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GENETICS 807

QUANTITATIVE RESEARCH AND RIGOR IN GENETICS

2 credits.

Combines review of key statistical concepts needed for genetics research with discussions of contemporary debates and common pitfalls in the application of quantitative methods specific to genetics research. Use statistical software to explore and apply statistics to genetic inference, with an emphasis on computationally intensive methods, including group coding exercises and case studies of genetics problems. Engage with contemporary ideas around study design, transparency, rigor and reproducibility in genetics research.

Prerequisites & course information

Requisites: GENETICS 701 Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Learning Outcomes: 1. Articulate critical perspectives on statistical analysis of genetics data, including the selection of rigorous methods, and identify the potential strengths and weaknesses of alternative approaches. Audience: Graduate 2. Use statistical coding techniques and statistical software to analyze genetic data. Audience: Graduate 3. Discuss, report and critically evaluate quantitative genetic research results. Audience: Graduate 4. Describe the need for rigorous and reproducible genetic research approaches and develop best practices for their implementation in accordance with community and agency guidelines. Audience: Graduate Learning Outcomes: 1. Articulate critical perspectives on statistical analysis of genetics data, including the selection of rigorous methods, and identify the potential strengths and weaknesses of alternative approaches. Audience: Graduate 2. Use statistical coding techniques and statistical software to analyze genetic data. Audience: Graduate 3. Discuss, report and critically evaluate quantitative genetic research results. Audience: Graduate 4. Describe the need for rigorous and reproducible genetic research approaches and develop best practices for their implementation in accordance with community and agency guidelines. Audience: Graduate

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