of tree species.
Prerequisites: HRT 819 or
HRT 836
Offered: Fall of odd-numbered years 2(1-2).
Interdepartmental with Horticulture, and Crop and Soil Sciences
Instructor's Note: Advanced population,
statistical and quantitative genetics and applications of plant breeding
principles. The course is directed toward advancing graduate students'
understanding of population genetics. The course is designed to provide
a "toolbox" of verbal concepts and/or mathematical methods, depending on
individual interests of each student. After a review of the simplest mathematical
tools involved in mutation, migration, selection, genetic drift, and inbreeding,
a series of more advanced current philosophical and processual concepts
will be introduced as well as more sophisticated mathematical models. Students
will not necessarily be assessed based on mathematical mastery of the advanced
topics, but they should grasp the processual concepts. Evaluations of student
performance will be largely based on two mid-term projects, for which individuals
can choose any combination of short papers (3-5 pages) or developing their
own mathematical or computational projects. Although there is a formal
prerequisite for this course, admittance can also be made upon consideration.
ANS 870 Techniques of Analyzing
Unbalanced Research Data
Instructor: Dr. Robert Tempelman
Description in Course Catalog:
Linear
model techniques to analyze biological research data characterized by missing
and unequal number of observations in classes. Simultaneous
consideration of multiple factors. Prediction of breeding
values and estimation of population parameters from
variance and covariance components.
Prerequisites: STT 464 or
instructor approval
Offered: Spring 4(4-0). (Note - during
2001-2002 this course was taught in fall) Interdepartmental with
Forestry, Crop and Soil Sciences, Horticulture, and Fisheries and Wildlife.
FOR 976: Multivariate Methods in Agriculture
and Natural Resources
Instructor: TBA
Description in Course Catalog: Application
of multivariate methods to research problems. Hotelling's T-test, profile
analysis, discriminant analysis, canonical correlation, principal components,
principal coordinates, correspondence analysis, and cluster analysis.
Prerequisites: STT 422, MTH
314
Offered: This course was taught by the
late Dr. Carl Ramm. It is not currently offered.
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