PHD IN INTERNET OF THINGS

Required Courses

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

  • 01
    Demonstrate thorough knowledge of the literature and a comprehensive understanding of scientific methods and techniques relevant to AI.
  • 02
    Demonstrate practical skills in building AI systems.
  • 03
    Critically apply theories, methodologies, and knowledge to address fundamental questions in AI.
  • 04
    Independently pursue research or innovation of significance in AI applications.
  • 05
    Demonstrate skills in oral and written communication sufficient for a professional career.
PHD

General Information

  • Credit structure:

    PhD: 21 credits

  • 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)

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