Prerequisites:
01:119:117 or 01:119:102 AND Genetics 01:447:380 or Genetic Analysis I 01:447:384.
Completion of a course in basic statistics is recommended.
Course Description
A laboratory that focuses on analysis and interpretation of genetic information. This is a computational lab, in that all genetic data are either by hand or computer simulation. Subjects include genetic-models for, and analysis of data generated from Mendelian inheritance. Specifically, we consider dominant, recessive, and sex-linked modes of inheritance. Data analyses consist primarily of goodness of fit tests applied to data to determine the correct inheritance patterns. There are additional labs on infectious disease, and Hardy-Weinberg Equilibrium.
Course Syllabus
Spring 2024 Syllabus (Subject to change)
Course URL
Canvas
Course Satisfies Departmental Learning Goals
This course enables students to learn about fundamental genetic models through data analysis. Students will gain experience applying statistical tests to observed data, and draw conclusions about rejecting or not rejecting a null hypothesis based on the results.
Exams, Assignments, and Grading Policy
- Assignments
- Quizzes
- Discussion forums
- Participation
- Cumulative final exam
A fuller description of the assessments, including grading policy, are provided in the syllabus, available during the first week of the course.
Course Materials
All course material is provided lab-specific slide shows or information from external websites like the National Human Genome Research Institute.
Course Closed?
No special permission numbers will be administered for this course. If the course is closed, you should continue to check WebReg for openings.
Faculty
Elizabeth Rosenzweig
E-mail:
** All information is subject to change at the discretion of the course coordinator.
