College of Agricultural, Food and Environmental SciencesDepartment of EntomologyUniversity of Minnesota, Twin Cities Campus

Entomology Courses On-Line


These courses have web sites as an enhancement to the course, they are not taught entirely on-line:

Ent 4015. Ornamentals and Turf Entomology. Diagnosis and management of insect pests in landscape plants. Emphasis on the principles of biological control, biorational pesticides, and integrated pest management.

Ent 4251 Forest and Shade Tree Entomology. Lectures and lab concerning biology, impact and management of forest and shade tree insects, with emphasis on predisposing factors and integrated control.

Ent 5011 Insect Structure and Function

Ent 5021 Insect Taxonomy and Phylogeny. This course covers evolution, classification, identification of orders and families of adult insects. The objectives are: 1. To familiarize the student with the characteristics used in the identification of adult insects to a family. 2. To familiarize the student with the evolution and classification of the insect orders. 3. To familiarize the student with the techniques of collecting and curating insects and with reconstructing phylogenies.

Ent 5045 Insect Population Dynamics

Ent 5051 Scientific Illustration of Insects, Lecture and studio intended for any student in the natural sciences of humanities interested in scientific illustration. While the focus will be on technical illustration of insects, students need no prior backtround in entomology, but only and interset and appreciation for natural history and the arts.

Ent 5211 Insect Pest Management. Prevention or suppression of injurious insects by comprehensive and coordinated integration of multiple control tactics, e.g., chemical, biological, cultural. Strategies to optimize dynamic integration of control methodologies in context of their economic, environmental, and social consequences.

Ent 5311 Sampling Biological Populations. Sampling plans for study of field and lab populations. Statistical distributions, and techniques for detecting and coping with aggregation. Randomization, required sample size, optimal allocations for common probability design. Sequential plans for making decisions.


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Last Revised: Monday, January 26, 2004

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College of Agricultural, Food and Environmental SciencesUniversity of Minnesota Twin Cities CampusDept of EntomologyReturn to Graduate Program page