ELEC 537: Intelligent Mobile Systems

Instructor: Nakul Garg ()

Lectures: Tu - Th, 4:00pm - 5:15pm

Location: James Baker Hall, 116

TA: TBD

Office Hours: TBD

Course Description. This course focuses on building intelligent mobile systems that sense, communicate, and make decisions under tight resource constraints like limited energy, compute, and bandwidth. We will explore wireless communication, embedded sensing, and machine learning techniques for mobile applications. Topics include wireless localization, sensor fusion, on-device AI, energy harvesting, wireless imaging, and emerging techniques like 3D mapping and neural radiance fields.

Prerequisites: The course is open for graduate (PhD/Master's) and senior undergraduate students. Prior experience in embedded systems, wireless communication, and machine learning is recommended but not required.

Topics.

Grading Breakdown.

Schedule.
# DATE TOPIC ASSIGNMENT READING
FOUNDATIONS OF SIGNALS AND SYSTEMS
1 Aug 26 Introduction to Intelligent Mobile Systems -
2 Aug 28 Sensors and Signals -
3 Sep 2 Signal Processing and Fourier Analysis -  
4 Sep 4 Signal Processing and Fourier Analysis Homework 1 Released  
5 Sep 9 Signal Processing and Fourier Analysis (cont.) -  
6 Sep 11 In-Class Workshop 1: Smartphone Sensor Analysis -  
7 Sep 16 IMU Systems, Sensor fusion, Filtering Project Proposal Due  
8 Sep 18 Aliasing and Freq Shifting Homework 1 Due  
SPATIAL SENSING AND COMPUTING
9 Sep 23 Wave Propagation & Ranging Homework 2 Released  
10 Sep 25 Doppler Effect -  
11 Sep 30 Arrays, Beamforming, Spatial Sensing -  
12 Oct 2 Arrays, Beamforming, Spatial Sensing (cont.) -  
13 Oct 7 Wireless Localization Homework 2 Due  
14 Oct 9 Wireless Imaging -  
Oct 14 Fall Recess No class — Holiday  
15 Oct 16 Midterm Exam (In-Class) Midterm Exam   Assessment  
16 Oct 21 Structure Assisted Sensing Homework 3 Released  
17 Oct 23 Wireless Imaging – Diffusion, NeRF -  
18 Oct 28 NextG I: 5G & Millimeter-Wave Sensing -  
ON-DEVICE INTELLIGENCE
19 Oct 30 Project Progress Discussion -  
20 Nov 4 Energy Harvesting & Intermittent Computing -  
21 Nov 6 On-Device AI: TinyML & Optimization Homework 3 Due  
22 Nov 11 In-Class Workshop 2: Hands-On TinyML Workshop  
APPLICATIONS AND INTELLIGENT MOBILE SYSTEMS
23 Nov 13 Mobile Health Sensing -  
24 Nov 18 Mobile Health Sensing (cont.) -  
25 Nov 20 Security and Privacy -  
26 Nov 25 Security and Privacy (cont.) -  
Nov 27 Thanksgiving Break No class — Holiday  
FINAL PROJECTS
27 Dec 2 Final Project Presentations I Final Presentations  
28 Dec 4 Final Project Presentations II Final Presentations  

Course Policies and Resources.

Rice Honor Code

All students must uphold the Rice Honor Code standards established when you matriculated at Rice. If you need clarification on academic integrity expectations, procedures, or student rights, consult the Honor System Handbook.

Disability Resource Center

Any student with a documented disability needing academic accommodations should: 1) visit the Disabilities Resource Center (DRC) to ensure required documentation is on file, and 2) speak with the instructor as soon as possible. The DRC is located in Allen Center, Room 111 / adarice@rice.edu / x5841.

Mental Health Statement

Student wellbeing and mental health are important. If personal challenges are interfering with your ability to complete coursework, please contact the Wellbeing and Counseling Center for support. 24/7 support: 713-348-3311.

Updates to the Course

Information in this syllabus may be subject to change with reasonable advance notice as appropriate.