[Coral-List] International course on the "Quantitative Marine Ecology", Kasetsart University, Thailand

[Kelvin Dale Passfield]

The Department of Marine Science, Kasetsart University, is pleased to
announce the international course on the "Quantitative Marine Ecology".
This
course is for marine ecologists, researchers on biology and environmental
science, and graduate students. The course will be lectured by Prof. A.J.
Underwood and Dr. M.G. Chapman, University of Sydney. They are the authors
of "Experiments in ecology : their logical design and interpretation using
analysis of variance" and "Coastal Marine Ecology of Temperate Australia".

The course will cover the essential topics for the study on quantitative
marine ecology. Moreover, the participants will be encouraged to discuss
about their own data with the instructors during the course.

Registration fee is 500 US$ including lecture fee, accommodation (for 12
night), lunch and refreshment (for 9 meals) and for students, the fee is
430
US$ (sharing the room with another participant)

The deadline for registration is March 15, 2005.

For more information please contact : Dr. Chittima ARYUTHAKA, e-mail :
ffiscta at ku.ac.th, FAX : 66 - 2 - 5614287

International course on Quantitative Marine Ecology

Lectured by Prof. A.J. Underwood and Dr. M.G. Chapman

At Department of Marine Science, Kasetsart University

Bangkok, Thailand

>From 17th - 27th May 2005

General Framework of Topics to be Covered

  1.. Revisionary material
  Measurements, variables, populations, frequency distributions
  Parameters of location and dispersion
  Representative sampling; redefinition of the population when
representation is not possible
  Biased sampling
  Statistical estimates of samples
  Operational definition of degrees of freedom
  Mensurative null hypotheses, one and two-tailed tests
  Tests using the normal and t-distributions (Confidence Limits)
  General procedures for a statistical test
  Types I and II errors
  Comparison of locations of two populations

  Practical Exercises

  Sampling frequency distributions
  Theorem of Central Tendency
  Relationship between sample size and estimates of means,
  variances and standard errors
  The t-distribution - effect size, variance and sample size
  Random and stratified sampling
  2.. Analysis of Variance for comparisons of locations of more than 2
populations

  Logical and probabilistic needs for a novel procedure
  Algebraic partitioning of variance
  A linear model for one-factor
  Assumptions of independence, homogeneity of variances and normality
  Effects of violations of assumptions
  Standard transformations of biological variables
  Power of a one-factor analysis
  Multiple comparisons: a priori and a posteriori

  Practical Exercises

  Analyses of one-factor sets of data, involving tests of
  homogeneity of variances, transformations and multiple comparisons

  3.. Nested Analysis of Variance

  Confounding ("Pseudoreplication")
  Models for nested design
  Post hoc pooling
  Cost-benefit analysis and sampling design

  Practical Exercises

  Nested analyses and their interpretation
  4.. Factorial Analyses of Variance

  Orthogonal designs
  Efficiency and information content
  Interpretation of interactions
  Fixed and random factors
  Multiple comparisons

  Practical Exercises

  Factorial analyses with fixed and random factors and their
  interpretation
  Multiple comparisons
  5.. General Models: Experimental Design

  Typical biological experiments
  The General Linear Model
  Rules for Mean Square Estimates
  Interpretations, post hoc pooling
  Calculations of Sums of Squares
  Multiple comparisons

  Practical Exercises

  Mixed and nested orthogonal models and their interpretation
  Rules for constructing Mean Square Estimates
  Calculations of sums of squares from fully orthogonal designs

6. Correlations and Regressions

Differences between regression and correlation
Linear correlation
Rank correlation
Linear Least-squares regression
Partial linear regressions
One-Factor Analysis of Covariance (a sequence of 3 linear models)

Practical Exercises

Linear correlation
Linear regression
One factor Analysis of Covariance

  7.. Additional topics if there is sufficient time

If we manage to complete all of the above, we shall teach about modern
methods for detecting and analysing environmental impacts.

For more information please contact : Dr. Chittima ARYUTHAKA, e-mail :
ffiscta at ku.ac.th, FAX : 66 - 2 - 5614287

><>  ><> ><>  ><>   ><>   ><>   ><>   ><>   ><>    ><>    ><>
Kelvin Passfield
Expert, Fisheries
UNEP/GEF South China Sea Project Co-ordinating Unit
United Nations Building, 2nd floor, block B
Rajdamnern Ave, Bangkok 10200 Thailand
Tel. 66-2-2881116
Fax 66-2-2812428

Email:  passfield at un.org
Website http://www.unepscs.org