The content of this course consists of the following four parts: Part One introduces the concept of abstract data type (ADT) and the basic methods for time-space complexity analysis.

课程的主要内容分为以下几个部分：第一部分介绍算法基础和抽象数据结构（ADT） ，以及算法的性能分析和测试；

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As I discussed in Part I, the distribution of teams across time and space introduces challenges and increases complexity throughout the software and systems development lifecycles.

正如我在第一部分所讨论的，团队跨越时间以及空间的分布给整个软件和系统开发的周期内带来了挑战并增加了复杂性。

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At the theoretical end, this focus manifests itself in complexity theory, which groups algorithms according to their time and space requirements for execution.

除理论之外，这种专注表现在本身复杂性的理论，它根据它们运行的时间和空间需求来组织算法。

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