University of British Columbia, Doctor of Philosophy in Computer Science, 3 Year(s)

PhD students in the Department of Computer Science may focus their research in the following areas:, Artificial Intelligence: computer vision, decision theory/game theory, knowledge representation and reasoning, intelligent user interfaces, machine learning, natural language understanding and generation, robotics and haptics., Computer Graphics: animation, imaging, modeling, rendering, visualization., Data Management and Mining: business intelligence, data integration, genomic analysis, text mining, web databases., Formal Verification and Analysis of Systems: analog, digital and hybrid systems, VLSI, protocols, software., Human Centered Technologies: human computer interaction (HCI), visual, haptic and multimodal interfaces, computer-supported cooperative work (CSCW), visual analytics., Networks, Systems, and Security: high performance computing/parallel processing, networking, operating systems and virtualization, security., Scientific Computing: numerical methods and software, differential equations, linear algebra, optimization., Software Engineering and Programming Languages:... Read more

PhD students in the Department of Computer Science may focus their research in the following areas:, Artificial Intelligence: computer vision, decision theory/game theory, knowledge representation and reasoning, intelligent user interfaces, machine learning, natural language understanding and generation, robotics and haptics., Computer Graphics: animation, imaging, modeling, rendering, visualization., Data Management and Mining: business intelligence, data integration, genomic analysis, text mining, web databases., Formal Verification and Analysis of Systems: analog, digital and hybrid systems, VLSI, protocols, software., Human Centered Technologies: human computer interaction (HCI), visual, haptic and multimodal interfaces, computer-supported cooperative work (CSCW), visual analytics., Networks, Systems, and Security: high performance computing/parallel processing, networking, operating systems and virtualization, security., Scientific Computing: numerical methods and software, differential equations, linear algebra, optimization., Software Engineering and Programming Languages: development tools, foundations of computation, middleware, programming languages, software engineering., Theory: algorithm design and analysis (including empirical), algorithmic game theory, discrete optimization, graph theory, computational geometry

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