INTERNET OF
Sample Elective Courses
- Social and Web Computing
- Data-driven Modeling: Learning from Sensor Data
- Internet of Things and Mobile Sensing
- Applications and Mobile Internet Services
- Fog/Edge/Cloud Computing for IoT
- Localization for IoT
- Emerging Wireless Technologies for IoT
- Fundamentals of Discrete-Time Signal Processing
- Fundamentals of Wireless Communications
- Communication Networks
- Convex and Nonconvex Optimization
- (Special Topics in Internet of Things) Security in IoT Systems: Theory and Applications
Program Learning Outcomes
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01Demonstrate thorough knowledge of the literature and a comprehensive understanding of scientific methods and techniques relevant to AI.
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02Demonstrate practical skills in building AI systems.
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03Critically apply theories, methodologies, and knowledge to address fundamental questions in AI.
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04Independently pursue research or innovation of significance in AI applications.
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05Demonstrate skills in oral and written communication sufficient for a professional career.
PHD
General Information
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Credit structure:
PhD: 21 credits
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Normative Program Duration:
PhD:
Full-time: 3 years (those with a relevant research master’s degree), 4 years (those without a relevant research master’s degree)
