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1 - 10 of 27 results for: IMMUNOL

IMMUNOL 199: Undergraduate Research

Presentations and discussions focus on how current research has progressed from the classic findings in Immunology. This third course in the Immunology core curriculum develops effective presentation skills that are appropriate for a given audience and situation. Students will gain experience in developing and presenting chalk talks, formal presentations, and the all-important elevator pitch on current research. Students will benefit from peer, TA and instructor feedback on all presentations.
Terms: Aut, Win, Spr, Sum | Units: 1-18 | Repeatable for credit | Grading: Letter or Credit/No Credit
Instructors: Alizadeh, A. (PI) ; Arvin, A. (PI) ; Bendall, S. (PI) ; Blish, C. (PI) ; Bollyky, P. (PI) ; Boothroyd, J. (PI) ; Boyd, S. (PI) ; Butcher, E. (PI) ; Butte, A. (PI) ; Butte, M. (PI) ; Chen, C. (PI) ; Chien, Y. (PI) ; Chu, G. (PI) ; Cleary, M. (PI) ; Contag, C. (PI) ; Crabtree, G. (PI) ; Davis, M. (PI) ; Dhabhar, F. (PI) ; Engleman, E. (PI) ; Fathman, C. (PI) ; Felsher, D. (PI) ; Fire, A. (PI) ; Fontaine, M. (PI) ; Galli, S. (PI) ; Garcia, C. (PI) ; Goronzy, J. (PI) ; Habtezion, A. (PI) ; Han, M. (PI) ; Herzenberg, L. (PI) ; Herzenberg, L. (PI) ; Hsieh, M. (PI) ; Idoyaga, J. (PI) ; Jardetzky, T. (PI) ; Jones, P. (PI) ; Khatri, P. (PI) ; Kim, P. (PI) ; Kirkegaard, K. (PI) ; Kohrt, H. (PI) ; Krams, S. (PI) ; Kuo, C. (PI) ; Lee, P. (PI) ; Levy, R. (PI) ; Levy, S. (PI) ; Lewis, D. (PI) ; Lewis, R. (PI) ; Mackall, C. (PI) ; Maecker, H. (PI) ; Majeti, R. (PI) ; Mallick, P. (PI) ; Martinez, O. (PI) ; McDevitt, H. (PI) ; Mellins, E. (PI) ; Meyer, E. (PI) ; Michie, S. (PI) ; Mignot, E. (PI) ; Miklos, D. (PI) ; Monack, D. (PI) ; Nadeau, K. (PI) ; Nayak, J. (PI) ; Negrin, R. (PI) ; Nicolls, M. (PI) ; Nolan, G. (PI) ; Palmer, T. (PI) ; Parham, P. (PI) ; Quake, S. (PI) ; Robinson, B. (PI) ; Roncarolo, M. (PI) ; Sarwal, M. (PI) ; Schneider, D. (PI) ; Shafer, R. (PI) ; Shizuru, J. (PI) ; Snyder, M. (PI) ; Sobel, R. (PI) ; Steinman, L. (PI) ; Strober, S. (PI) ; Sunwoo, J. (PI) ; Utz, P. (PI) ; Weissman, I. (PI) ; Weyand, C. (PI) ; Winslow, M. (PI) ; Wu, J. (PI) ; Wu, J. (PI) ; Wyss-Coray, T. (PI)

IMMUNOL 201: Advanced Immunology I (MI 211)

For graduate students, medical students and undergraduates. Topics include the innate and adaptive immune systems; genetics and function of immune cells and molecules; lymphocyte activation and regulation of immune responses. Recommended: undergraduate course in immunology.
Terms: Win | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)

IMMUNOL 202: Advanced Immunology II (MCP 202)

Readings of immunological literature. Classic problems and emerging areas based on primary literature. Student and faculty presentations. Prerequisite: IMMUNOL 201/ MI 211.
Terms: Spr | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)

IMMUNOL 203: Advanced Immunology III

Key experiments and papers in immunology. Course focuses on the history of Immunology and how current research fits into the historical context. Students work on developing effective presentation skills.
Terms: Sum | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Krams, S. (PI)

IMMUNOL 204: Innate Immunology (MI 104, 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.
Terms: not given this year | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)

IMMUNOL 205: Immunology in Health and Disease

Concepts and application of adaptive and innate immunology and the role of the immune system in human diseases. Case presentations of diseases including autoimmune diseases, infectious disease and vaccination, hematopoietic and solid organ transplantation, genetic and acquired immunodeficiencies, hypersensitivity reactions, and allergic diseases. Problem sets based on lectures and current clinical literature. Laboratory in acute and chronic inflammation.
Terms: Win | Units: 4 | Grading: Medical Option (Med-Ltr-CR/NC)

IMMUNOL 206: Introduction to Applied Computational Tools in Immunology

Introduction to computational tools for analyses of immunological data sets, including but not limited to single-cell data such as that from flow cytometry of CyTOF, as well as genomic anlayses. Students become familiar with major web-based databases and analysis suites for immunological and genomic data; gain a working knowledge of the major software/algorithms for working with major data types, and be able to apply at least one computational tool in these areas to analyze a public data set. Students taking the course for 2 units will complete a computational analysis project and present it to the class.
Terms: Win | Units: 1-2 | Grading: Medical Option (Med-Ltr-CR/NC)
Instructors: Maecker, H. (PI)

IMMUNOL 206B: Directed Projects in Systems and Computational Immunology

Independent and team grant proposals, developed in Immunol 206A, will continue on as projects and contribute to ongoing research. Number of units assigned dependent upon the difficulty of and time spent on the project. May be repeated for credit.
Terms: not given this year | Units: 3-10 | Repeatable for credit | Grading: Medical Option (Med-Ltr-CR/NC)

IMMUNOL 207: Essential Methods in Computational and Systems Immunology

Introduction to the major underpinnings of systems immunology: first principles of development of computational approaches to immunological questions and research; details of the algorithms and statistical principles underlying commonly used tools; aspects of study design and analysis of data sets. Prerequisites: CS106a and CS161 strongly recommended.
Terms: Spr | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)

IMMUNOL 208: Advanced Computational and Systems Immunology

Focus is on first principles and methods of advanced computational and systems immunology that are used in the analysis of protein and nucleic acid sequences, protein structures, and immunological processes. Students learn to write computational algorithms for sequence alignment, motif finding, expression array analysis, structural modeling, structure design and prediction, and network analysis and modeling. Students become familiar with the technologies used in CSI, which include dynamic programming, Markov and hidden Markov models, Bayesian networks, clustering methods, and energy minimization approaches. Designed for students with strong foundations in either immunology or computer science . Prerequisites: lmmunol 207, CS 109 and CS 161.
Terms: not given this year | Units: 3 | Grading: Medical Option (Med-Ltr-CR/NC)
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