What science underlies companies like Facebook, Twitter and Google?
How does your position in a social network (dis)advantage you?
What do game theory and the Paris subway have to do with Internet routing?
How might a social network influence election outcomes?
What are the economics of email spam?
How does Google find what you're looking for... and exactly how do they make money doing so?
Networked Life looks at how our world is connected -- socially, strategically and technologically -- and why it matters.
The answers to the questions above are related. They have been the subject of a fascinating intersection of disciplines, including computer science, physics, psychology, sociology, mathematics, economics and finance. Researchers from these areas all strive to quantify and explain the growing complexity and connectivity of the world around us, and they have begun to develop a rich new science along the way.
Networked Life will explore recent scientific efforts to explain social, economic and technological structures -- and the way these structures interact -- on many different scales, from the behavior of individuals or small groups to that of complex networks such as the Internet and the global economy.
This course covers computer science topics and other material that is mathematical, but all material will be presented in a way that is accessible to an educated audience with or without a strong technical background. The majority of the course is grounded in scientific and mathematical findings of the past two decades or less (often much less).
Networked Life is the flagship course of the new Networked and Social Systems Engineering program at the University of Pennsylvania.
Gregory J Hamel ( Life Is Study) completed this course and found the course difficulty to be easy.
Networked Life is course offered by the University of Pennsylvania through Coursera, which provides a gentle introduction to network and graph theory. It covers the basics of network structure, network formation models and networked games. The course...
Networked Life is course offered by the University of Pennsylvania through Coursera, which provides a gentle introduction to network and graph theory. It covers the basics of network structure, network formation models and networked games. The course consists of 7 weeks of lecture content--typically three 8-20 minute videos per week--with a 8-10 question quiz for each video. The quizzes aren't too difficult and you get 2 attempts, but since there is one quiz for every lecture video, you'll be spending a significant proportion of your total class time answering quiz questions. The course doesn't get into network algorithms or computing: it focuses on basic network structure, formation and games, so you can take this course without any programming or math background.
Networked Life debuted about 2 years ago, making it among the first courses available on Coursera, so the presentation and slide quality are a bit dated. The lecturer mainly reads directly off slides and you spend the majority of lecture time looking at static slides written in Comic Sans as the lecturer explains them in greater detail. The information is solid and generally interesting but the presentation is often a bit dull when there are no illustrations on the screen. The quizzes are probably the best part of the course; even though they are easy they help reinforce the content and break what might otherwise become a tedious slog through lecture video after lecture video. The course is self-paced, so despite it having "7 weeks" of content, you can finish it faster if you want to.
Networked Life is an accessible introduction to networks and while the presentation isn't great, the topics are interesting and the frequent quizzes help keep you engaged.
I give networked like 3.5 out of 5 stars: Good.
Anonymous completed this course.
Liked the course a lot. Well thought out and organized. It is targeted to a very wide audience (so don't expect it to be (say) maths heavy.) If you are interested in the area, the instructor provides a long list of optional readings. Highly recommended course (don't mind your background, you will surely get something out of this course.)
Anonymous completed this course.
I'm realy interested in the subject but there something needs to be done to make lectures more alive otherwise it feels like attending boring company meeting