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所在平台: Udemy |
课程主页: https://www.udemy.com/course/algorithms-and-software-engineering-for-professionals/
课程评论：没有评论
课程名称：面向专业人士的算法与软件工程 概述：在构建任何东西之前，都必须从基础开始。理解一个概念的基本原则及其核心内容对于软件编程至关重要。数据结构和算法是软件工程的基本构建块，它们决定了系统的运行方式。数据结构和算法是软件工程中常见的两个概念，对掌握任何编程语言或软件技术至关重要。为了掌握任何编程语言，无论是函数式还是面向对象的，都必须了解其中的基本概念，包括算法。在软件工程中，数据通常以数据结构（如映射、列表、树等）表示，并且需要不断地进行排序、合并、转换和匹配。因此，软件工程师制定了算法作为解决这一任务的方案，确保其一致性、可重复性，并通过一组指标来量化性能。然而，为了让数据结构与系统无缝结合，需理解创建干净、高效且强大的算法的基本知识，从而减少工程师的工作量。我们的综合课程旨在帮助您从零开始理解算法和数据结构。 本课程涵盖与数据结构和算法相关的重要概念，包括五个主要算法类别：密码学、编译理论、信号处理、数据分析和图数据库。课程还将深入理解其他基本概念，如递归及其与并发的关系，树和图等抽象数据类型（ADT）；树与平衡操作之间的关系、素数运算、费马定理、利用栈和队列解析语法，以及基于抽象语法树的解析器，这些都是编译理论的基础。除了理论概念，课程还包含大量实际应用示例，帮助您不仅理解概念，还能掌握使用技巧。本课程将助您在技术面试中脱颖而出，成为一个出色的软件工程师。 如果您打算申请技术岗位，这门课程将成为您的绝佳复习资料。通过这门课程，您将不仅理解算法，同时能够编写更好的算法，简化编程过程。面对如此丰富的学习资源，您还在等什么？让我们开始吧！
In order to build something, you must start from the ground up. It is always important to understand the basics and the core of a concept and this ideology also holds true for software programming. Data structures and algorithms are the basic building blocks for Software Engineering, that determine how the system will operate. Data structures and algorithms are two common concepts that can be found in Software Engineering and are imperative to mastering any programming language or technology within the software technology landscape. In order to master any programming language, functional or objective, one must first understand the basic concept behind it, which includes algorithms. Data in software engineering are represented in data structures such as maps, lists, trees, etc. and is in the constant need of being sorted and merged, transformed and matched in some way. For this reason, software engineers devised algorithms as a solution for this task, which is consistent, repeatable and testable with a set of metrics to quantify performance. However, for data structures to work seamlessly with your system, you need to understand the basics to creating clean, efficient and powerful algorithms that reduces the amount of work required by the engineer. This is where this course can help. Our comprehensive course has been designed to help you understand algorithms and data structures from scratch. This course covers important concepts related to data structures and algorithms including the five major categories of algorithms: Cryptography, Compiler Theory, Signal Processing, Data Analysis, and Graph Databases. This is a course for the Big Boys. It also includes understanding other primary concepts such as recursion and its relationship to concurrency and ADT's like Trees and Graphs; relationship between trees and rotation operations used in balancing, operations with Primes, Fermat's theorem, parsing grammars with Stacks and Queues and related tools like AST based parsers the beginning step on the road to Compiler theory. In addition to covering the theoretical concepts, the course also is packed with examples of practical applications. It is important to not only understand what the concept it, but also how to use it. You will definitely get the best of both worlds in this algorithm and data structure tutorial. This course will also help you ace the theoretical intensive tech interviews. So if you plan to apply for a tech job, this course will act as a great refresher. With this course, you will not only be able to understand algorithms, but actually write better algorithms to help simplify your programming life. With this much power waiting for you, what are you waiting for? Let's get started.
