CSE 40437/60437 - Social Sensing and Cyber-Physical Systems - Spring 2015


  • Prof. Dong Wang
    dwang5 at nd dot edu
    Office Hours: Tue 3:15-5:15 PM, 214B Cushing Hall,
  • TA: Chao Huang
    chuang7 at nd dot edu
    Office Hours: Mon 4-6 PM, Thur 4-6 PM, 254 Fitzpatrick Hall
  • Lecture Time

    Tuesday and Thursday, 2:00-3:15 pm, DeBartolo Hall 117

    Course Overview

    Online social media (e.g., Twitter, Facebook), smartphones, and ubiquitous internet connectivity have greatly facilitated data sharing at scale, allowing for a firehose of human and sensor observations to pour in about the physical world in real-time. This opens up unprecedented challenges and opportunities in the field of social sensing and cyber-physical systems (CPS) where an important goal is to efficiently organize the real-time data feeds and accurately reconstruct the "states of the world", both physical and social. This course offers students the opportunity to learn the theoretical foundations, state-of-the-art techniques, and hands-on experience in this exciting area. The topic of this class is timely due to the increasing interest in online social networks, big data, and human-in-the-loop systems, as well as the proliferation of computing artifacts that interact with or monitor the physical world.

    The class contains four main components: (i) the introduction to social sensing and cyber-physical systems; (ii) key technical challenges (e.g., big data analytics, system reliability, user mobility, energy, privacy, etc.); (iii) state-of-the-art techniques and systems (e.g., MapReduce/Hadoop, fact-finding, etc); (iv) emerging applications (smartphone-based crowdsensing, online social media sensing, participatory/opportunistic sensing, intelligent transportation, smart buildings, body area networks etc). The students will have the opportunities to work with real world social sensing and cyber-physical system problems.

    Getting Help

  • Piazza Discussion Page - General announcement, lecture notes and Q&A after class
  • Office Hours - Please refer to the above schedule.
  • Email - Contact Prof. Wang for questions about grades, course policies, etc.
  • Grades are available in Sakai.
  • Course Documents

  • Syllabus
  • Course Project
  • Mid-term Project Presentation
  • In-class Paper Presentation
  • Final Project Presentation

  • Grading

  • 10% of the grade will be assigned on individuals' class participation and proactive discussion of lecture topics and project presentations (Individual based).

  • 10% of the grade will be assigned on an in-class paper presentation on the selected topic by each group. (Group based)

  • 30% of the grade will be assigned on individuals' homework assignment (Individual based).

  • 50% of the grade will be determined by a group course project. This grade includes project proposal, mid-term report, mid-term project presentation, a final project presentation, a final project paper, and project updates and demonstrations (to the instructor). The project will implement some innovative social sensing model, service, system, or computing environment. Students will be allowed to work in groups of up to 3 on the project. The project will proceed through the landmarks stated below. (Group based)

  • 5%: Project discussion and updates

  • 5%: Project proposal

  • 5%: Mid-term project presentation

  • 10%: Mid-term project report

  • 10%: Final project presentation

  • 15%: Final project paper

  • Note: For individual based work, each student will receive the credit based on her/his own work. For the group based work, every student in the group will receive the same credit based on the group's work.

    This class follows the binding Code of Honor at Notre Dame. The graded work you do in this class must be your own. In the case where you collaborate with other students make sure to fairly attribute their contribution to your project. You must read and abide by the Academic Code of Honor. http://honorcode.nd.edu

    Course Project

  • The project will be chosen by each group within the first couple of weeks of class. The only restriction of the project is that it should use online social media data (e.g., Twitter, Flickr, Foursquare, Facebook, etc.) to solve some interesting problem in social sensing. Here are some ideas to help you get started. Groups are encouraged to come up with their own ideas. If you have some really cool idea that does not satisfy such restriction, please schedule a meeting to discuss it with the instructor. Project title, abstract, and member list is due on Noon, January 30.

  • Each group will schedule a regular meeting (during project meeting slots and office hours) to meet with the instructor and discuss the progress and problems encountered on their projects.

  • Each group will prepare and submit a two page project proposal. The proposal should include an overview of the project (preferably with a diagram), a brief review of state-of-the-arts in related fields, a credible set of initial project results if available, a list of further proposed milestones, and a plan of action for the rest of the semester. The proposal is due on Noon, February 20.

  • Each group is responsible for a Mid-term Project Presentation in class starting from March 17. The presentation will allow the instructor and classmates to comment on the initial results and current state of the project and also give constructive feedback to the group members.

  • Each group will prepare and submit a four page mid-term project report. The mid-term report should include a reasonable amount of preliminary results, a description of finished milestones, a discussion of encountered problems and relevant solutions, and any modifications to the plan (if there are) to finish the remaining tasks. The mid-term report is due on Noon, March 20.

  • Final project presentations will be conducted by each group starting from the week of April 28.

  • Each group will prepare and submit a final project paper. The final project paper is a comprehensive summary of the whole project and should follow a technical paper writing style. The expected number of pages for the final paper is 8 to 10 pages (including references). Final project paper is due on Noon, May 4th.

  • The proposal, mid-term report and final project paper should all follow a standard technical paper format . Here is the template: IEEE Latex or Word Template .

  • A successful project could result in a conference or journal quality paper.

  • Note : For more information about the project (e.g., possible ideas and milestones), please visit Course Project Page

    You are encouraged to seek out and exploit external manuals, books, websites, and other documentation that can help you to complete your project, provided that you indicate what sources you have used. However, all software development, experimental work, and writing of the proposal, report and paper must be done solely by you and your project partner(s).

    In-class Paper Presentation

  • Each group will do an in-class paper presentation to present a selected technical paper in the week of April 21.

  • The in-class paper presentation will provide good opportunities for you to exercise your scientific presentation ability, practice critical thinking, understand how to judge and challenge other's work in a professional way, and learn how to organize and lead an active scientific/technical discussion session.

  • Detailed instructions are available here
  • Tentative Schedule

    Note: Lecture notes are avaliable on Piazza.
    Week Lecture Materials
    January 13 Social Sensing and Cyber-Physical Systems Landscape Reading:
    Introduction to Social Sensing
    Cyber-Physical Systems: The Next Computing Revolution
    January 20 - 27 Data Reliability and Information Overload Reading:
    Truth Discovery in Social Sensing
    Quantifying the Quality of Information
    Using Humans as Sensors
    Exploitation of Physical Constraints
    Assignment 1 is out, due: Feb. 3rd
    Project Title, Abstract and Member List Due Friday, January 30
    February 3 Project Kick-off Meetings Sign up your slots on doodle
    Assignment 2 is out, due: Feb. 17
    February 10 Online Social Media Sensing Reading:
    Earthquake Shakes Twitter Users
    From Tweets to Polls
    You Are Where You Tweet
    Groundhog Day: Near-Duplicate Detection on Twitter
    February 17 Big Data Issues Reading:
    Big Table Paper
    Map-Reduce Paper
    Data Cube Paper
    Assignment 3 is out, Due: Noon, Mar. 6
    Project Proposal Due Friday, Noon, February 20
    February 24 Crowdsensing and Mobile Sensing Reading:
    A Survey of Mobile Sensing
    How Long to Wait: Bus Arrival Time Prediction
    Automatically Characterizing Places
    Personal Environmental Impact Report
    March 3 Project Mid-term Meetings Sign up your slots on doodle
    March 10 Spring Break
    March 17 Mid-term Project Presentations Mid-term Project Presentation
    Project Mid-term Report Due Friday, Noon, March 20
    March 24 Automotive Sensing and Intelligent Tranportation Reading:
    GreenGPS: A Participatory Sensing Fuel-Efficient Maps Application
    SignalGuru: A Collaborative Traffic Signal Schedule Advisory Service
    CarSpeak: A Content-Centric Network for Autonomous Driving
    Human-centric Data Fusion in Vehicular Cyber-Physical Systems
    March 31 Energy Issues Reading:
    mPlatform: Energy-Optimal Scheduling and Data Processing
    ACE: Energy-Efficient Conntinous Context Sensing
    Smart Thermostat: Save Energy in Homes
    Wireless Buidling Eenergy Auditing Network
    April 7 Wearable Sensing and Body-Area Sensor Network Reading:
    Body Sensor Networks (BSN)
    Accurate Caloric Expenditure of Bicyclists using Cellphones
    RadioSense: ExploitingWireless Communication Patterns for BSN
    BodyScope: A Wearable Acoustic Sensor for Activity Recognition
    April 14 Guest Lecture and Paper Presentation Preparations Guest Lecture:
    Solving Big Graph Problems By Thinking Like a Vertex , Prof. Tim Weninger
    April 21 Medical Sensing, Privacy or Open Issues
    (Students In-class Presentation)
    In-class Paper Presentation
    Medical Sensing:
    Detecting Cocaine Use with Wearable Electrocardiogram Sensors
    Sensor Selection for Energy-Efficient Ambulatory Medical Monitoring
    Real-time Clinical Monitoring and Deterioration Warning
    Context-Aware Assisted-Living and Residential Monitoring
    Cyber-Physical Modeling of Implantable Cardiac Medical Devices
    BiliCam: Using Mobile Phones to Monitor Newborn Jaundice
    ProtectMyPrivacy: Detecting and Mitigating Privacy Leaks on iOS Devices
    Cloud-Enabled Privacy-Preserving Collaborative Learning for Mobile Sensing
    Understanding Users' Mental Models of Mobile App Privacy through Crowdsourcing
    Privacy Manipulation and Acclimation in a Location Sharing Application
    Privacy-aware Regression Modeling of Participatory Sensing Data
    Privacy.Tag: Privacy Concern Expressed and Respected
    April 28 Final Project Presentations Final Project Presentation
    Final Project Paper Due Monday, Noon, May 4