Module 6 · Section 1 of 8
Module Overview
Six worked case studies, each set in a real Philippine engineering context and each drawn from a different discipline, followed by a capstone you complete on one of three tracks. Every case study is self-contained: synthetic-but-realistic data, an analysis, a chart, and a short "Key Takeaways."
| Case study | Discipline |
|---|---|
| 6.1 Extreme Rainfall & Flood Frequency | Civil / Water Resources |
| 6.2 Grid Power Demand Forecasting | Electrical |
| 6.3 Airshed PM2.5 Compliance | Chemical / Environmental |
| 6.4 Data Center Energy Efficiency (PUE) | Computer |
| 6.5 Manufacturing Quality Control | Industrial |
| 6.6 Chiller Plant Performance | Mechanical |
Run cells top to bottom.
%matplotlib inline
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy import stats # distributions, fits, statistical tests
plt.rcParams["figure.dpi"] = 100 # default figure resolution
print("Environment ready.")
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