Building Information Modeling – BIM is an intelligent 3D model-based process that gives architectural, engineering and construction professionals the insight and tools to efficiently plan, design, construct and manage buildings and infrastructure. The course addresses the rapidly evolving needs of the built environment sector with respect to the emergence of BIM as a working practice. BIM manager plays a crucial role in advising clients, internal and external stakeholders on the benefits of BIM, and in implementing and managing the major BIM processes. This requires the demonstration of a complete knowledge of the BIM process & the ability to create the project environment in which BIM can realize its full potential.

In this course, learners will be guided through each of the major project stages, from the strategic definition of the project right through to handover, operations, and end of use. At each stage, the trainer will demonstrate how to balance technical requirements with project management skills, so the students are confident in implementing BIM methodology. The course covers the key skills and competencies required for implementing BIM-Building Information Modelling to AECO-Architecture, Engineering, Construction & Operation projects.

应用的学习项目

The first course explores BIM's origins, evolving from 2D drawings to object-based modeling, with real-world examples. Modules introduce the ISO 19650 workflow and Autodesk Revit, covering interface essentials and core concepts, with hands-on BIM modeling in Architecture, Structure, and MEP. The second course covers Design Coordination, Engineering Analysis, Visualization, Clash Detection, and Level of Development (LOD), including federated models, structural strength, energy performance, lighting optimization, AR/VR/MR visualization, clash detection, and LOD definitions. "Field BIM" provides an overview of 4D and 5D BIM applications, including ISO 19650 standards, CDE concepts, networking, 4D BIM for construction scheduling, collaboration, site planning, safety protocols, risk analysis, quantity takeoff, Asset Information Modeling, COBie, IoT, Big Data, AI, ML, and Digital Twin technologies, preparing learners for future innovations.