Week 1: Introduction to Urban Informatics Topics: Smart cities, urban systems, data-driven governance, digital infrastructure, Case studies, Open data portals
Week 2: Types of Urban Data and Databases Topics: Types of data and data format, Types of databases, Relational databases, Database normalization, NoSQL
Week 3: Data Access and Management Topics: SQL, APIs, web scraping, data cleaning, cloud storage
Week 4: Programming Fundamentals with Python Topics: Python syntax, control structures, functions, file I/O, object-oriented programming and examples
Week 5: Data Analysis and Visualization with Python Topics: Python data structures and data access, Introduction to Pandas, Matplotlib, dashboards, exploratory data analysis
Week 6: Introduction to Machine Learning Topics: Machine learning Basics, Foundational theories, Model building, Model training/testing, Model evaluation
Week 7: Supervised Learning for Urban Prediction Topics: Classification, regression, decision trees, support vector machines (SVM) etc. Case studies
Week 8: Unsupervised and Association Learning Topics: K-means, hierarchical clustering, PCA, dimensionality reduction, Apriori algorithm, Frequent pattern mining etc., Case studies
Week 9: Deep Learning and Neural Networks Topics: Neural architectures, activation functions, backpropagation, CNN, time series modeling (LSTM) etc., Case studies
Week 10: Internet of Things (IoT) Fundamentals Topics: IoT architecture, protocols (MQTT/HTTP), sensors, actuator, Microcontrollers, Firmware, cloud integration,Case studies
Week 11: Arduino and Arduino projects Topics: Arduino IDE, serial communication, firmware basics, Arduino projects for urban context
Week 12: Integrated Urban Systems and Data platforms
Topics: Geospatial analysis and dashboards, real-time analytics, PostGIS, Tableau, urban simulation, Case studies Agent based simulation, Bus service optimization, Bicycle sharing systems, Opportunities, challenge and limitations, Summary Session
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