Civil Engineering Analytics and Data Visualization 📊

National University of Singapore (NUS), Fall 2023

Xiaogang HE he/him

📍 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 9

Lecture 1 Introduction: [Slides] [Recordings]

Oct 11

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

Week 9

Oct 16

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

Oct 18

Tutorial 2 Pandas: [Exercise] [Solution]

Week 10

Oct 23

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

HW#1 out

Oct 25

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

Oct 27

Project out: [Project Description]

Week 11

Oct 30

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

Nov 1

Tutorial 4 Work on HW#1

Nov 5

HW#1 due

Week 12

Nov 6

Lecture 5 Figure Design: [Slides] [Recordings]

HW#2 OUT

Nov 8

Tutorial 5 Matplotlib + Work on HW#2

Week 13

Nov 13

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

Nov 15

Tutorial 6 Work on HW#2

Nov 19

HW#2 due

Examination Week

Dec 5

Visualizing Emerging Risks of Heat Extremes and Premature Death Rate in Southeast Asia under Climate Change: [Project Description]

Project Due

Image of NUS Campus

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