CS 410 Top: Advanced Sensor Networks
| Credit Hours: | 4 |
| Course Coordinator: | N/A |
| Course Description: | This course is an advanced sensor networks practicum course. The course
will consist of two primary components:
(i) readings of recent papers in sensor networks, and (ii) a
quarter-long sensor network research project. |
| Prerequisites: | |
| Goals: | Through the means of quarter long research projects where students build
a complete sensor network system, the advanced practicum course will
encourage student teams to:
(i) Apply the previously enumerated concepts learnt in CS 410/510 Sensor
Networks and develop practical, hands-on training and experience in
programming, deploying and evaluating state-of-the-art wireless,
embedded sensor networks.
(ii) Gain a philosophical understanding of sensor technology uses by
exploring applications in the monitoring of human health, ecosystems
and urban landscapes.
(iii) Gain valuable interdisciplinary research skills and experience by
becoming research partners in interdisciplinary research projects that
typically involve collaboration not only between diverse computer
science professors in AI, networks and systems, and databases, but also
scientists and engineers.
(iv) Become entrepreneurs. Successful students will be highly encouraged
to develop and disseminate (via open-source) their project artifacts,
pursue technology transfer, publish their project work in leading sensor
networking research workshops and conferences and form entrepreneurial
E-teams to pursue commercialization of their innovations. |
| Textbooks: | |
| References: | |
| Major Topics: | This course is the first of its kind in the state of Oregon and will
combine interdisciplinary research with education and entrepreneurship.
Students will work on quarter long research projects that will be drawn
from research challenges in interdisciplinary collaborations in health
care, intelligent transportation, and coastal monitoring. |
| Laboratory Exercises: | |
| CAC Category Credits |
Core | | Advanced |
| Data Structures |
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| Algorithms |
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| Software Design |
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| Computer Architecture |
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| Programming Languages |
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| Oral and Written Communications: | |
| Social and Ethical Issues: | |
| Theoretical Content: | |
| Problem Analysis: | |
| Solution Design: | |
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