Duke University 2008-2009 - Office of the Registrar - Duke University

decision trees, hidden Markov models, neural networks, and reinforcement learning.
Minimal overlap with Computer Science 270. Prerequisite: Computer Science 100,
Mathematics 104, and Statistics 103 or consent of instructor. Instructor: Parr. 3 units.
274. Introduction to Computer Vision. Image formation and analysis; feature
computation and tracking; image motion analysis; stereo vision; image, object, and activity
recognition and retrieval. Prerequisites: Mathematics 104 or 107; Mathematics 135 or
Statistics 104; Computer Science 6. Instructor: Tomasi. 3 units.
296. Advanced Topics in Computer Science. Instructor: Staff. 3 units.
297. Advanced Topics in Computer Science. Advanced topics from various areas of
computer science, changing each year. Includes research intensive work exposing the
student to computer science research methodology and resulting in a major document or
project. Instructor: Staff. 3 units.
For Graduate Students Only
300. Introduction for Graduate Students in Computer Science. Introduction for graduate
students in computer science. Topics for discussion include: computer science as a research
discipline, views of what constitutes a research contribution, approaches to research in
different subfields, tools and methodologies, publishing and presenting research results, the
role of computer science as an "amplifier" in other sciences, ethical and policy issues, the
information technology industry, grants and funding, and guidelines for success as a
graduate student and as a scientist. Instructor: Staff. 1 unit.
310. Topics in Operating Systems. Not open to students who have taken Computer Science
332. Instructor: Staff. 3 units.
320. Advanced Topics in Digital Systems. 3 units. C-L: Electrical and Computer
Engineering 352
322. Advanced VLSI Design. Theory of advanced VLSI design. Specifications
development, methodology, issues, circuit-level trade-offs. Full custom design, standard
cell design, gate array design, silicon compilation. Semiconductor technologies and logic
families for semi-custom design. Clocking schemes and distribution, race conditions.
Design of a variety of circuits (adders, I/O drivers, RAM, FIFO, etc.) Testing of all phases
in the life cycle of an integrated circuit. Top-down design and bottom-up implementation.
Student projects. Not open to students who have taken Computer Science 310 before Fall
1994. Prerequisite: Electrical Engineering 261 or equivalent. Instructor: Kedem. 3 units. C-
L: Electrical and Computer Engineering 361
327. Seminar in Computer Systems Analysis. Topics in computer systems analysis,
especially for fault-tolerant systems, including reliability, availability and performance
analysis, comparative analysis of architectures, performability, analytic and numerical
solution techniques, stochastic Petri nets, simulation. Not open to students who have taken
Computer Science 381. 1 to 3 units. Instructor: Trivedi. Variable credit.
331. Operating Systems Theory. Advanced study of theoretical aspects of operating
systems emphasizing models and control of concurrent processes, processor scheduling, and
memory management. Prerequisite: Computer Science 226 and 231. Instructor: Ellis or
Wagner. 3 units.
340. Theory of Computation. Not open to students who have taken Computer Science 325.
Instructor: Staff. 3 units.
350. Topics in Numerical Mathematics. Advanced topics in numerical mathematics to be
selected from areas of current research. Not open to students who have taken Computer
Science 321. Prerequisite: Computer Science 250 and 252. Instructor: Greenside, Rose, or
Sun. 3 units.
355. Principles of Research Management. A survey of topics in modern research
management techniques that will cover proven successful principles and their application in
the areas of research lab organization, resource management, organization of technical
Courses of Instruction 110