The graduate curricula includes a broad array of foundational material, ranging from computer architecture to stochastic process to digital signal processing, that is intended to give graduate students the training needed to engage in state-of-the-art research. A broad selection of additional advanced classes provides students with training beneficial for engaging in industry employment upon graduation. The electrical and computer engineering faculty are actively engaged in research in areas ranging from wireless systems to future Internet design, sensor networks, signal processing, control theory, low-power electronics, materials, hardware and software engineering, computer graphics and vision, robotics, and virtual reality technologies. Students have access to cutting edge research laboratories, such as the Wireless Information Network Laboratory (WINLAB), the Microelectronics Research Laboratory (MERL), and the Center for Autonomic Computing (CAC). The graduate faculty guide students through the research process, from problem formulation to publication in top-tier journals and conferences to filing patent applications and technology transfer.