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20 - CCE - Construction, Civil and Marine Engineering
CCE 140 - Data Science Applications in Construction Project Management
| Code | Start Date | Duration | Venue | |
|---|---|---|---|---|
| CCE 140 | 09 December 2024 | 5 Days | Istanbul | Registration Form Link |
| CCE 140 | 13 January 2025 | 5 Days | Istanbul | Registration Form Link |
| CCE 140 | 10 March 2025 | 5 Days | Istanbul | Registration Form Link |
| CCE 140 | 05 May 2025 | 5 Days | Istanbul | Registration Form Link |
| CCE 140 | 30 June 2025 | 5 Days | Istanbul | Registration Form Link |
| CCE 140 | 25 August 2025 | 5 Days | Istanbul | Registration Form Link |
| CCE 140 | 20 October 2025 | 5 Days | Istanbul | Registration Form Link |
| CCE 140 | 15 December 2025 | 5 Days | Istanbul | Registration Form Link |
Course Description
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.
Course Objectives
- Introducing major technical topics include data loading, processing, visualization
- Being comfortable in using the Python programming language
- Providing numerous learning paths for various built environment-related tasks
- Demonstrating the foundational functions of Pandas
Who Should Attend?
- Architects
- Engineers
- Construction professionals
Course Details/Schedule
Day 1
- Introduction to Course and Python Fundamentals
- Overview of key Python concepts
- Motivating factors for building industry professionals to learn to code
- Discussing real life eamples
Day 2
- Introduction to the Pandas Data Analytics Library and Design Phase Application
- The foundational functions of Pandas
- Processing data from parametric EnergyPlus models.
- Building Information Modeling (BIM)
- Spatial analytics
- Building performance modeling Python libraries
Day 3
- Pandas Analysis of Time-Series Data from IoT and Construction Phase Application
- Analysis of hourly IoT data from electrical energy meters
- Project management
- Building management system (BMS)
- Data analysis
- Digital construction
- Robotic fabrication
Day 4
- Statistics and Visualization Basics
- Operations Phase Application
- Various statistical aggregations and visualization techniques using Pandas and the Seaborn library
- ASHRAE Thermal Comfort Database II
- Energy auditing
- IoT analysis
Day 5
- Introduction to Machine Learning for the Built Environment
- Motivations and opportunities for the use of prediction in the built environment
- Prediction, classification, and clustering using the sci-kit learn library
