Course TopicsAcross all disciplines, the ability to test theories by experimentation is vital for validation and discovery. When designing an experiment, the researcher hopes to maximize the obtained ...

The planning, conduct and analysis of scientific experiments, using examples from chemical, biological, genomic, and engineering sciences. Manipulation and visualisation of experimental data; ...

In analysis of variance, experiments are so designed, or observations are so collected, that the data permit separation of the total variability into its parts. By comparing the separate variances, it ...

Introduction to Scientific Analysis. The following concepts are addressed in this course: Anatomy of scientific literature, reading and writing scientific papers, proper citation formats, basic ...

This protocol describes how to set up arrayed and pooled CRISPR genome-editing experiments. It describes the design of sgRNAs using CRISPOR, the wet-lab implementations, and analysis of the ...

The experiment consists of a set of model runs; the design of the experiment specifies the choice of program inputs for each run. This paper demonstrates two applications of a Bayesian method for the ...