Insects are incredibly diverse, fascinating, and relevant to basic and applied biological research and human society. This introductory course provides a broad and engaging overview of insect biology. Optional fields trips are offered in and around Phoenix, and lab sections focus on learning hands-on skills in insect preparation and identification.
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• 4 credits (Pre-Requisites BIO 181/2 or BIO 281/2)
• Lectures Monday & Wednesday, 9:00 am – 10:15 am
• Lab sections available Wednesday, Thursday, Friday (afternoons)
• Instructor Nico Franz (main lab office: LSA 129)
• Contact nico.franz @ asu.edu
• Website http://taxonbytes.org/
On July 3-4, 2014, a team including Neil Cobb (NAU), Katja Seltmann (AMNH), Nico Franz and Ed Gilbert (ASU) convened at Alameda to discuss plans to create a new Lepidoptera collections network (“LepNet”). Our main focus was to discuss use cases, workflows, and data schema models to represent “associations” of butterflies and moths in Symbiota. This would include the ability to submit searches by herbivore taxon (e.g., “Papilio indra“) and obtaining a list of associated plant taxa, based both on actual occurrence records stored in the network and in an “associations module” that can receive information published in various Symbiota-external sources.
We have a new collaborative paper out in Lecture Notes in Computer Science, with Mingmin Chen of UC Davis as lead author, on inconsistency checking and repair of conflicting concept articulations for the Euler/X toolkit. Complete citation:
Chen, M., S. Yu, N. Franz, S. Bowers & B. Ludäscher. 2014. A hybrid diagnosis approach combining Black-Box and White-Box reasoning. In: A. Bikakis et al. (Editors): RuleML 2014. Lecture Notes in Computer Science 8620: 127-141. Link to publication.