I want to give you an overview of what we're going to be covering in this module.

我想向大家概述一下本模塊的內容。

So we're going to start off by talking about what Data Structures and Algorithms is going to cover.

是以，我們首先要談談《數據結構與算法》將涵蓋哪些內容。

One of the things it covers is computational problems.

其中一項內容就是計算問題。

So we'll talk about what we mean by computational problems, and we'll look at a specific example computational problem.

是以，我們將談談計算問題的含義，並看一個具體的計算問題示例。

We'll look at example algorithms that can solve that computational problem, and then we'll talk a little bit about different forms of evaluation and analysis.

我們將舉例說明可以解決該計算問題的算法，然後再談談不同形式的評估和分析。

So this class largely focuses on dealing with collections of data, organization and interaction with data, what we call computational problems, and that includes comparing and contrasting different approaches to interacting with the data.

是以，這門課主要側重於處理數據集合、數據組織和數據交互，也就是我們所說的計算問題，其中包括比較和對比不同的數據交互方法。

So let's look at a real-world example.

讓我們來看一個真實的例子。

So an example piece of data might be something like a book.

是以，一個數據示例可能是一本書。

So let's think about like a nonfiction book, maybe a nonfiction book specifically on something like neurology.

是以，讓我們考慮一下非虛構類書籍，也許是一本專門關於神經學之類的非虛構類書籍。

Just one book is pretty easy to manage.

只要一本書就很容易管理。

If we have lots and lots of books, if we just have them in a gigantic heap, our information is very disorganized, and it would be hard to access and even find our book on neurology.

如果我們有很多很多的書，如果我們只是把它們放在一個巨大的堆裡，我們的資訊就會非常混亂，甚至很難查閱和找到我們關於神經學的書。

So that's why libraries have developed comprehensive systems to organize that data.

是以，圖書館開發了全面的系統來組織這些數據。

The way we want to access the data impacts the way we organize that data.

我們訪問數據的方式會影響我們組織數據的方式。

So typically libraries put their nonfiction books in order by a call number where dominant themes are grouped together.

是以，圖書館通常會將非虛構類圖書按照書號排序，將主要主題集中在一起。

So for example, all the books that are primarily on neurology are in the same area of the library and usually on the same couple of shelves.

例如，所有以神經病學為主的書籍都在圖書館的同一區域，而且通常都在同一個書架上。

So we're going to be looking at computational approaches to organizing data because it is vital to interact with data in reasonable ways that make sense for how we want to use that data.

是以，我們將研究組織數據的計算方法，因為以合理的方式與數據交互至關重要，而這種交互方式對於我們如何使用這些數據至關重要。