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Duke University 2009-2010 - Office of the Registrar - Duke University

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310. Topics in Operating Systems. Not open to students who have taken Computer Science 332. Instructor: Staff. 3 units.<br />

320. Advanced Topics in Digital Systems. 3 units. C-L: Electrical and Computer Engineering 352<br />

322. Advanced VLSI Design. Theory <strong>of</strong> advanced VLSI design. Specifications development, methodology, issues,<br />

circuit-level trade-<strong>of</strong>fs. Full custom design, standard cell design, gate array design, silicon compilation. Semiconductor<br />

technologies and logic families for semi-custom design. Clocking schemes and distribution, race conditions. Design <strong>of</strong><br />

a variety <strong>of</strong> circuits (adders, I/O drivers, RAM, FIFO, etc.) Testing <strong>of</strong> all phases in <strong>the</strong> life cycle <strong>of</strong> an integrated circuit.<br />

Top-down design and bottom-up implementation. Student projects. Not open to students who have taken Computer<br />

Science 310 before Fall 1994. Prerequisite: Electrical Engineering 261 or equivalent. Instructor: Kedem. 3 units. C-L:<br />

Electrical and Computer Engineering 361<br />

327. Seminar in Computer Systems Analysis. Topics in computer systems analysis, especially for fault-tolerant systems,<br />

including reliability, availability and performance analysis, comparative analysis <strong>of</strong> architectures, performability,<br />

analytic and numerical solution techniques, stochastic Petri nets, simulation. Not open to students who have taken<br />

Computer Science 381. 1 to 3 units. Instructor: Trivedi. Variable credit.<br />

331. Operating Systems Theory. Advanced study <strong>of</strong> <strong>the</strong>oretical aspects <strong>of</strong> operating systems emphasizing models and<br />

control <strong>of</strong> concurrent processes, processor scheduling, and memory management. Prerequisite: Computer Science 226<br />

and 231. Instructor: Ellis or Wagner. 3 units.<br />

340. Theory <strong>of</strong> Computation. Not open to students who have taken Computer Science 325. Instructor: Staff. 3 units.<br />

350. Topics in Numerical Ma<strong>the</strong>matics. Advanced topics in numerical ma<strong>the</strong>matics to be selected from areas <strong>of</strong> current<br />

research. Not open to students who have taken Computer Science 321. Prerequisite: Computer Science 250 and 252.<br />

Instructor: Greenside, Rose, or Sun. 3 units.<br />

355. Principles <strong>of</strong> Research Management. A survey <strong>of</strong> topics in modern research management techniques that will cover<br />

proven successful principles and <strong>the</strong>ir application in <strong>the</strong> areas <strong>of</strong> research lab organization, resource management,<br />

organization <strong>of</strong> technical projects, team leadership, financial accountability, and pr<strong>of</strong>essional ethics. Instructor: Staff.<br />

1 unit.<br />

364. Advanced Topics in Nonlinear and Complex Systems. 3 units. C-L: see Physics 313<br />

370. Seminar in Artificial Intelligence. Topics in artificial intelligence, such as natural language understanding,<br />

learning, <strong>the</strong>orem proving and problem solving, search methodologies. Topics will vary from semester to semester.<br />

Includes research literature reading with student presentation. Not open to students who have taken Computer Science<br />

382. Instructor: Staff. Variable credit.<br />

376. Advanced Topics in Artificial Intelligence. Course content will vary from year to year and will include a detailed<br />

study <strong>of</strong> one or more <strong>of</strong> <strong>the</strong> following: mechanical <strong>the</strong>orem proving, natural language processing, automatic program<br />

syn<strong>the</strong>sis, machine learning and inference, representations <strong>of</strong> knowledge, languages for artificial intelligence research,<br />

artificial sensorimotor systems, and o<strong>the</strong>rs. Not open to students who have taken Computer Science 315. Prerequisite:<br />

Computer Science 270. Instructor: Biermann or Loveland. 3 units.<br />

391. Internship. Student gains practical computer science experience by taking a job in industry, and writes a report<br />

about this experience. Requires prior consent from <strong>the</strong> student's advisor and from <strong>the</strong> director <strong>of</strong> graduate studies. May<br />

be repeated with consent <strong>of</strong> <strong>the</strong> advisor and <strong>the</strong> director <strong>of</strong> graduate studies. Credit/no credit grading only. Instructor:<br />

Staff. 1 unit.<br />

395. Research. Instruction in methods used in <strong>the</strong> investigation <strong>of</strong> original problems. Individual work and conferences.<br />

1 to 6 units. Instructor: All members <strong>of</strong> <strong>the</strong> graduate staff. Variable credit.<br />

399. Special Readings. Instructor: Staff. Variable credit.<br />

Cultural Anthropology<br />

Pr<strong>of</strong>essor Starn, Chair; Pr<strong>of</strong>essor Ewing, Director <strong>of</strong> Graduate Studies; Pr<strong>of</strong>essors Allison, Ewing, Ho, O’Barr,<br />

Silverblatt, Starn; Associate Pr<strong>of</strong>essors Baker, Litzinger, Meintjes, Nelson, Piot; Assistant Pr<strong>of</strong>essors Davis, Makhulu,<br />

McIntosh, Stein, Subramania; Pr<strong>of</strong>essors Emeriti Apte, Friedl, Quinn; Lecturer Kirk; Secondary Appointments:<br />

Pr<strong>of</strong>essor Andrews (Slavic languages), Butters (English), Mignolo (romance studies), Reddy (history); Associate<br />

Pr<strong>of</strong>essor Tetel (English); Assistant Pr<strong>of</strong>essors Holsey (African and African American studies), Wilson (women’s<br />

studies)<br />

The department <strong>of</strong>fers graduate work leading to <strong>the</strong> PhD degree in cultural anthropology. It also participates in a<br />

program with <strong>the</strong> Law School leading to a joint JD/MA degree. Students are expected to take an active role in<br />

development <strong>of</strong> <strong>the</strong>ir own research goals and plan <strong>of</strong> study, compiling a portfolio <strong>of</strong> papers and o<strong>the</strong>r writing over <strong>the</strong><br />

first three years. Requirements include courses in anthropological <strong>the</strong>ory, cross disciplinary course work and spoken<br />

and/or written competence in at least one foreign language, at <strong>the</strong> level appropriate to <strong>the</strong> planned research program.<br />

The core courses include two year-long sequences: Theories in Cultural Anthropology (330S, 331S), required <strong>of</strong> firstyear<br />

graduate students, and research/grant writing seminars (332S, 333S), required in <strong>the</strong> fifth and sixth semesters.<br />

Preliminary field research is required in <strong>the</strong> summer following <strong>the</strong> second year <strong>of</strong> classes. The Guidelines for<br />

Graduate Students in <strong>the</strong> Doctoral Program in Cultural Anthropology and <strong>the</strong> Guidelines for Graduate Students in <strong>the</strong><br />

Departments, Programs, and Course Offerings 85

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