2005-06 - Office of the Registrar - Duke University
2005-06 - Office of the Registrar - Duke University
2005-06 - Office of the Registrar - Duke University
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controversies in <strong>the</strong> discipline, how to prepare for a pr<strong>of</strong>essional career in sociology, <strong>the</strong><br />
ethics <strong>of</strong> doing sociological research, <strong>the</strong> practice <strong>of</strong> teaching, how to apply for research<br />
grants. Instructor: Staff. 1.5 units.<br />
302. Workshop on Sociological Research. A two-semester workshop in which each<br />
student carries out a research project from beginning to end. Weekly seminars <strong>of</strong>fer <strong>the</strong><br />
opportunity for students to critique each o<strong>the</strong>r's work. Instructor: Staff. 3 units.<br />
303. Developing a Dissertation Proposal. A two-semester workshop in which students<br />
develop <strong>the</strong>ir dissertation proposals. Instructor: Staff. 3 units.<br />
310. Social and Economic Data. 3 units. C-L: see Economics 310; also C-L: Political<br />
Science 338<br />
333. Seminar in Political Economy: Macro Level. 3 units. C-L: see Political Science 333<br />
392. Individual Research in Sociology. Students will conduct on an individual basis<br />
research designed to evaluate a sociological hypo<strong>the</strong>sis <strong>of</strong> <strong>the</strong>ir choice. The process must be<br />
completed by preparation <strong>of</strong> a report on this research in adequate pr<strong>of</strong>essional style.<br />
Prerequisite: Sociology 208 or consent <strong>of</strong> instructor. Instructor: Staff. 3 units.<br />
COURSES CURRENTLY UNSCHEDULED<br />
234S. Political Economy <strong>of</strong> Development: Theories <strong>of</strong> Change in <strong>the</strong> Third World<br />
282S. Canada<br />
Institute <strong>of</strong> Statistics and Decision Sciences (STA)<br />
Pr<strong>of</strong>essor <strong>of</strong> <strong>the</strong> Practice Stangl, Director (214 Old Chemistry); Pr<strong>of</strong>essor Gelfand, Director<br />
<strong>of</strong> Graduate Studies; Pr<strong>of</strong>essors Berger, Kepler, Lavine, West, Winkler, and Wolpert;<br />
Pr<strong>of</strong>essor <strong>of</strong> <strong>the</strong> Practice Banks, Associate Pr<strong>of</strong>essor Clyde; Assistant Pr<strong>of</strong>essors Huber,<br />
Liang, Mukherjee, and Schmidler; Assistant Pr<strong>of</strong>essor <strong>of</strong> <strong>the</strong> Practice Reiter; Pr<strong>of</strong>essor<br />
Emeriti Burdick and Sacks; Adjunct Associate Pr<strong>of</strong>essor Dunson; Assistant Research<br />
Pr<strong>of</strong>essors Dobra and Iversen; Visiting Associate Pr<strong>of</strong>essor Dinwoodie; Visiting Assistant<br />
Pr<strong>of</strong>essor Jang<br />
The Institute <strong>of</strong> Statistics and Decision Sciences <strong>of</strong>fers graduate study leading to <strong>the</strong><br />
Ph.D. degree in statistics. It also <strong>of</strong>fers <strong>the</strong> M.S. degree to students pursuing a Ph.D. degree<br />
in <strong>the</strong> institute or in ano<strong>the</strong>r department at <strong>Duke</strong>. The institute is a regular teaching and<br />
research department <strong>of</strong> <strong>the</strong> university that is internationally recognized as a center <strong>of</strong><br />
research in <strong>the</strong>oretical and applied statistics. The faculty are active in <strong>the</strong> areas <strong>of</strong> Bayesian<br />
statistics and decision sciences, statistical computing, interdisciplinary applications <strong>of</strong><br />
statistics, and bioinformatics. These areas <strong>of</strong> faculty interest are reflected in <strong>the</strong> course <strong>of</strong><br />
study for students in <strong>the</strong> Ph.D. program <strong>of</strong>fered by <strong>the</strong> institute.<br />
Distinguishing features <strong>of</strong> graduate study are <strong>the</strong> opportunity for thorough preparation<br />
in Bayesian as well as classical statistics, and research opportunities at <strong>the</strong> interface between<br />
statistics, decision sciences, and statistical computing. The institute also enjoys close<br />
working relationships and research collaborations with o<strong>the</strong>r departments at <strong>Duke</strong>, and with<br />
<strong>the</strong> Statistical and Applied Ma<strong>the</strong>matical Sciences Institute (SAMSI) and <strong>the</strong> National<br />
Institute <strong>of</strong> Statistical Sciences (NISS), providing opportunities for graduate students to<br />
become involved in applied projects.<br />
Requirements for <strong>the</strong> Ph.D. degree in statistics include study <strong>of</strong> statistics, probability,<br />
statistical computing, decision sciences and related areas; passing a comprehensive<br />
examination (covering those topics) given at <strong>the</strong> end <strong>of</strong> <strong>the</strong> first year, and a preliminary<br />
examination (covering areas <strong>of</strong> possible research interest) at <strong>the</strong> end <strong>of</strong> <strong>the</strong> second year; and<br />
completing a dissertation written under <strong>the</strong> supervision <strong>of</strong> a faculty advisor. For an up-todate<br />
faculty list and description <strong>of</strong> <strong>the</strong> graduate programs in ISDS, visit <strong>the</strong> department web<br />
site at: http://www.stat.duke.edu.<br />
Institute <strong>of</strong> Statistics and Decision Sciences (STA) 271