General Genetics Lab

Various classical and molecular genetic techniques using various prokaryotic and eukaryotic systems such as bacteria, yeast, plants, and humans. The lab exercises will be largely inquiry based with a focus on experimental design. Laboratory projects include genetic crosses, analysis of the genotype/phenotype relationship, complementation, linkage mapping, and detection of DNA polymorphisms. Also, bioinformatics tools will be used to perform SNP analysis and analyze sequence similarity.

General Genetics Lab

Various classical and molecular genetic techniques using various prokaryotic and eukaryotic systems such as bacteria, yeast, plants, and humans. The lab exercises will be largely inquiry based with a focus on experimental design. Laboratory projects include genetic crosses, analysis of the genotype/phenotype relationship, complementation, linkage mapping, and detection of DNA polymorphisms. Also, bioinformatics tools will be used to perform SNP analysis and analyze sequence similarity.

Evolut:Diversity Life-thruTime

We will investigate the process of biological evolution and the evolutionary history of life on Earth. Topics to be covered include natural selection, speciation (the formation of new species), and other causes of evolutionary change; the methods that evolutionary biologists use to investigate evolutionary processes and history; and an overview of life's history, focusing on major evolutionary innovations and transitions.

Quantitative Systems Biology

Quantitative Systems Biology, applies the theme of modeling and hands-on experimentation to core concepts in evolution, physiology, and ecology. Cutting-edge research in each of these fields relies heavily on quantitative approaches to understand how organisms function, interact with their environments, and change over evolutionary time. This course uses a combination of lectures that integrate applied math and the study of organism-level systems and labs in which students use in silico, in vitro and in vivo models to investigate those systems in detail..

Quantitative Systems Biology

Quantitative Systems Biology, applies the theme of modeling and hands-on experimentation to core concepts in evolution, physiology, and ecology. Cutting-edge research in each of these fields relies heavily on quantitative approaches to understand how organisms function, interact with their environments, and change over evolutionary time. This course uses a combination of lectures that integrate applied math and the study of organism-level systems and labs in which students use in silico, in vitro and in vivo models to investigate those systems in detail..
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