数据结构:性能评估与优化

Data structures: Measuring and Optimizing Performance

Part of a 5-course series, the Java Programming: Object-Oriented Design of Data Structures Specialization

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数据结构:性能评估与优化
  • 分类: 计算机
  • 平台: Coursera
  • 语言: 英语

About this Course

How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets. Efficiency is critical, but how do we achieve it, and how do we even measure it?

In this course, you will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables. You will explain how these data structures make programs more efficient and flexible. You will apply asymptotic Big-O analysis to describe the performance of algorithms and evaluate which strategy to use for efficient data retrieval, addition of new data, deletion of elements, and/or memory usage.

The program you will build throughout this course allows its user to manage, manipulate and reason about large sets of textual data. This course is designed around the same video series as in our first course in this specialization, including explanations of core content, learner videos, student and engineer testimonials, and support videos — to better allow you to choose your own path through the course!

数据结构:性能评估与优化 is course 2 of 5 in the Java Programming: Object-Oriented Design of Data Structures Specialization.

This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.

授课教师

Christine Alvarado
Associate Teaching Professor
Computer Science and Engineering

Mia Minnes
Assistant Teaching Professor
Computer Science and Engineering

Leo Porter
Assistant Teaching Professor
Computer Science and Engineering

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