Listen to Coronavirus Patient Zero
This is the sixth edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hoberman's website, stevehoberman.com.The Master Class is a complete data modeling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. After learning the styles and steps in capturing and modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model ScorecardÂ®. You will know not just how to build a data model, but how to build a data model well. Two case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects.Top 10 Objectives 1. Explain data modeling components and identify them on your projects by following a question-driven approach 2. Demonstrate reading a data model of any size and complexity with the same confidence as reading a book 3. Validate any data model with key "settings" (scope, abstraction, timeframe, function, and format) as well as through the Data Model ScorecardÂ® 4. Apply requirements elicitation techniques including interviewing, artifact analysis, prototyping, and job shadowing 5. Build relational and dimensional conceptual and logical data models, and know the tradeoffs on the physical side for both RDBMS and NoSQL solutions 6. Practice finding structural soundness issues and standards violations 7. Recognize when to use abstraction and where patterns and industry data models can give us a great head start 8. Use a series of templates for capturing and validating requirements, and for data profiling 9. Evaluate definitions for clarity, completeness, and correctness 10. Leverage the Data Vault and enterprise data model for a successful enterprise architecture.
Discusses the application of mathematical and engineering tools for modeling, simulation and control oriented for energy systems, power electronics and renewable energyÂ
This book builds on the background knowledge of electrical circuits, control of dc/dc converters and inverters, energy conversion and power electronics. The book shows readers how to apply computational methods for multi-domain simulation of energy systems and power electronics engineering problems. Each chapter has a brief introduction on the theoretical background, a description of the problems to be solved, and objectives to be achieved. Block diagrams, electrical circuits, mathematical analysis or computer code are covered. Each chapter concludes with discussions on what should be learned, suggestions for further studies and even some experimental work.
The simulation files are available for readers who register with the Google Group: firstname.lastname@example.org. After your registration you will receive information in how to access the simulation files, the Google Group can also be used to communicate with other registered readers of this book.
Marcelo Godoy SimÃµes is the director of the Center for Advanced Control of Energy and Power Systems (ACEPS) at Colorado School of Mines. He was an US Fulbright Fellow for Aalborg University, Institute of Energy Technology (Denmark).Â He is IEEE Fellow, with the citation: "for applications of artificial intelligence in control of power electronics systems." Dr. SimÃµes is a pioneer to apply neural networks and fuzzy logic in power electronics, motor drives and renewable energy systems. He is co-author of the book Integration of Alternative Sources of Energy (Wiley 2006), now in the second edition.ÂFelix A. Farret is co-author of the book Integration of Alternative Sources of Energy (Wiley 2006, now in the second edition). Currently he is a Professor in the Department of Processing Energy, Federal University of Santa Maria, Brazil. Since 1974, he has taught undergraduate and graduate courses and has been conducting research and development in industrial electronics and alternative energy sources.
Focusing on polarization matrix optics in many forms, this book includes coverage of a wide range of methods which have been applied to LCD modeling, ranging from the simple Jones matrix method to elaborate and high accuracy algorithms suitable for off-axis optics. Researchers and scientists are constantly striving for improved performance, faster response times, wide viewing angles, improved colour in liquid crystal display development, and with this comes the need to model LCD devices effectively. The authors have significant experience in dealing with the problems related to the practical application of liquid crystals, in particular their optical performance.
Australian Models Articles
Australian Models Books