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131 - 140 of 628 results for: Medicine

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 260: Masters Laboratory Animal Science Practicum/Laboratory Research

Research laboratory and clinical service (pathology, diagnostic laboratory, surgery, husbandry, anesthesiology, aquatics, facility business and management, etc.), quarterly rotations for students enrolled in the Master's of Laboratory Animal Science program. The objective of this course is to provide students with hands on experience in research laboratories using animal models and to provide experience working in the daily operations of a large, veterinary service center. Fulfills the practicum and research requirements of MLAS students.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit

COMPMED 290: MLAS Career Development

Focus is on career development for graduate students and trainees enrolled in a trainee program in the Department of Comparative Medicine. Seminar topics include career pathways in laboratory animal science, resume preparation, manuscript preparation and authorship, life in academics, life in industry and biopharma, regulatory agencies, veterinary and medical school. Speakers include faculty, speakers from industry and pharmaceutical companies, veterinary school and medical school graduates, regulatory and compliance professionals, research scientists, and animal research program/laboratory managers. Students may choose to shadow veterinary clinical faculty or rotate through basic science laboratory, by special arrangement. The objective is to introduce students to the multiple career pathways available to individuals with advanced training in laboratory animal science. May be taken up to six quarters.
Terms: Aut, Win, Spr | Units: 1-6 | Repeatable for credit

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

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

CS 102: Big Data: Tools and Techniques, Discoveries and Pitfalls

Terms: Aut, Spr | Units: 3-4 | UG Reqs: WAY-AQR

CS 231N: Convolutional Neural Networks for Visual Recognition

Computer Vision has become ubiquitous in our society, with applications innsearch, image understanding, apps, mapping, medicine, drones, andnself-driving cars. Core to many of these applications are the tasks of image classification, localization and detection. This course is a deep dive into details of neural network architectures with a focus on learning end-to-end models for these tasks, particularly image classification. During the 10-week course, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision. The final assignment will involve training a multi-million parameter convolutional neural network and applying it on the largest image classification dataset (ImageNet). We will focus on teaching how to set up the problem of image recognition, the learning algorithms (e.g. backpropagation), practical engineering tricks for training and fine-tuning the networks and guide the students through hands-on assignments and a final course project. Much of the background and materials of this course will be drawn from the ImageNet Challenge: http://image-net.org/challenges/LSVRC/2014/index. Prerequisites: Proficiency in Python; familiarity with C/C++; CS 131 and CS 229 or equivalents; Math 21 or equivalent, linear algebra.
Terms: Spr | Units: 3-4

CS 275: Translational Bioinformatics (BIOE 217, BIOMEDIN 217, GENE 217)

Computational methods for the translation of biomedical data into diagnostic, prognostic, and therapeutic applications in medicine. Topics: multi-scale omics data generation and analysis, utility and limitations of public biomedical resources, machine learning and data mining, issues and opportunities in drug discovery, and mobile/digital health solutions. Case studies and course project. Prerequisites: programming ability at the level of CS 106A and familiarity with biology and statistics.
Terms: Win | Units: 4
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