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Building Information Modeling
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2015
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e-book
"This Competency introduces the basic principles governing the structure and the behaviour of solids, liquids, and gases. You will look at the effects forces have on objects and the basic machines that transmit a force. You will also examine the effects of thermal and electrical energy. The following list of lines and competencies was generated with the goal of creating an entry-level trades training resource, while still offering the flexibility for lines to be used as stand-alone books. Line D - Organizational Skills. D-1 Solve Trades Mathematical Problems, D-2 Apply Science Concepts to Trades Applications, D-3 Read Drawings and Specifications, D-4 Use Codes, Regulations, and Standards, D-5 Use Manufacturer and Supplier Documentation, D-6 Plan Projects."--BC Campus website.
- Subjects:
- Electronic and Information Engineering, Electrical Engineering, and Mechanical Engineering
- Keywords:
- Textbooks Building trades Industrial arts
- Resource Type:
- e-book
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e-book
Introduction to the Modeling and Analysis of Complex Systems introduces students to mathematical/computational modeling and analysis developed in the emerging interdisciplinary field of Complex Systems Science. Complex systems are systems made of a large number of microscopic components interacting with each other in nontrivial ways. Many real-world systems can be understood as complex systems, where critically important information resides in the relationships between the parts and not necessarily within the parts themselves. This textbook offers an accessible yet technically-oriented introduction to the modeling and analysis of complex systems. The topics covered include: fundamentals of modeling, basics of dynamical systems, discrete-time models, continuous-time models, bifurcations, chaos, cellular automata, continuous field models, static networks, dynamic networks, and agent-based models. Most of these topics are discussed in two chapters, one focusing on computational modeling and the other on mathematical analysis. This unique approach provides a comprehensive view of related concepts and techniques, and allows readers and instructors to flexibly choose relevant materials based on their objectives and needs. Python sample codes are provided for each modeling example.
- Subjects:
- Computing
- Keywords:
- System analysis -- Mathematical models Computational complexity Textbooks System theory -- Mathematical models
- Resource Type:
- e-book