دوره وبیناری جامع کاربرد AI در ساخت،معماری و مهندسی

Data Science for Construction, Architecture and Engineering

سر فصل های دوره

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v  Introduction and Orientation

v  Python Fundamentals

·         Overview of Course

·         Data Sets Overview

·         Overview of the Data Sets and Applications in the Course

·         Explanation of the Tools: Python, Pandas, and Colaboratory Notebooks

·         High Level Overview

·         Colab Introduction Video by Google

·         Introduction to Colaboratory

·         Starting with Notebooks

·         Python Variables and Operators

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v  Python Fundamentals (Control – Statements – Functions- Libraries)

v  Real World Data Science Tools and Applications

·         Control Statements

·         Data Types

·         Python Functions

·         Python Libraries

·         Python Data Structures

·         Quiz 2 (Python Fundamentals 2)

·         Explanation of Real World Data Science Tools and                        Applications

·         Introduction to build Environment Data Science Characters

·         SDE4 Case Study Introduction

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v  Design Phase Data Science Overview

v  Pandas library Fundamentals

·         Design Phase of the Building Industry

·         Introduction to the Pandas Library and its Functions

·         Introduction to Case Study

·         Pandas Data Frame Object

·         Pandas Flies Input Functions

·         Selecting Subsets of Data from Data Frames

·         Introduction to Plotting with Pandas

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v  Application Example (Simulation Data Processing)

v  Design Phase Real World Data

v  Science Tools and Applications

·         Pandas Concatenate Function to Combine Data

·         Making a New Column and Function

·         Comparison of Design Options

·         Debugging Problems and Using Stack Overflow

·         Design Phase Data Science Characters

·         Rhino and Grasshopper Platform

·         Generative Design

·         Ladybug Tools for Performance Simulation

·         Revit Python Sell Production

·         Energy Plus Automation

·         Design Builder and IESVE Python

·         SDE4 Case Study- Integrated Design Process

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v  Construction Phase Data Science Overview

v  Analysis of Time-Series IoT Data

·         Introduction to the Building Data Genome Board

·         Pandas for Time Series Overview

·         Introduction to Building Data Genome Project

·         Loading Time-Series Data Using Pandas

·         Time-Series Objects in Pandas Data Frame

·         Time-Series Frequency Resampling Function

·         Time-Series Analysis Truncation Function

·         Visualizing Patterns in Time-Series Data

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v  Normalization and Weather Data Analysis

v  Construction Phase Real-World Data

v  Science Tools and Applications

·         Building Energy Data Normalization Process

·         Energy Comparison OF Group of Buildings

·         Removing Outliers in Time-Series Weather Data

·         Merging Weather and Energy Data

·         Construction Phase Data Science Characters

·         Building Commissioning Process

·         Getting Time-Series IoT/BMS Data from REST API

·         BRICK Metadata Scheme for Buildings

·         Digital Fabrications and Robotics

·         SDE4 Case Study (Energy and Comfort Systems)

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v  Operation Phase Data Science Overview

v  Pandas Statistics, Reshaping and Visualization Functions

·         Operation Phase of the Building Industry

·         Pandas Visualization and statistics

·         High Level Overview

·         Introduction to Thermal Comfort Data

·         Pandas Statistical Descriptor Functions

·         Pandas Aggregation Functions

·         Pivoting and Reshaping Functions

·         Grouping Functions

·         Box Plot Visualization

·         Scatterplot and Histogram Visualization

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v  Analysis of Thermal Comfort Data in Building Operations

v  Operation Phase Real-World Data Science Tools and Applications

·         What Makes People Feel Comfortable?

·         What Personal Factors Contribute to Comfort?

·         Does Location of the Study Have an Impact?

·         Operation Phase Data Science Characters

·         Occupant Feedback Case Study

·         Case Study 1

·         Case Study 2

·         Operation Phase Discussion

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v  Overview of Introduction to Machine Learning (ML) for Buildings

v  Machine Learning Introduction and Unsupervised Clustering

·         Machine Learning and Prediction for Buildings

·         Python ML Library – Scikit Learn Introduction

·         High Level Overview

·         Introduction to Scikit- Learn Library

·         Unsupervised ML Introduction

·         Daily Load Profile Generation

·         K-Means Clustering of Daily Load Profiles

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v  Supervise Machine Learning for Regression and Classifications

v  Machine Learning Real-World Data Science Tools and Applications

·         Introduction to Regression

·         Regression for Hourly Prediction

·         Introduction to Classification prediction

·         Random Forest Machine Learning Model for Classification

·         Classification Performance Metrics and Visualization

·         Machine Learning Characters

·         Kaggel Machine Learning Platform Overview

·         ASHRAE Great Energy Predictor Competition

·         Machine Learning Application Discussion

·         Conclusion and Tips for Keep Learning

·         Final Discussion board

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