Civil Engineering Analytics and Data Visualization 📊

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

National University of Singapore (NUS), Fall 2024

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 7

Lecture 1 Introduction: [Slides] [Recordings]

Oct 9

Tutorial 1 Python, Numpy: [Exercise] [Solution]

Week 9

Oct 14

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

Oct 16

Tutorial 2 Pandas: [Exercise] [Solution]

Week 10

Oct 21

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

HW#1 out

Oct 23

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

Oct 25

Project out: [Project Description]

Week 11

Oct 28

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

Oct 30

Tutorial 4 Work on HW#1

Nov 3

HW#1 due

Week 12

Nov 4

Lecture 5 Figure Design: [Slides] [Recordings]

HW#2 OUT

Nov 6

Tutorial 5 Matplotlib + Work on HW#2

Week 13

Nov 11

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

Nov 13

Tutorial 6 Work on HW#2

Nov 17

HW#2 due

Examination Week

Dec 3

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

Project Due

Image of NUS Campus

This website is in progress and all content is subject to change.