In this course, you will learn about Design Coordination, Engineering Analysis, Visualization, Clash Detection, and Level of Development. "Design Authoring - Federated Model" introduces ISO 19650 concepts and the benefits of Federated Models, guiding you through creating a federated model using Autodesk Revit with practical examples. "Design Authoring - Engineering Analysis" … [Read more...] about BIM Coordination
Physical Science and Engineering
Resilience & Leadership: Design, Development, & Integration
Resilience & Leadership: Design, Development, & Integration is the third course of the ‘Resilience Engineering and Leadership in Crisis’ specialization. This course emphasizes the importance of practices like organizational learning and adaptive change management amid uncertainty. Resilience engineering principles and strategies are combined with critical leadership … [Read more...] about Resilience & Leadership: Design, Development, & Integration
Geospatial Information Technology Essentials
The "Geospatial Information Technology Essentials" course offers a multi-disciplinary approach, integrating key aspects of both Geospatial and Information Technology. Organized into seven comprehensive modules, it provides a thorough learning experience. Module One introduces the fundamentals of Geographic Information Systems (GIS), covering its applications, hardware … [Read more...] about Geospatial Information Technology Essentials
Kalman Filter Boot Camp (and State Estimation)
Introduces the Kalman filter as a method that can solve problems related to estimating the hidden internal state of a dynamic system. Develops the background theoretical topics in state-space models and stochastic systems. Presents the steps of the linear Kalman filter and shows how to implement these steps in Octave code and how to evaluate the filter’s output. … [Read more...] about Kalman Filter Boot Camp (and State Estimation)
Linear Kalman Filter Deep Dive (and Target Tracking)
As a follow-on course to "Kalman Filter Boot Camp", this course derives the steps of the linear Kalman filter to give understanding regarding how to adjust the method to applications that violate the standard assumptions. Applies this understanding to enhancing the robustness of the filter and to extend to applications including prediction and smoothing. Shows how to … [Read more...] about Linear Kalman Filter Deep Dive (and Target Tracking)
