NSO 512 Statistics in Neuroscience
This course will offer a thorough understanding of statistical methodology commonly used in neuroscience research. Topics will include a discussion of available statistical software packages, descriptive statistics, hypothesis testing, and applied statistical methods. The goal is to integrate a basic understanding of statistics and common neuroscience bench research to develop an ability to apply statistics to students’ research questions and understand appropriate statistical utilization in the literature. At the conclusion of the course, the student should have a broad exposure to statistical methodology in neuroscience research and fully understand how to choose appropriate statistical approaches for their own work and applications in order to use these tools in the student's own research, to learn and apply key concepts in Python and/or R to enable data analysis and visualization, and to choose and perform appropriate statistical or machine learning techniques for analyses of biomedical data and interpret their results. Students, in consultation with their program director and/or academic advisor, will identify a study plan to achieve these objectives. The study plan will be completed under the supervision of USU faculty, and the number of credits will be determined based on the scope and length of the plan.