You pick up your iPhone while waiting in line at a coffee shop. You google a not-so-famous actor, get linked to a Wikipedia entry listing his recent movies and popular YouTube clips of several of them. You check out user reviews on Amazon and pick one, download that movie on BitTorrent or stream that in Netflix. But suddenly the WiFi logo on your phone is gone and you're on 3G. Video quality starts to degrade, but you don't know if it's the server getting crowded or the Internet is congested somewhere. In any case, it costs you $10 per Gigabyte, and you decide to stop watching the movie, and instead multitask between sending tweets and calling your friend on Skype, while songs stream from iCloud to your phone. You're happy with the call quality, but get a little irritated when you see there're no new followers on Twitter. You may wonder how they all kind of work, and why sometimes they don't. Take a look at the list of 20 questions below. Each question is selected not just for its relevance to our daily lives, but also for the core concepts in the field of networking illustrated by its answers. This course is about formulating and answering these 20 questions.
All the features of this course are available for free. It does not offer a certificate upon completion.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 2 小時
An introduction to what we will explore in this course: 20 practical questions and their answers, about your networked life....
We study cellular network technology, the air interface between end-user devices and base stations, and an important algorithm which has been developed to manage interference between our devices as they share this medium: Distributed Power Control. ...
How does Google sells the ads that appear on its search results page through auctions? We learn about different types of auction mechanisms, including those for single and multiple items. QUESTION 3: We explore PageRank, the famous algorithm that underlies how Google orders its list of search results whenever we type in a query....
As a user of Netflix, you may have had movies recommended for you to watch. Behind the scenes, Netflix is leveraging powerful machine learning to determine which will be recommended to you specifically. In this lecture, we will study some of the fundamental algorithms that have been used for this purpose....
The decision of whether or not to make an online purchase is often driven by feedback that has been left by past customers, commonly in the form of star ratings. In this lecture, we will study Amazon's review system. In doing so, we will explore some of the methods for, and challenges behind, rating aggregation....
In this lecture, we focus on the concepts of crowdsourcing and consensus formation, which are two of the mechanisms allowing Wikipedia to be both a scalable and (reasonably) accurate encyclopedia. In particular, we will look at different voting systems, which are ways of determining consensus from a collection of individual preferences....
In this lecture, we will study models that have been developed for the popularity of products over time, motivated by the phenomenon of videos going "viral" on YouTube. Overall, the theme will be the dependence of opinions, as opposed to the wisdom of crowds discussed in the previous two lectures....
Princeton University is a private research university located in Princeton, New Jersey, United States. It is one of the eight universities of the Ivy League, and one of the nine Colonial Colleges founded before the American Revolution....