POPULATION ANALYSIS

ENTOM

NATRS

ES/RP

ZOOL

526 Graduate Course

Objectives

For the student to

Know the methods for analyzing population time series data.
Know how to use these methods to diagnose the underlying causes of population change.
Know how to build models for use in forecasting population change and analyzing management alternatives.
Gain experience in analyzing and interpreting real population data.

Course Structure

6 sessions on the Internet
Reading assignments
Exercises with computers and the software PAS, the "Population Analysis System"
Instructor available for consultation via e-mail or in person
Three examinations

University Credit

1 credit hour

Prerequisites

Population Theory - Entom/Natrs/Zool/EsRp 429 or 529. Click here to review this course.
Statistics through multiple regression and correlation. Click here to review the statistics requirement.
Students are advised that a basic knowledge of general ecology and mathematics through calculus is necessary for this course.

Technical Requirements

Personal computer with Internet connection (e.g., a modum)
Java-enabled web browser, such as Netscape Navigator 3.0, or Microsoft Explorer 3.0 or higher versions.
Spreadsheet software such as Microsoft Excel.
E-mail communication and work submission for off-campus students (click here for information).

Text

Berryman, A. A. 1997. Principles of Population Dynamics and their Application. The text can be obtained from WSU bookstore or from the publisher Stanley Thornes Ltd., Cheltenham, England (distributed in the USA by International Specialized Book Services, 5804 NE Hassalo Street, Portland, OR 97213-3644) (see http://classes.entom.wsu.edu/book/ )
Computer Software, the Population Analysis System. The software can be downloaded fee-of-charge at this web site.

Grading

Homework 50%
Examinations 50%
Grading Policy

Instructor

Professor Alan A. Berryman (click here to obtain more information)
Questions concerning this course can be sent via e-mail to berryman@mail.wsu.edu

Course Outline (Click Session # to access on-line course sessions)

Session	Topic
1	Introduction
2	Diagnosis - the time series
First Examination	Covers Sessions 1 and 2
3	Diagnosis - the phase portrait
4	Modeling
Second Examination	Covers Sessions 3 and 4
5	Forecasting
6	Practice
Final Examination	Review and Final Examination

Course Evaluation

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