Common Curriculum Offerings
Spring 2017 Offered
Deconstruction of Research. (3 credits) Deconstruction of Research is based on the premise that construction of new scientific knowledge builds from a foundation of primary evidence that requires critical evaluation through active analysis and productive discourse. Students will learn and understand the nature and development of scientific knowledge transmitted through oral and written avenues. Students will learn the necessary skills required for critical analysis of general concepts no matter how familiar or unfamiliar the topic.
- Troy Bankhead, PhD - Immunology and Infection Diseases, Paul G. Allen School for Global Animal Health
- Rita Fuchs Lokensgard, PhD - Integrative Physiology and Neuroscience
- Michael Konkel, PhD - School of Molecular Biosciences
- James Peters, PhD- Integrative Physiology and Neuroscience
- Steven Roberts, PhD - School of Molecular Biosciences
- Viveka Vadyvaloo, PhD - Immunology and Infection Diseases, Paul G. Allen School for Global Animal Health
Fall 2017 Scheduled
Deconstruction of Research. Check back for the announcement of faculty seminar presenters.
Spring 2018 Scheduled
Topics in Biomedical Experimentation. 1 credit (may be repeated). This course examines the philosophy of experimental design and practical application and analysis of various experimental approaches in biomedical research. Each section (module) is independent of other sections and is taught within a 5 week block. There are three consecutive blocks per semester. The first 5 week block is always Philosophy of Experimental Design and is required of students from programs participating in the iPBS umbrella.
Philosophy of Experimental Design: This course will help graduate students develop an understanding and the habits of mind regarding acquisition of new knowledge through examining the philosophy and principles of experimental design and analysis.
Analysis of Biomedical Experiments: This course will inform the student of common misapplications of statistics in biomedical experimentation. Emphasis is on probabilistic decision making in life science data analysis, matching experimental goals with the correct statistical approaches, and common pitfalls in analysis. This course will not substitute for courses that teach formal statistical methods and computation.
Check back for descriptions of one or two new modules.