Networked Life

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9/10 stars
based on  13 reviews
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Cost FREE
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Course Details

Cost

FREE

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  • On demand

Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4715 reviews

Course Description

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.
Reviews 9/10 stars
13 Reviews for Networked Life

Ratings details

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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Afref Fetter profile image
Afref Fetter profile image
7/10 starsCompleted
  • 12 reviews
  • 12 completed
6 years, 8 months ago
Prior experience in the field: None Like: Gave a good overview about networks, covering many topics in the field. Was a very easy course to complete/get a certificate. Dislike: No programming assignments to let you implement what you'd read about. A lot of time in the lectures were spent just reading the slides/providing trivial explanations. The quizzes tested stuff that was explicitly mentioned in the lectures - your hearing skills were tested, rather than your thinking skills. The quizzes had the same questions on the second attempt - making it very easy to ace every quiz. Suggested improvements: Add some programming assignments. Make the quizzes worthwhile (or discard them). Overall: A nice course if all you want is an introduction to networks (and a certificate), but you wouldn't want to tell others that you know anything in the field, since you yourself won't be sure!
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Greg Hamel profile image
Greg Hamel profile image
7/10 starsCompleted
  • 116 reviews
  • 107 completed
4 years, 11 months ago
Networked life is a gentle introduction to network/graph theory that 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 st... Networked life is a gentle introduction to network/graph theory that 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.
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Richard Taylor profile image
Richard Taylor profile image
10/10 starsCompleted
  • 29 reviews
  • 28 completed
4 years, 11 months ago
A very nice introduction to neworks including social networks, models and economic networks with some game theory. Prof Kearns is really terrific explaining, clear and precise. His only fault is his total lack of knowledge in the field of geography :) There are well designed quizzes to practice the content of each video lecture no programming, exams or any other assignments and the whole material is available from day 1 so you can really go at your own pace. I'd like to say something about the comments mentioning prof Kearns reading long slides. He is not reading, he uses the slides to highlight the topics he explains, the slides are very well constructed because they can be used as a summary of what was discussed in each lesson. A really beautiful course with a great instructor, not difficult at all. Highly recommended.
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Marc Romeu Bel profile image
Marc Romeu Bel profile image
8/10 starsCompleted
  • 9 reviews
  • 5 completed
4 years, 11 months ago
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Ricardo Teixeira profile image
Ricardo Teixeira profile image
10/10 starsCompleted
  • 86 reviews
  • 77 completed
4 years, 11 months ago
This is a five-star course on the topic of networks - social, but also economic and ecological. I thoroughly enjoyed every minute of it. As someone with no exposure on the topic, I appreciate the soft learning curve. The course build momentum as it grows in complexity, which is a perfect teaching strategy. It informs, but it also inspires. You get to understand the open threads quite well. The quizzes are conceptually challenging - you need to know what you're doing. But if you pay attention and follow the classes, it is relatively easy to get the questions right. By the way, the materials are all put online in the beginning, so you're able to do the course in one go. That is excellent. Overall, I could not recommend this course more, as long as this is a topic you find appealing. I've tried other courses in the same area, and ended up quitting - so this one is surely worth a closer look.
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Dianne Owens profile image
Dianne Owens profile image
9/10 starsCompleted
  • 30 reviews
  • 30 completed
4 years, 11 months ago
This course was my introduction to network science. It was fast-paced and offered lots of variety in the materials covered, yet those materials were logically connected. And there was a running gag wherein Michael Kearns appeared in front of some random image in the introduction to each video, which was a great ice-breaker. Though I suffered from poor mathematics, the course was highly enjoyable for me.
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Duncan Murray profile image
Duncan Murray profile image
8/10 starsCompleted
  • 25 reviews
  • 24 completed
5 years, 7 months ago
I had some prior experience with this (Model Thinking course), but still got useful information from this course. It is a great, compact course giving a good introduction to Networks. The lectures are interesting, but the best part is that all videos and quizzes are available from day 1, so if you have done some of this before, you can move through the course quickly at your own pace. I wish more courses would offer this method.
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Winthrop Yu profile image
Winthrop Yu profile image
8/10 starsDropped
  • 33 reviews
  • 27 completed
5 years, 9 months ago
I had to drop this course due to time constraints, and considering i had just completed another "Network" course. I have it on my watchlist and may take it up again in the future. Prof. Kearns explains the subject very well and the course material is excellent. The issue (for me) here was the detail -- there's lots of it and it's not something you can readily absorb if you're in the middle of personal crunch-time. Downside - perhaps too much detail.
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Krista Garver profile image
Krista Garver profile image
7/10 starsCompleted
  • 11 reviews
  • 10 completed
6 years, 8 months ago
I was not sure what to expect from this course, but I ended up really enjoying it. The course takes a mathematical approach to describing and analyzing networks, particularly social networks. Michael Kearns does a good job of distilling a lot of information into a short course. I recommend this course, but there were a few rough spots: \-- The first half of the course, where he lays the foundation, is very theoretical and a bit difficult to follow for non-math people. Professor Kearns presents the information quickly and at a high level, and I found some of it quite intimidating. There was one slide where he put up a very complex equation, using symbols I had no idea existed, and I thought "Oh no!" However, the second half of the course is absolutely worth wading through the first half! When he got into sociological phenomena and real-world applications, I was very glad I had stuck it out. \-- The lecture slides, especially during th... I was not sure what to expect from this course, but I ended up really enjoying it. The course takes a mathematical approach to describing and analyzing networks, particularly social networks. Michael Kearns does a good job of distilling a lot of information into a short course. I recommend this course, but there were a few rough spots: \-- The first half of the course, where he lays the foundation, is very theoretical and a bit difficult to follow for non-math people. Professor Kearns presents the information quickly and at a high level, and I found some of it quite intimidating. There was one slide where he put up a very complex equation, using symbols I had no idea existed, and I thought "Oh no!" However, the second half of the course is absolutely worth wading through the first half! When he got into sociological phenomena and real-world applications, I was very glad I had stuck it out. \-- The lecture slides, especially during the first half of the course, are quite dull -- lines and lines of dense text. \-- The quizzes (again during the first half of the course) are tough without the math background to understand all of the equations. However, despite all of this, the concepts are fascinating, and the course is well worth the time. For people who do not have time or energy to brush up on the math, the course is still worth auditing.
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Robert Komartin profile image
Robert Komartin profile image
10/10 starsCompleted
  • 19 reviews
  • 16 completed
6 years, 10 months ago
Well done, Dr. Kearns! Outstanding intro "broadcasting live from beautiful downtown Philadelphia" into the matters of graphs and social networks. Really loved it!
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Lloyd Melnick profile image
Lloyd Melnick profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
6 years, 8 months ago
This was a fantastic experience. My first online course and I was impressed at how structured and valuable it was. I learned more from this course that I could apply in business than probably anything else in my education (and I have completed three traditional masters programs). If you are in the social media space, in particular, it will give you a great understanding of the underlying dynamics driving the industry.
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Vadim Solomonik profile image
Vadim Solomonik profile image
8/10 starsCompleted
  • 6 reviews
  • 6 completed
6 years, 8 months ago
well done introduction into network concepts. the lectures by prof. Michael Kearns are very digestible.
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Milene Pereira profile image
Milene Pereira profile image
10/10 starsCompleted
  • 3 reviews
  • 3 completed
6 years, 10 months ago
I enjoyed this experience.Dr. Michael Kearns fulfill my ambition to understand how the social network works.
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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.