Courses tagged with "Information networks" (3)

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Starts : 2005-09-01
16 votes
MIT OpenCourseWare (OCW) Free Life Sciences Infor Information environments Information networks Information Theory Nutrition

An advanced course covering anatomical, physiological, behavioral, and computational studies of the central nervous system relevant to speech and hearing. Students learn primarily by discussions of scientific papers on topics of current interest. Recent topics include cell types and neural circuits in the auditory brainstem, organization and processing in the auditory cortex, auditory reflexes and descending systems, functional imaging of the human auditory system, quantitative methods for relating neural responses to behavior, speech motor control, cortical representation of language, and auditory learning in songbirds.

Starts : 2005-09-01
14 votes
MIT OpenCourseWare (OCW) Free Life Sciences Infor Information environments Information networks Information Theory Nutrition

This course covers cells and tissues of the immune system, lymphocyte development, the structure and function of antigen receptors, the cell biology of antigen processing and presentation, including molecular structure and assembly of MHC molecules, the biology of cytokines, leukocyte-endothelial interactions, and the pathogenesis of immunologically mediated diseases. The course is structured as a series of lectures and tutorials in which clinical cases are discussed with faculty tutors.

Lecturers

Frederick W. Alt

Marcus Altfeld

Paul Anderson

Jon C. Aster

Hugh Auchincloss

Steven P. Balk

Samuel M. Behar

Richard S. Blumberg

Francisco Bonilla

Bobby Cherayil

Benjamin Davis

David Hafler

Nir Harcohen

Bruce Horwitz

David M. Lee

Andrew Lichtman

Diane Mathis

Richard Mitchell

Hidde Ploegh

Emmett Schmidt

Arlene Sharpe

Megan Sykes

Shannon Turley

Dale T. Umetsu

Ulrich von Andrian

Bruce Walker

Kai Wucherpfennig

Ramnik Xavier

Sarah Henrickson



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Starts : 2002-09-01
13 votes
MIT OpenCourseWare (OCW) Free Computer Sciences Infor Information environments Information networks Information Theory Nutrition

This course introduces abstraction as an important mechanism for problem decomposition and solution formulation in the biomedical domain, and examines computer representation, storage, retrieval, and manipulation of biomedical data. As part of the course, we will briefly examine the effect of programming paradigm choice on problem-solving approaches, and introduce data structures and algorithms. We will also examine knowledge representation schemes for capturing biomedical domain complexity and principles of data modeling for efficient storage and retrieval. The final project involves building a medical information system that encompasses the different concepts taught in the course.

Computer science basics covered in the first part of the course are integral to understanding topics covered in the latter part, and for completing the assigned homework.

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