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2005-06 - Office of the Registrar - Duke University

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207S. Vergil's Aeneid<br />

240. Medieval and Renaissance Astrology<br />

Cognitive Neuroscience<br />

The Center for Cognitive Neuroscience (CCN) <strong>of</strong>fers two main options for graduate<br />

training in cognitive neuroscience: an Interdisciplinary Training Program for Graduate<br />

Study in Cognitive Neuroscience and a Graduate Certificate Program in Cognitive<br />

Neuroscience.<br />

The interdisciplinary training program is designed for students interested in an approach<br />

to cognitive neuroscience that integrates ideas and techniques across different aspects <strong>of</strong> this<br />

rapidly growing field. The key feature <strong>of</strong> <strong>the</strong> training program is that after two years <strong>of</strong><br />

course work and laboratory rotations that provide a general training in cognitive<br />

neuroscience, students select two advisors for <strong>the</strong>ir <strong>the</strong>sis research who have expertise in <strong>the</strong><br />

different subdisciplines that best define <strong>the</strong>ir interests (e.g., cognition and perception, <strong>the</strong><br />

neurobiological bases <strong>of</strong> behavior, brain imaging techniques, electrical recording methods,<br />

psychology and psychophysics, philosophy <strong>of</strong> mind, neuroengineering approaches,<br />

computational and <strong>the</strong>oretical modeling or o<strong>the</strong>r relevant fields). Students enrolled in <strong>the</strong><br />

program will gain a thorough understanding <strong>of</strong> <strong>the</strong> intellectual issues that drive this rapidly<br />

growing field, as well as expertise in <strong>the</strong> major methods used in cognitive brain research.<br />

The certificate program is designed for students interested in working primarily within<br />

a subdiscipline <strong>of</strong> cognitive neuroscience that is represented by a particular department. In<br />

addition to <strong>the</strong> curricular requirements <strong>of</strong> <strong>the</strong>ir home department, students in <strong>the</strong> certificate<br />

program complete a year-long core course in cognitive neuroscience, as well as participating<br />

in relevant seminars and journal clubs. To participate in <strong>the</strong> certificate program, students<br />

must first be admitted to one <strong>of</strong> <strong>the</strong> participating departments. Information regarding<br />

application to each <strong>of</strong> <strong>the</strong> relevant departments can be found on <strong>the</strong>ir respective websites:<br />

Psychological and Brain Sciences, Neurobiology, Philosophy, Computer Science, and<br />

Biomedical Engineering.<br />

For additional information and updated instructions, please visit our website at http:/<br />

/www.mind.duke.edu, or send an email to darcylew@duke.edu.<br />

Computational Science, Engineering amd Medicine (CSEM)<br />

Pr<strong>of</strong>essor Harer, Director<br />

The graduate certificate program in Computational Science, Engineering and Medicine<br />

(CSEM) facilitates interdisciplinary training in <strong>the</strong> use <strong>of</strong> modern computational techniques<br />

in <strong>the</strong> conduct <strong>of</strong> research. This broad charter encompasses algorithmic, numerical, and<br />

implementation issues. The program is designed for Ph.D. students who have been admitted<br />

to one <strong>of</strong> <strong>the</strong> participating departments, though applications from terminal M.S. students<br />

who are pursuing a <strong>the</strong>sis option will be considered. Students will be expected to take credit<br />

for three CSEM courses. Additionally, some component <strong>of</strong> a student’s dissertation or <strong>the</strong>sis<br />

research is expected to involve significant computation, and at least one member <strong>of</strong> <strong>the</strong><br />

CSEM-affiliated faculty should serve on <strong>the</strong> student’s dissertation or <strong>the</strong>sis committee. For<br />

more information, see <strong>the</strong> CSEM Web site at http://www.csem.duke.edu<br />

Computer Science (COMPSCI)<br />

Pr<strong>of</strong>essor Agarwal, Chair (315 Levine Science Research Center); Associate Pr<strong>of</strong>essor <strong>of</strong> <strong>the</strong><br />

Practice Lucic, Associate Chair (D310 LSRC); Associate Pr<strong>of</strong>essor Chase, Director <strong>of</strong><br />

Graduate Studies (D3<strong>06</strong> LSRC); Pr<strong>of</strong>essors Behringer, Edelsbrunner, Ellis, Harer, Marinos,<br />

Palmer, Reif, Rose, Tomasi, and Trivedi; Associate Pr<strong>of</strong>essors Arge, Board, Henriquez,<br />

Kedem, Lebeck, Sun, and Wagner; Assistant Pr<strong>of</strong>essors Dwyer, Hartemink, Munagala,<br />

Ohler, Parr, Sorin, and Yang; Pr<strong>of</strong>essors Emeriti Biermann, Gallie, Loveland, Patrick, and<br />

Starmer; Pr<strong>of</strong>essor <strong>of</strong> <strong>the</strong> Practice Astrachan; Associate Pr<strong>of</strong>essors <strong>of</strong> <strong>the</strong> Practice Ramm<br />

and Rodger; Assistant Pr<strong>of</strong>essor <strong>of</strong> <strong>the</strong> Practice Forbes; Associate Research Pr<strong>of</strong>essor<br />

LaBean; Assistant Research Pr<strong>of</strong>essor Furey; Adjunct Pr<strong>of</strong>essors Gentzsch, Reed, and<br />

100 Courses and Academic Programs

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