191 - 200 of 217 results for: CS

Introduction to spoken language technology with an emphasis on dialogue and conversational systems. Automatic speech recognition, extraction of affect and social meaning from speech, speech synthesis, dialogue management, and applications to digital assistants, search, and recommender systems. Prerequisites: CS 124, 221, 224N, or 229.

For robotics and non-robotics students. Students program mobile robots to exhibit increasingly complex behavior (simple dead reckoning and reactivity, goal-directed motion, localization, complex tasks). Topics: motor control and sensor characteristics; sensor fusion, model construction, and robust estimation; control regimes (subsumption, potential fields); probabalistic methods, including Markov localization and particle filters. Student programmed robot contest. Programming is in C++ on Unix machines, done in teams. Prerequisite: programming at the level of 106B, 106X, 205, or equivalent.

Theory and practice of statistical techniques used in robotics and large-scale sensor-based systems. Probabilistic state estimation, Bayes, Kalman, information and particle filters. Simultaneous localization and mapping techniques, and multi-robot sensor fusion. Markov techniques for making decisions under uncertainty, and probabilistic control algorithms and exploration.

Companion project option for 244B. Corequisite: 244B.

Hands-on introduction to contemporary HCI technologies. Interaction design with Adobe Flash, mobile development, physical computing, and web applications. Corequisite: 247.

Software engineering of high quality large-scale complex software with a focus on evolvability, performance and cost. Software development processes, people and practice; audit: integrating invariant checks with production software; concurrency with modular object-oriented programming; collection implementation; generic programming and templates; design of value types; named descriptions for large value types; memory management; controlling placement, locality and consumption; run-time vs. static type checking and identification.

Computer haptics is the discipline of synthesizing touch feedback in simulated or virtual environments. Course objective is to study and develop computational methods for generating force feedback through haptic interfaces. Theoretical topics: haptic rendering in 3-D virtual environments, simulation of haptic interaction with rigid and deformable objects, haptic interfaces, psychophysics of touch. Applied topics: CHAI3D haptic library, implementation of algorithms for haptic rendering, collision detection, and deformable body simulation. Guest speakers; Lab/programming exercises; open-ended final project. Enrollment limited to 20. Prerequisite: experience with C++. Recommended: 148 or 248, 223A.

Student teams under faculty supervision work on research and implementationnof a large project in HCI. State-of-the-art methods related to the problemndomain. Prerequisites CS 377, 147, 247, or permission from instructor.

Guest computer scientist. By arrangement. May be repeated for credit.