The goal of this course is to expose you to emerging technologies in mobile computing and IoT. We will cover fundamental topics in signal processing and wireless networking - mostly from a sensing standpoint. We will be reading one research paper every week and discussing it in class. The class is project oriented, with 1 midterm exam. There will be 2-3 in-class quizzes and regular project presentations. Here are the topics we will cover: Intro to sensing, signal processing, mobile health, wearable sensing, multimodal sensing and machine learning, alternate sensing modalities, IoT networking. You will gain hands on experience applying signal processing and machine learning to build exciting systems.
| Class Location | Javits Lecture Hall, 101 |
|---|---|
| Class Hours | Monday & Wednesday 3:30-4:50PM |
| Instructor | Shubham Jain |
| Email Address | j[email protected] |
| Office Hours | Every Friday, 12-1 PM, NCS 333 |
| TA | Tanmay Srivastava |
<aside> 💡 The class will not be streamed online or recorded for offline viewing. Please come to class in-person if you want to learn.
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(Subject to minor tweaks throughout the semester.)
Quizzes: 25%
Midterm Exam: 25%
Paper presentations, and class participation: 10%
Project: 40%
While AI-based resources can be helpful for learning, their use in writing project reports is strictly prohibited. Using AI tools to write the report undermines the educational goals of this course and violates the university's academic integrity policy. This class is research oriented. Developing the ability to present your research and write it up is part of what you learn in this class. The report must be your own work. Use of any AI tools to write your project reports is considered academic dishonesty and will result in disciplinary action.