CS 671: Data-Driven Cyber-Physical Systems for Smart Cities

Rutgers University-Spring 2018


Information

Instructor: Desheng Zhang
Email: desheng.zhang AT cs.rutgers.edu
Office: CoRE 307

Lectures: Thursdays, 3:20-6:20 pm
Classroom: Busch Science and Engineering Resource Center (SEC) 206
Office Hours: Mondays, 2:00-3:00pm

Textbooks: No books are required, and links for references and papers are provided.
Grading: 10% for Class Participation;
20% for Reading Summaries;
20% for Topic Participation;
50% for Team Project (10% for Proposal Reports; 20% for Final Report; 20% for Presentation)


Announcements

  • Jan 16: The first class is tomorrow at Busch SEC 206.


  • Syllabus

    This class is ideal for graduate students (or high-level undergrads) who want to learn various research topics about Data Science, Internet of Things, and Cyber-Physical Systems with applications on Smart Cities based on real-world systems and data. Some topics covered include:

    Large-Scale Urban Systems as Complex Internet of Things
  • Communication Systems
  • Transforation Systems
  • Finance Systems

  • Urban Data Collection, Management, Processing, and Visualization
  • Participatory/Opportunistic Sensing
  • Stream, Trajectory, and Graph data Management
  • Streaming Data Processing
  • Interactive Visualization

  • Spatial-Temporal Data Analytics
  • Data Fusion
  • Visual Analytics
  • Data-driven Predictive Modeling
  • Interdependency Analyses

  • Data Predictive Control in Smart Cities

    Human-in-the-Loop in Smart Cities

    Privacy and Security in Smart Cities

    Novel Services in Three Urban Domains:
  • Transportation
  • Telecommunication
  • Energy

  • Schedule Overview


    Schedule Details

    Week
    Date
    Topics and Reading Assignments
    1
    Jan 18

     General Class Introduction: Overview Slides

    2
    Jan 25

      Urban Sensing


      Talk 1: Tracking Drivers
      Talk 2: Big Road
      Talk 3: Sunmmary


    3
    Feb 1

      Data Management & Processing

    4
    Feb 8

      Data-Driven Modeling: Human Mobility

    5
    Feb 15

      Data-Driven Modeling: Urban Phenomena

    6
    Feb 22

      Data-Driven Modeling: Data Fusion

    7
    Mar 1

      Data Visualization
    8
    Mar 8

      Data Predictive Control

    Spring Break
    9
    Mar 22

      Project Proposal Presentation

    No Reading Assignment
    10
    Mar 29

      Novel Services

    11
    Apr 5

      Conflict and Dependency Analyses

    12
    Apr 12

      Human-in-the-loop

    13
    Apr 19

      Privacy and Security

    14
    Apr 26

      Final Project Presentation

    No Reading Assignment
    May 5
      Final project papers are due on May 5th 11:59PM EST.



    "How to" List


    1. How to Read a Paper by S. Keshav.
    2. How to Read a Research Paper by Michael Mitzenmacher.
    3. Writing Reviews for Systems Conferences by Timothy Roscoe.
    4. How to Read an Engineering Research Paper by William Griswold.
    5. How to Read a Research Paper by Spencer Rugaber.
    6. How to write a great research paper by Simon Peyton Jones.
    7. How to give a great research talk by Simon Peyton Jones.