Web-based Application Programming Interfaces for Geographic Data Science

Weeks

1. Web-based information technology
   Seminar/Tutorial: Data Governance
2. Programming the Web
   Practical: Portfolio website
3. Application Programming Interfaces
   Practical: Web Data Extraction tool
4. Geospatial API's
   Practical: Data Science Project
5. Data Science Pipelines
   Seminar/Tutorial: Data Science Project Presentations

• Describe the fundamentals of web-based information technology
• Understand how programming languages are used for web design
• Build and maintain a simple website
• Understand Application Programming Interface (API) architecture
• Implement an effective data governance strategy
• Demonstate use of Google API's
• Build a web data extraction tool
• Understand the principles of 'tidy data', and how to design a data science pipeline, using R or Python

1. Problem Solving and Critical Thinking
2. Data Handling, Analysis and Interpretation in R/Python
3. Web design
4. Web data extraction
5. Data Visualisation and Online Dashboards
6. Dynamic report generation
7. Collaboration
8. Interdisciplinary thinking

• Coursework

  • Written Assessment (20%): Choose a data-sharing scandal (e.g. Facebook-Cambridge Analytica/Care.data) and discuss the implications for future data governance
  • Two Reports (40%): After participation in practicals

• Practical Examination

  • Oral assessment and presentation (40%): Apply the methods learned in the practicals to create an exploratory data analysis of a societally relevant issue.