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Course Criteria
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3.00 Credits
Introduction to CMOS technology and circuit design; combinational logic-design alternatives; register-design and system-clocking methodologies; datapath and subsystem design; VLSI system-design methodologies; CAD tools for synthesis, layout, simulation, and validation; design of a complex VLSI chip. CSE majors only.
Prerequisite:
CSE 567 or permission of instructor
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3.00 Credits
Overview of mobile robot control and sensing. Behavior-based control, world modeling, localization, navigation, and planning Probabilistic sensor interpretation, Bayers filters, particle filters. Projects: Program real robots to perform navigation tasks.
Prerequisite:
CSE major and CSE 473, or permission of instructor
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3.00 Credits
Introduction to computational models of thought and construction of intelligent information systems. Topics include search algorithms, data dependencies and truth-maintenance systems, approaches to knowledge representation, automated deduction, reasoning under uncertainty, and machine learning.
Prerequisite:
CSE 421 or equivalent; exposure to logic, LISP programming experience, CSE major
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3.00 Credits
Advanced topics in artificial intelligence. Subjects include planning, natural language understanding, qualitative physics, machine learning, and formal models of time and action. Students are required to do projects.
Prerequisite:
CSE major and CSE 573
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3.00 Credits
Overview of computer vision, emphasizing the middle ground between image processing and artificial intelligence. Image formation, preattentive image processing, boundary and region representations, and case studies of vision architectures. Offered: jointly with E E 576.
Prerequisite:
Solid knowledge of linear algebra, good programming skills, CSE or E E major or permission of instructor
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3.00 Credits
Topics vary and may include vision for graphics, probabilistic vision and learning, medical imaging, content-based image and video retrieval, robot vision, or 3D object recognition. Offered: jointly with E E 577.
Prerequisite:
CSE/E E 576 or permission of instructor
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4.00 Credits
No course description available.
Prerequisite:
Separate File
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3.00 Credits
Parallel architectures, algorithms, and languages for image processing. Cellular array, pipelined and pyramid machines, instruction sets, and design issues. Parallel implementations of filtering, edge detection, segmentation, shape, stereo, motion, relaxation algorithms, multiresolution methods, and iconicto- symbolic transforms. Students write and debug programs for parallel computers.
Prerequisite:
permission of instructor
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0.00 Credits
Several offerings each quarter, on topics of current interest.
Prerequisite:
permission of instructor
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1.00 - 3.00 Credits
Focuses on specialized topics and research activities in computer science. Credit/no credit only.
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