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101 - 110 of 561 results for: Medicine

COMPMED 202: Training in Research and Biomethodology for Laboratory Animal Science

Emphasis is on providing introductory training and practical, hands-on workshops for students interested in learning more about research biomethodology and animal models of human and animal disease. Topics include basic care and principals guiding the use of research animals, animal health and welfare, and research animal enrichment, basic mouse handling, rodent breeding, and the principals of rodent surgery and anesthesia. Content delivered online and in-person.
Terms: Win, Spr, Sum | Units: 5 | Repeatable for credit

COMPMED 207: Comparative Brain Evolution (COMPMED 107)

Functional organization and evolution of the vertebrate nervous system. Topics include paleoneurology, cladistic analysis, allometry, mosaic versus concerted evolution, and evolution of brain region structure, connectivity, and neurons. Comparisons between structure and function of vertebrate forebrains including hippocampi. Evolution of the primate visual and sensorimotor central nervous system as related to vocalization, socialization, and intelligence.
Last offered: Autumn 2014

COMPMED 209: Laboratory Animal Medicine Seminar

Focuses on husbandry, care and diseases of laboratory animal species; experimental techniques; statistics; factors that influence animal research and behavior. Course content is divided into seminars over a two-year period. Department consent required for enrollment. May be repeated for credit.
Terms: Win, Spr, Sum | Units: 2 | Repeatable for credit
Instructors: Felt, S. (PI)

COMPMED 210: Introduction to Mouse Histopathology

Focus is on anatomy and histology (microscopic anatomy) of the entire mouse, proper instrument handling and dissection technique, proper tissue fixation, trimming and orientation in cassettes, identification of normal organ histology on H & E-stained slides using a light microscope, use of special stains, and digital image acquisition. Basic pathological processes (inflammation, necrosis, apoptosis, hyperplasia, cancer) and how these manifest in different organs comprises the pathology aspect of this course. Participants present the pathology of their lab's mouse models. Preference to graduate students working with mouse models. Dissection labs. Comfort with mouse handling and previous participation in VSC mouse handling and euthanasia workshops recommended.
Terms: Spr | Units: 3
Instructors: Bouley, D. (PI)

COMPMED 215: Synaptic Properties and Neuronal Circuits

Focus is on synapses and circuits in the central nervous system. Objective is to demonstrate how the specific properties of different synapses play a role in the function of neuronal circuits. The main types of synapses are covered, including both ionotropic and metabotropic-receptor-dependent synapses and their related circuits in the CNS. Lectures and student presentations. If taken for 3 units qualifies as a Core Course satisfying requirements in Cellular, Molecular & Developmental Neuroscience in the Neurosciences Graduate Program. Students enrolling for 3 units write an NIH-style proposal on a selected synapse, proposing a study of its properties and related function and presenting the proposal to the class for critique and discussion.
Last offered: Spring 2011

COMPMED 299: Directed Reading in Comparative Medicine

Prerequisite: consent of instructor. (Staff)
Terms: Aut, Win, Spr, Sum | Units: 1-18 | Repeatable for credit

COMPMED 370: Medical Scholars Research

Provides an opportunity for student and faculty interaction, as well as academic credit and financial support, to medical students who undertake original research. Enrollment is limited to students with approved projects.
Terms: Aut, Win, Spr, Sum | Units: 4-18 | Repeatable for credit

COMPMED 399: Graduate Research

Investigations sponsored by individual faculty members.Opportunities are available in comparative medicine and pathology, immuno-histochemistry, electron microscopy, molecular genetics, quantitative morphometry, neuroanatomy and neurophysiology of the hippocampus, pathogenesis of intestinal infections, immunopathology, biology of laboratory rodents, anesthesiology of laboratory animals, gene therapy of animal models of neurodegenerative diseases, and development and characterization of transgenic animal models. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum | Units: 1-18 | Repeatable for credit

COMPMED 801: TGR Project

| Repeatable for credit

CS 46N: Big Data, Big Discoveries, Big Fallacies

A sea change has occurred in science, technology, medicine, politics, and society as a whole: many of the world's biggest discoveries and decisions are now being made on the basis of analyzing massive data sets, referred to as "big data". Everyday examples include social-network friend recommendations, and weather predictions far more accurate than a decade ago; both use vast collections of data to model the past and predict the future. But it is surprisingly easy to come to false conclusions from data analysis alone. For example, we might conclude that acne medicine prevents heart attacks and strokes, if we forget to factor in the age of the patients. Privacy is a major concern: Target stores analyzed buying patterns to predict with remarkable accuracy which of their shoppers had just become pregnant, but trouble arose when they sent baby ads to the homes of pregnant teens whose parents weren't yet in the know. We will start by surveying the history of data-driven activities, leading up to the recent Big Data explosion. A variety of data analysis techniques will be covered, leading students to appreciate that even simple techniques can go a long way when the data set is large enough. Common stumbling blocks leading to false conclusions will be discussed, and students will be asked to debate the many issues surrounding privacy. In one project, students will see whose analysis techniques can best predict user movie ratings based on past rating behavior. A second project will be individually designed in an area of the student's choosing. The seminar will include a mix of assigned readings, small-scale investigations and assignments, classroom discussions, and two projects. No computer programming or special math skills are required; students will learn the basic techniques and tools they need to complete the data analysis assignments and projects.
Terms: Aut | Units: 3
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