Courses Taught
Plant Ecology(Biology 5540, 5540L, graduate level)
The objective of this course is to provide an overview of the field of plant ecology. Topics covered include plant population biology (population structure, growth, regulation, demography, life history patterns, and population genetics), species interactions, plant-environment interactions, and community structure (sampling methods, classification and ordination, succession, productivity, major vegetation types of North America). Investigations will take place in the field and in the laboratory.
Plant Physiology (biology 4120, 412L)
This course provides an introduction to plant physiology. Topics covered in lecture and laboratories include relevant cellular chemistry, water relations, mineral nutrition, substance transport mechanisms, hormonal effects, and various metabolic reactions such as photosynthesis, respiration, and photorespiration in plants.
General Biology (two semesters) is a broad introduction to the field of biology. The course provides both a conceptual and factual foundation for biological investigation, interpretation, and understanding.
Biology 1010 and 101L cover the following topics: relevant chemistry, cellular structure and functions, animal and plant metabolic processes (cellular respiration, fermentation, photosynthesis), genetics, evolutionary thought, and ecology (population biology, community interactions, ecosystems, environmental concerns, and behavior).
Biology 1020 and 102L cover the following topics: the diversity of life through a phylogenetic survey of the major kingdoms, plant structure and life processes, and animal systems and life processes.
Biostatistics (biology 5100, 510L, graduate level)
The objective of this course is to provide a basic introduction to data analysis and the use of inferential statistics in biology (and science in general). Both graphical and formula-based methods of data analysis will be utilized. The emphasis will be on students gaining an appreciation of the importance of proper experimental design and appropriate statistical analysis, while gaining experience with the JMP IN statistical software, rather than with the derivation and memorization of many formulas. Topics covered include basic descriptive statistics, hypothesis testing, frequency distributions and analyses, analysis of variance, linear regression, correlation, nonparametric analogues to the parametric methods, with a brief survey of selected multivariate analyses, statistical resampling methods, and data reduction techniques.
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