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Course overview
Introduction
Teachers
Course schedule
Week 1
Lecture: Course Introduction
Tutorial 1: Introduction to Python
Tutorial 2: Introduction to NumPy and Pandas
Tutorial 3: Introduction to Data Analysis
Week 2
Lecture: Introduction to Random Forests
Tutorial 1: Data Exploration and regression analysis
Tutorial 2: Random Forest Regression
Week 3
Lecture: Introduction to Artificial Neural Networks and model validation
Tutorial 1: Artificial neural networks (ANNs)
Tutorial 2: Model Validation
Week 4
Lecture: Earth Observation & Google Earth Engine
Tutorial 1: Land-cover classification
Tutorial 2: Drought Detection
Week 5
Lecture: Big Data in the public domain
Tutorial 1: Working with OpenStreetMap
Tutorial 2: Natural Hazard Risk Assessment
Week 6
Lecture: Social Media and Natural Language Processing (NLP)
Tutorial 1: Social Media & Natural Hazards
Tutorial 2: Social Media & Valuation of Landscapes
Week 7
Lecture: A guide to visualisation
Tutorial: Visualizing your results
Week 8
Exam preparation
Repository
Open issue
.md
.pdf
Exam preparation
Exam preparation
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