Civil Engineering Analytics and Data Visualization 📊

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

National University of Singapore (NUS), Fall 2025

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 6

Lecture 1 Introduction: [Slides] [Recordings]

Oct 8

Tutorial 1 Python, Numpy: [Exercise1] [Solution1] [Exercise2] [Solution2]

Week 9

Oct 13

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

Oct 15

Tutorial 2 Pandas: [Exercise] [Solution]

Week 10

Oct 20

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

HW#1 out

Oct 22

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

Oct 24

Project out: [Project Description]

Week 11

Oct 27

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

Oct 29

Tutorial 4 Work on HW#1

Nov 2

HW#1 due

Week 12

Nov 3

Lecture 5 Figure Design: [Slides] [Recordings]

HW#2 OUT

Nov 5

Tutorial 5 Matplotlib + Work on HW#2

Week 13

Nov 10

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

Nov 12

Tutorial 6 Work on HW#2

Nov 16

HW#2 due

Examination Week

Dec 2

Visualizing Climate Change’s Impact on Energy Demand for Cooling Buildings in Southeast Asia under Extreme Heat (Fall 2024): [Project Description]

Project Due

Image of NUS Campus

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