Open Educational Resources | Pao Yue-kong Library, The Hong Kong Polytechnic University

MOOC

Data Science for Construction, Architecture and Engineering

The building industry is exploding with data sources that impact the energy performance of the built environment and health and well-being of occupants. Spreadsheets just don’t cut it anymore as the sole analytics tool for professionals in this field. Participating in mainstream data science courses might provide skills such as programming and statistics, however the applied context to buildings is missing, which is the most important part for beginners. This course focuses on the development of data science skills for professionals specifically in the built environment sector. It targets architects, engineers, construction and facilities managers with little or no previous programming experience. An introduction to data science skills is given in the context of the building life cycle phases. Participants will use large, open data sets from the design, construction, and operations of buildings to learn and practice data science techniques. Essentially this course is designed to add new tools and skills to supplement spreadsheets. Major technical topics include data loading, processing, visualization, and basic machine learning using the Python programming language, the Pandas data analytics and sci-kit learn machine learning libraries, and the web-based Colaboratory environment. In addition, the course will provide numerous learning paths for various built environment-related tasks to facilitate further growth.

Keywords:: City planning -- Statistical methods Python (Computer program language) Information visualization
Resource Type:: MOOC

Others

Pandas

Solve short hands-on challenges to perfect your data manipulation skills.

Subjects:: Computing
Keywords:: Python (Computer program language) Electronic data processing Information visualization
Resource Type:: Others

Others

Geospatial Analysis

Create interactive maps, and discover patterns in geospatial data.

Subjects:: Land Surveying and Geo-Informatics and Computing
Keywords:: Geospatial data Python (Computer program language)
Resource Type:: Others

Others

Feature Engineering

Discover the most effective way to improve your models.

Subjects:: Computing
Keywords:: Machine learning Data mining Python (Computer program language)
Resource Type:: Others

Courseware

Advanced Python Programming for GIS

In this course, you will learn advanced applications of Python for developing and customizing GIS software, designing user interfaces, solving complex geoprocessing tasks, and leveraging open source. The course consists of readings, walkthroughs, projects, quizzes, and discussions about advanced GIS programming concepts and techniques, and a final term project. Software covered in the course includes: Esri ArcGIS Pro/arcpy, Jupyter Notebook, Esri ArcGIS API for Python, QGIS, GDAL/OGR.