Civil Engineering Analytics and Data Visualization 📊

Name: Civil Engineering Analytics and Data Visualization
Author: Xiaogang He

National University of Singapore (NUS), Fall 2026

Xiaogang HE he/him

📧 hexg@nus.edu.sg

📍 E2-02-06 (office)

This course aims to introduce basic data science concepts and visualization techniques to students who are interested in climate, buildings, environment, etc. Students will gain hands-on experience in terms of how to mine, model and visualize data to tell a compelling story of global challenges (e.g., emerging climate crisis).

Week 8 - Welcome to CE3201 👏

Oct 5

Lecture 1 Introduction: [Slides] [Recordings]

Oct 7

Tutorial 1 Data Analysis Agent

Week 9

Oct 12

Lecture 2 Probability/Statistics: [Slides] [Recordings]

Oct 14

Tutorial 2 Python, Numpy, Pandas [Ex.1][S.1] [Ex.2] [S.2] [Ex.3][S.3]

Week 10

Oct 19

Lecture 3 Extreme Value Analysis: [Slides] [Recordings]

HW#1 out

Oct 21

Tutorial 3 Scipy + Work on HW#1: [Exercise] [Solution]

Oct 23

Project out: [Project Description]

Week 11

Oct 26

Lecture 4 From Data to Visualization: [Slides] [Recordings]

Oct 28

Tutorial 4 Work on HW#1

Nov 1

HW#1 due

Week 12

Nov 2

Lecture 5 Figure Design: [Slides] [Recordings]

HW#2 OUT

Nov 4

Tutorial 5 Matplotlib + Work on HW#2

Week 13

Nov 9

Lecture 6 Storytelling with Data: [Slides] [Recordings]

Nov 11

Tutorial 6 Work on HW#2

Nov 15

HW#2 due

Examination Week

Dec 1

Visualizing Temperature Change, Extremes, and ENSO in Southeast Asia (Fall 2026): [Project Description]

Project Due

Image of NUS Campus

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