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Subject offerings of new and developing areas of knowledge in electrical and computer engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: 0 to 4 undergraduate hours. 0 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.

Prerequisites: One of ECE 391 (Comp. Sys. Eng.), CS 241 (Sys. Programming), ECE 310 (Digital Signal Processing) or consent of instructor. This course will introduce cross-disciplinary ideas, techniques, and algorithms in mobile computing, with an emphasis on how they can be composed to build complete systems and applications on smartphones, tablets, and wearable devices such as glasses, watches, etc. Topics of interest include smartphone sensing, energy efficiency, indoor localization, augmented reality, context-awareness, gesture recognition, CPU-offloading, and data analytics. As an example, students will study problems in indoor navigation, understand how ?sensor data clustering? is required to solving the problem, and later utilize the same technique for a different application, say health monitoring. The course will require students to learn a variety of these techniques and ways in which they can be inter-weaved with each other (through existing case studies). In the second