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Teaching

/Teaching
Teaching 2017-10-04T14:45:16+00:00

Resources

Kai’s office hours in Fall 2017

Avoiding plagiarism handout from Greg Gilbert and Ingrid Parker

Design and Analysis of Biological Experiments

EBIO 338, Fall 2016, Rice University

This course addresses how to set up and how to draw conclusions from biological experiments. It introduces basic theories in statistics, interwoven with data analysis using software packages. Students will learn to design statistically sound data collection in observational or experimental studies. To answer given research questions, students will choose among modern statistical tools and analyze data using software. Students will also learn to effectively present results using statistical graphics. This class particularly focuses on ecological and environmental data.

The general learning outcomes include (1) understand the foundations of statistical analysis, such as parameter estimation and hypothesis testing; (2) master basic R programming, data management, and visualization; and (3) apply classical and modern statistical tools, such as ANOVA, linear regression, to solve biological problems.

Zhu Lab Jasper Ridge