Course Details
16:198:551 - Ubiquitous Computing
- Course Number: 16:198:551
- Semester 2: Spring
- Credits: 3
- Description:
The course includes discussion of contributions of various fields to ubiquitous computing, including Internet-of-Things, Data Science, AI, Human-Computer Interaction, Embedded Computing, Real-time Systems, Machine Learning, Privacy, and Security. Students will gain practical experience in developing sensing, learning, and decision-making systems in different application domains such as Smart Cities, Smart Home, Autonomous Driving, and Gig Economy.
- Instructor Profile: Zhang, Desheng
- Category: B (M.S.), B (Ph.D.)
- Topics:
- Sensing: Mobile and Pervasive Sensing, Internet-of-Things;
- Learning: Data Science, Machine Learning, Activity Recognition, Timeseries, and Location-based Modeling;
- Decision-making: Reinforcement Learning, Control, Human-in-the-loop, Privacy, and Security
- Applications: Smart Cities, Smart Home, Autonomous Driving, Gig Economy.
- Expected Work: Active Classroom Participation; Research Paper Readings and Summary Report; Homework; Paper Presentations, and Team Projects.
