Networks, graphs etc.

In this course you'll learn about the tools used by scientists to understand complex systems. The topics you'll learn about include dynamics, chaos, fractals, information theory, self-organization, agent-based modeling, and networks. You’ll also get a sense of how these topics fit together to help...

Center for Complex Network Research Northeastern University Physics Department

Biology & Life Sciences
Computer Science
Social Sciences
Mathematics, Statistics and Data Analysis
Course added: 22 September 2013

The course is an interdisciplinary course, focused on the emerging science of complex networks and their applications. The material includes the mathematics of networks, their applications to biology, sociology, technology and other fields, and their use in the research of real complex systems in nature...

Stanford University

Computer Science
Economics & Finance
Mathematics, Statistics and Data Analysis
Course added: long ago

Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? We will bring together models and techniques from economics, sociology, math...

Теория графов - это наука, богатая исключительно красивыми задачами, постановки которых доступны пониманию школьника. Однако многие из этих задач крайне трудны и даже не решены до сих пор. В то же время теория графов - это отнюдь не только собрание ярких вопросов и фактов - "жемчужин", - это мощная ...

This course will use social network analysis, both its theory and computational tools, to make sense of the social and information networks that have been fueled and rendered accessible by the internet. Everything is connected: people, information, events and places, all the more so with the advent of...

This class will give you an introduction to the design and analysis of algorithms, enabling you to analyze networks and discover how individuals are connected.

This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational...

In this course you will learn several fundamental principles of algorithm design: divide-and-conquer methods, graph algorithms, practical data structures (heaps, hash tables, search trees), randomized algorithms, and more. In this course you will learn several fundamental principles of algorithm design...

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part II covers graph-processing algorithms, including minimum spanning tree and shortest...

This course covers several mathematical techniques that are frequently used in complex systems science. The techniques are covered in independent units, taught by different instructors. Each unit has its own prerequisites. Note that this course is meant to introduce students to various important...

In this class, you will learn how to think with models and use them to make sense of the complex world around us. We live in a complex world with diverse people, firms, and governments whose behaviors aggregate to produce novel, unexpected phenomena. We see political uprisings, market crashes, and a...

Explore the critical questions posed by how the social, economic, and technological realms of the modern world interconnect. About this Course The course invites you to examine the interconnectedness of modern life through an exploration of fundamental questions about how our social, economic, and technological...

Princeton University

Computer Science
Economics & Finance
Engineering & Technology
Course added: long ago

This course serves as an introduction to the basic principles that govern all aspects of our networked lives. We will learn about companies like Google and technologies like the Internet in a way that requires no mathematics beyond basic algebra. Networks are
everywhere. From the social connections we...

Networks are a ubiquitous way to represent complex systems, including those in the social and economic sciences. The goal of the course is to equip students with conceptual tools that can help them understand complex systems that emerge in both nature and social systems. This is a course intended for...

Networks are ubiquitous in our modern society. The World Wide Web that links us to and enables information flows with the rest of the world is the most visible example. It is, however, only one of many networks within which we are situated. Our social life is organized around networks of friends and...

Princeton University

Computer Science
Economics & Finance
Engineering & Technology
Course added: long ago

A course driven by 20 practical questions about wireless, web, and the Internet, about how products from companies like Apple, Google, Facebook, Netflix, Amazon, Ericsson, HP, Skype and AT&T work.
In this offering, we will cover 7 of the 20 questions, and you will have the opportunity to personalize...

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