IPHY 2800 - Introduction to Statistics
Primary Instructor
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Spring 2018 / Fall 2018 / Spring 2019 / Fall 2019 / Spring 2020
Examines the application of statistics to research relevant to integrative physiology. Includes instruction and hands-on experience with related computer programs and interpretation of the results of their use. Recommended prerequisite: MATH 1300.
IPHY 3280 - Intro to Data Science and Biostatistics
Primary Instructor
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Fall 2020 / Spring 2021 / Spring 2022
Builds a foundation for modern data analysis and experimental design in the context of human physiology, health and disease. An intuitive understanding of probability, statistical methods, test outcomes and data relationships are emphasized over rigorous mathematical proofs. Foundational analytical skills using R and R Studio are developed using real and simulated data.
IPHY 3700 - Scientific Writing in Integrative Physiology
Secondary Instructor
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Spring 2021
Takes a process-based approach to writing. Assignments and classroom experiences emphasize critical thinking, using scientific evidence and reasoning to construct original arguments, and applying conventions and problem-solving skills to craft successful documents. Recommended prerequisite: Statistics course (IPHY 3280 or EBIO 1010 or MATH 2510 or PSYC 2111 or SOCY 2061).
IPHY 4880 - Advanced Data Analysis in Biomedical Research
Primary Instructor
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Spring 2019 / Spring 2020
Provides advanced training on statistics and scientific reasoning in laboratory and clinical research. Conceptual foundations of classical and modern statistical techniques is reviewed. Multiple class projects consist of written reports on statistical analysis of data representative of the student's field of interest. The use of statistical packages, primarily R, is required. Same as IPHY 5880.
IPHY 5880 - Advanced Data Analysis in Biomedical Research
Primary Instructor
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Spring 2019 / Spring 2020
Provides advanced training on statistics and scientific reasoning in laboratory and clinical research. Conceptual foundations of classical and modern statistical techniques is reviewed. Multiple class projects consist of written reports on statistical analysis of data representative of the student's field of interest. The use of statistical packages, primarily R, is required. Same as IPHY 4880.
