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21 - 27 of 27 results for: MI

MI 802: TGR PhD Dissertation

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit

MI 104: Innate Immunology (IMMUNOL 204, MI 204)

Innate immune mechanisms as the only defenses used by the majority of multicellular organisms. Topics include Toll signaling, NK cells, complement, antimicrobial peptides, phagocytes, neuroimmunity, community responses to infection, and the role of native flora in immunity. How microbes induce and defeat innate immune reactions, including examples from vertebrates, invertebrates, and plants.

MI 120: Bacteria in Health and Disease (BIO 120)

Enrollment limited to junior and senior undergraduates, graduate students and medical students. Introduces students to the bacteria that live in and on humans and, in some cases, can cause disease and sometimes death. Topics include the biology of the interaction of the simple microbe with complex human biology and the factors that determine whether or not we coexist relatively peacefully, suffer from overt disease, or succumb to the bacterial onslaught.

MI 204: Innate Immunology (IMMUNOL 204, MI 104)

Innate immune mechanisms as the only defenses used by the majority of multicellular organisms. Topics include Toll signaling, NK cells, complement, antimicrobial peptides, phagocytes, neuroimmunity, community responses to infection, and the role of native flora in immunity. How microbes induce and defeat innate immune reactions, including examples from vertebrates, invertebrates, and plants.

MI 215: Principles of Biological Technologies (IMMUNOL 215)

The principles underlying novel as well as commonly utilized techniques to answer biological questions. Lectures and primary literature critiques on topics such as fluorescence microscopy, including applications such as FRET and single-cell analysis; human and murine genetic analysis; FACS; proteomics and analysis of noncoding RNAs. Class participation is emphasized. Prerequisite: biochemistry. Required of first-year graduate students in Microbiology and Immunology and the Immunology program.

MI 245: Computational Modeling of Microbial Communities (BIOE 115)

Provides biologists with basic computational tools and knowledge to confront large datasets in a quantitative manner. Students learn basic programming skills focused on Matlab, but also are introduced to Perl and Python. Topics include: image analysis, bioinformatics algorithms, reaction diffusion modeling, Monte Carlo algorithms, and population dynamics. Students apply computational skills to a miniature research project studying the human gut microbiota.
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