INTBP 2013 - D2K: FROM DATA TO KNOWLEDGE- BIOMEDICAL EXPERIMENTAL DESIGN AND ANALYSIS
Minimum Credits: 3
Maximum Credits: 3
Experimental biologists formulate hypotheses and models, design experiments, collect data and conduct analyses to draw conclusions. Deep understanding on biological principles requires D2K- the translation of data into knowledge that transcends first-order conclusions. This course for first year Ph.D. students in the biomedical sciences will examine basic principles of experimental design, together with measurement and sources of experimental error. The course will provide practical ‘hands on’ introduction to the quantitative tools required for experimental research using cellular, molecular, and systems based methods. Topics will include: goals of experimental design, making measurements, principles or parametric and non-parametric statistical inference, use of MS excel, graphpad prism and R, design of publication graphics and a brief introduction to big data approaches. Students will work in small groups to construct capstone projects by making ‘you tube’ style videos to illustrate key principles of experimental design and analysis.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Click here for class schedule information.
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