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Courses Taught by Eddie Bevilacqua

 

Forest Resource Measurements and Analysis  (FOR 322)
Two hours of lecture and three hours laboratory per week in the first two-thirds of semester. Principles and methods used in the measurement of trees and forest stands, sampling design and analysis, inventory planning, and introduction to the concept of forest growth and yield analysis. 
2 credits.  Fall semester.

Introduction to Probability and Statistics (APM 391)
The aim of statistics is to provide insight into problems and processes by making sense of data. Statistics includes the study of how to collect data, how to summarize and organize data, and how to draw conclusions from data. Statistics quantifies the uncertainty of statements (inferences) made about a group of objects of interest (the population) based on data from only a small part of the population (the sample). APM 391 is an introductory course emphasizing applications and basic concepts. Lectures will focus upon correct use and interpretation of statistical techniques. The early part of the course explores basic concepts and techniques, and these concepts are then applied to statistical methods commonly used to answer scientific and policy questions.
3 credits.  Spring semester. 

Analysis of Variance (ANOVA)  (APM 620)
Three hours of lecture and one hour laboratory. APM 620 is an applied course in the design, analysis, and interpretation of experiments and observational studies. Topics covered include: completely randomized designs, qualitative and quantitative treatment comparisons; multiway classifications including randomized complete block, latin squares, factorial, split-plot, and repeated measures designs with fixed, random and mixed effects; and analysis of covariance. This course will be structured and presented using the SAS programming language to assist in the analysis and interpretation of data. 
3 credits.  Spring semester. 

Introduction to Dendrochronology  (FOR 496)
Introductory course on the concepts and techniques used to collect, mount, prepare, measure and analysis tree-ring data using increment corers. Topics include: applications of tree-ring analysis in climatology and forest ecology; secondary growth in wood stems and stem anatomy; seven principles of dendrochronology; analytical techniques for standardizing tree-ring series and developing chronologies; cross-dating; and tree growth-climate relationships.Manditory field labs (2).
2 credits. Fall semester.

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Last Updated by E.Bevilacqua 1/17/01