[Fall 2021] CSE 398/498: Data Science for Smart Cities

Course Info

Instructor: Yu Yang

Office: Room 313, Building C, Mountaintop Campus

Office hours: 3:10 pm - 4:10 pm, Thursday

Email: yuyang@lehigh.edu

Lecture: :1:35 pm - 2:50 pm, Tuesday/Thursday

Location: Maginnes Hall 103 OR Zoom

Zoom link: See Course Site

Course Description

Empowered by rich data collected from various infrastructures in our cities and machine learning techniques, our cities are becoming “smarter”. In this course, we discuss how data science is used to innovate our cities. We cover topics such as urban sensing, data-driven modeling and analytics for smart city services, data-driven decision making, data visualization, and novel applications in various city phenomena. Students are expected to (i) read and present research papers drawn from top conferences, (ii) participate in discussions of the papers, and (iii) design, implement and present their ideas for the final class project.

Course Learning Objectives

By the end of this course, you will be able to

  1. understand the basic principle underlying data science for smart cities;
  1. explain the state-of-the-art research in this area;
  1. demonstrate ideas for smart cities;
  1. implement ideas based on real-world data using tools including but not limited to data analytics, machine learning, statistics, data visualization, etc.


CSE 017 and (CSE 160 or CSE 326) OR other equivalent courses.

Required Texts

No books are required. All the materials will be online.


Participation: 10%

Reading summary: 20%

Topic presentations: 20%

Class projects: 50% (10% for Proposal Reports, 20% for Final Reports, 20% for Presentations)

Course Schedule (Tentative, Updated 08/28)