Last updated 2/2015MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 334.85 MB | Duration: 2h 7m
The science of a complex world What you'll learn The aim of this course is to give you an overview to the main areas of complexity science Requirements There are no prerequisites to this course (though some prior knowledge of complexity theory would be of great benifit) aside for a firm grasp of the english language and a basic level of general scientific knowledge Description Complexity Science is a science for the complex world we live in at the turn of the 21st century, by using new theories that let us look at age old problems with a fresh perspective and leveraging the use of powerful computation and large data sets it is offering us new insight into the fundamental workings of our interconnected world of networks, globalization and sustainability. This course gives an overview to the emeg new area of science that is complexity science. By applying the tools of complexity theory such as network analysis, systems theory and self organization, complexity science studies the complex systems in our world that have traditionally been some what overlooked, such as chaotic weather patterns, social networks, transportation systems or the spread of pands, to name just a few. This course will cover some of the main applications of complexity theory to various scientific, domains such as: Social network analysis is the application of network theory and the tools of data analysis to the modeling of social systems. With the arrival of high-powered computing and the proliferation of data sets relating to social interaction, social network analysis is taking off. Earth systems science is the study of earth as a complex adaptive system. Inherently interdisciplinary it crosses the scientific boundaries to treat the earth as an integrated system. This section introduces you to the application of complexity theory to the modeling and analysis of our planet. Complexity economics is part of a new set of ideas surrounding economic theory, it sees the economy as a complex system evolving over through the interaction of multiple adaptive elements that give rise to the emergent structures of enterprises and whole markets. Complex technology systems are large networks composed of multiple highly interconnected technologies, such as electrical power grids, telecommunication networks, transportation networks or global supply chains. The organization of these systems involves a web of connections and demonstrates self-driven adaptability and emergence behaviour. The tools of complexity theory are bning to be applied to modeling these technologies and helping us to get a better understanding of their operations. Overview Section 1: Complexity science overview Lecture 1 Complexity science: an overview Lecture 2 Complexity science digging deeper Section 2: Tools of complexity science Lecture 3 Complex Systems: an introduction Lecture 4 Key Concepts of Complexity theory Lecture 5 Tools of Complexity Science Section 3: Earth Systems Science Lecture 6 Earth Systems Science: an overview Lecture 7 Earth Systems Science: digging deeper Section 4: Complex technology systems Lecture 8 Complex technology systems: an overview Lecture 9 Complex Socio-Technical systems Section 5: Complexity economics Lecture 10 Complexity Economics introduction Lecture 11 Complexity economics: Key concepts Section 6: Social Network Analysis Lecture 12 Social network analysis: an overview Lecture 13 Social network analysis: digging deeper This course is intended for a broad group of people but will be particularly relevant for those with a background in a technical domain such a some area of math, science, eeering or business HomePage:
TO MAC USERS: If RAR password doesn't work, use this archive program:
RAR Expander 0.8.5 Beta 4 and extract password protected files without error.
TO WIN USERS: If RAR password doesn't work, use this archive program:
Latest Winrar and extract password protected files without error.