Teaching

ENT 4251, Forest & Shade Tree Entomology (3 credits; Every Fall Semester)

I teach this course every fall [Moodle site for registered students ]. The audience is primarily senior undergraduate students, with backgrounds in forestry, horticulture, geography.... and english, art history, computer science.... what fun! The course has something to offer everyone, even if totally new to the world of six-legged critters.

Course Description

Is that stately ash in front of your grandparents' house scheduled for removal? Is your Christmas tree turning red instead of staying green? Is the forest from those great photos on your vacation out west in danger of going up in flames? Forest ecologists, urban and woodland foresters, horticulturalists, arborists, and resource managers face challenging yet essential tasks in being able to identify, diagnose, and manage insect challenges associated with trees. The number of invasive species, and multi-species complexes, is increasing every year. The course emphasizes the identification, biology, and diagnosis of insect-caused damage associated with forest and shade trees, and examines the range of management options available, from the very simple and isolated to the very complex and widespread.

No previous experience with insects is required.

Ent 5920, Spatial & Temporal Analysis (Back in Jan 2016!)

Lectures: Tues and Thurs, 8:45-10am 415 Alderman Hall
Lab: Thurs 10am-noon, 35 Skok Hall
Office hours: Mondays 1-2 pm
Office location: 432A Hodson Hall
Phone:624-1847
Email: BrianAukema@umn.edu

This course is offered spring of even years (upcoming Spring semester 2016!) [Moodle site for registered students]. Spatial and temporal statistics continues to be one of the fastest developing areas of statistics. We'll start with a brief refresher on data management and linear models (regression and ANOVA), then touch on temporal data and the three major areas of spatial statistics (spatial point processes, lattice data, and geostatistics). Lectures will be accompanied by lab exercises so that students will leave the course armed with both a toolkit of methodologies appropriate for their thesis data and conversation starters at parties.

I teach this as an applied course. I recognize not every student (or faculty!) is comfortable with calculus. We'll pay careful attention to evaluation of statistical assumptions, diagnostic work, and best practices. The course will consist of two 1-hour weekly lectures and a 2-hour hands-on laboratory component.

Enrollment will be capped at 24 students. Registration is currently open.

Questions? See Frequently Asked Questions and comments from previous students.

Other Courses

I have taught courses in both ecology and statistics. Since 2006, including tenure as an adjunct faculty member at UNBC in British Columbia, I have taught

  • BIOL 325 (Undergraduate): Ecological Analyses
  • NRES 705 (Graduate): Research Design and Methods
  • NRES 798 (Graduate): Applied Linear Models in Ecology (2x)
  • NRES 712 (Graduate): Spatial and Temporal Analyses

as well as a number of independent study or thesis projects for undergraduates.