Courses
Saint Mary's College Courses
Please contact me for current syllabi or class activities.
BIOL 202: Introductory Biology for Majors: Organisms and Evolution
Undergraduate lower division course that systematically introduces the form, function, evolutionary origins and phylogenetic relationships of all forms of life. Through the comparative study of the molecular evidence, morphology, physiology, development, and behavior of organisms the course provides a broad understanding of how life on Earth evolved.
BIOL 302: General Ecology
Undergraduate upper division survey of all major disciplines of ecology with a focus on California ecosystems, scientific writing and quantitative reasoning. The course is designed to encourage students to think about general ecological concepts and processes and their application to real situations.
BIOL 330: General Botany
Undergraduate upper division survey of plant diversity, anatomy and and physiology. The course includes hands-on lab activities and a final research project on the phenology of California buckeye trees on SMC campus.
BIOL 353: Macrosystems Biology
Undergraduate upper division course that studies the biosphere from regional to continental scales. Lecture and seminars focus on the field of biogeography from a modern and historical perspective. Computational lab activities and research prepare students for further study in data-intensive fields, such as bioinformatics or ecoinformatics.
Former Courses
Stanford University
BIO 46: Research in Ecology with Lichens
Undergraduate students studied microorganisms living in two common California lichens (Ramalina menziesii and Evernia prunastri) and examined relationships between the abiotic environment, lichen physical traits, algal symbionts, endolichenic fungi and a lichenicolous (parasitic) fungus (Unguiculariopsis lettaui).
Winter 2018: Syllabus and Learning Objectives, and R Lessons
Winter 2017: Syllabus, Learning Objectives, and R Lessons
BIO 202: Ecological Statistics
Graduate seminar on modern statistical tools and data analysis R. See course website.