Online Courses and Tutorials

Onlinecourses.tech provides you with the latest online courses information by assisting over 45,000 courses and 1 million students.

Learn programming, marketing, data science and more.

Get started today

Skip to main content

Featured Post

Machine Learning

Master machine learning fundamentals in four hands-on courses

About This Specialization This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data. Created by: Industry Partners: 4 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or

操作系统原理(Operating Systems)

操作系统原理(Operating Systems)

About this course: 《操作系统原理》是针对计算机科学技术专业三年级本科生开设的一门专业基础课程。本课程着重学生系统观的培养,通过重点讲述操作系统的内部结构、工作原理及典型技术的实现,使学生建立起对操作系统的整体及各个功能模块的认识,从而系统掌握计算机的专业知识,进一步提升学生的软件开发能力乃至系统软件开发能力。 任何计算机都必须在加载相应的操作系统之后,才能构成一个可以运转的、完整的计算机系统。操作系统的功能是否强大,决定了计算机系统的综合能力;操作系统的性能高低,决定了整个计算机系统的性能;操作系统本身的安全可靠程度,决定了整个计算机系统的安全性和可靠性。操作系统是软件技术的核心和基础运行平台。因此,计算机科学技术专业的学生需要学习和掌握操作系统的基本原理和专业知识。 本课程的教学目标是: 1.掌握操作系统的基本概念、功能组成、系统结构及运行环境; 2.熟悉并运用操作系统工作原理、设计方法和实现技术,理解有代表性、典型的操作系统实例(如UNIX、Linux和Windows); 3.了解操作系统的演化过程、发展研究动向、新技术以及新思想,为后续相关课程的学习打下良好基础,为后续职业发展奠定基石。

Who is this class for: 学习本课程之前,需要具备高级语言程序设计、数据结构、计算机组成原理的基础知识。

Created by:  Peking University

LevelIntermediate
Commitment2-4 hours/week
Language
Chinese (Simplified)
How To PassPass all graded assignments to complete the course.
User Ratings
Average User Rating 4.6See what learners said
Syllabus
WEEK 1
操作系统概述
主要内容:举例介绍操作系统所做的工作;操作系统的定义与特征;操作系统分类;操作系统发展中的典型技术;典型操作系统的结构。 
6 videos
  1. Video: 操作系统做了什么?
  2. Video: 操作系统的定义和作用
  3. Video: 操作系统的主要特征
  4. Video: 典型操作系统的架构
  5. Video: 操作系统的分类1
  6. Video: 操作系统的分类2
Graded: 第一周测验
WEEK 2
操作系统运行环境
主要内容:特权指令/非特权指令、CPU状态;中断系统的作用;中断硬件工作原理;中断处理程序流程;中断处理程序举例;中断系统举例;系统调用基本概念;系统调用实现机制;系统调用实现实例。 
6 videos
  1. Video: 处理器状态
  2. Video: 中断与异常机制介绍
  3. Video: 中断与 异常机制 工作原理
  4. Video: 实例:X86的中断与异常机制
  5. Video: 系统调用机制
  6. Video: 实例:基于X86的Linux系统调用机制简介
Graded: 第二周测验
WEEK 3
进程线程模型
主要内容:进程基本概念;进程状态及状态转换;进程控制块的作用和内容;进程控制操作;进程地址空间与进程映像;为什么引入线程?线程的应用场景;Web服务器的实现;线程概念、线程与进程的区别;线程实现的三种方式;Pthreads线程库及应用;几个重要的概念:原语、可再入程序。 
6 videos
  1. Video: 进程的基本概念
  2. Video: 进程状态及状态转换
  3. Video: 进程控制
  4. Video: 关于进程相关概念的讨论
  5. Video: 线程的引入
  6. Video: 线程机制的实现
Graded: 第三周测验
WEEK 4
处理器调度
主要内容:调度层次与调度类型;调度时机与进程切换;调度算法设计原则;调度算法设计时考虑的各种因素;基本调度算法;多级队列反馈调度算法;调度算法应用;Linux调度算法的演化; Windows调度算法简介。 
6 videos
  1. Video: 处理器调度的相关概念
  2. Video: 设计调度算法要考虑的几个问题
  3. Video: 批处理系统的调度算法
  4. Video: 交互式系统的调度算法
  5. Video: 多级反馈队列调度算法、各种调度算法小结等
  6. Video: Windows 的线程调度算法
Graded: 第四周测验
WEEK 5
同步机制(1)
主要内容:进程/线程的并发执行;竞争条件的引入;进程互斥与进程同步的概念;进程互斥的软件解法;Peterson算法;进程互斥的硬件解法;睡眠与唤醒机制;信号量及PV操作;用信号量解决互斥问题举例;用信号量解决生产者消费者问题;用信号量解决读者写者问题。 
8 videos
  1. Video: 进程的并发执行
  2. Video: 进程互斥
  3. Video: 进程互斥的软件解决方案
  4. Video: 进程互斥的硬件解决方案
  5. Video: 进程同步
  6. Video: 信号量及PV操作
  7. Video: 生产者消费者问题
  8. Video: 读者写者问题
Graded: 第五周测验
WEEK 6
同步机制(2)
主要内容:信号量的问题及管程的引入;管程的基本概念;Hoare管程;管程应用举例;Mesa管程;JAVA管程解决生产者消费者问题。 
7 videos
  1. Video: 管程的基本概念
  2. Video: HOARE管程
  3. Video: 管程的应用
  4. Video: MESA管程
  5. Video: PTHREAD中的同步机制
  6. Video: 进程间通信IPC
  7. Video: 典型操作系统中的IPC机制
Graded: 第六周测验
WEEK 7
存储模型(1)
主要内容:基本概念介绍;物理内存管理方案之可变分区管理方案;物理内存管理方案之页式管理方案。 
6 videos
  1. Video: 基本概念-地址重定位
  2. Video: 物理内存管理
  3. Video: 伙伴系统
  4. Video: 基本内存管理方案1
  5. Video: 基本内存管理方案2
  6. Video: 交换技术
Graded: 第七周测验
WEEK 8
存储模型(2)
主要内容:虚拟存储管理基本思想;页表设计;地址转换过程;TLB引入;缺页异常处理;页面置换算法及应用;工作集模型;清除策略与页缓冲技术。 
8 videos
  1. Video: 虚拟存储技术
  2. Video: 页表及页表项的设计
  3. Video: 地址转换过程及TLB的引入
  4. Video: 页错误(Page Fault)
  5. Video: 软件相关策略
  6. Video: 页面置换算法1
  7. Video: 页面置换算法2-工作集算法
  8. Video: 其他相关技术
Graded: 第八周测验
WEEK 9
文件系统(1)
主要内容:文件系统的功能;文件分类;文件的逻辑结构和物理结构;文件控制块的内容和作用;文件目录与目录文件;文件系统的布局;文件的基本操作;文件系统的内存结构;磁盘空间管理;UNIX文件系统。 
7 videos
  1. Video: 文件与文件系统
  2. Video: 文件的存储介质
  3. Video: 磁盘空间管理
  4. Video: 文件控制块及文件目录
  5. Video: 文件的物理结构
  6. Video: 文件系统的实现
  7. Video: 文件系统实例——UNIX
Graded: 第九周作业
WEEK 10
文件系统(2)
主要内容:FAT16/32文件系统;文件共享与保护机制;文件系统一致性;文件系统性能。 
8 videos
  1. Video: 文件系统实例——FAT
  2. Video: 文件操作的实现
  3. Video: 文件系统的管理
  4. Video: 文件系统的安全性
  5. Video: 文件系统的性能1
  6. Video: 文件系统的性能2
  7. Video: 文件系统的性能3
  8. Video: 文件系统的两个练习
Graded: 第十周作业
WEEK 11
I/O系统
主要内容:设备管理的目标和任务;I/O设备分类;I/O设备组成;I/O端口地址;I/O控制方式;I/O软件层次;设备分配算法;设备驱动程序;缓冲技术;I/O性能问题。 
7 videos
  1. Video: I/O管理概述
  2. Video: I/O硬件组成
  3. Video: I/O控制方式
  4. Video: I/O软件的组成
  5. Video: I/O相关技术
  6. Video: I/O设备管理
  7. Video: I/O性能问题
Graded: 第十一周作业
WEEK 12
死锁
主要内容:死锁的基本概念;产生死锁的原因;死锁举例;用资源分配图讨论死锁问题;死锁预防方法;死锁避免方法;银行家算法;银行家算法的应用;死锁检测方法;死锁解除方法;哲学家就餐问题。 
7 videos
  1. Video: 死锁的基本概念
  2. Video: 资源分配图
  3. Video: 死锁预防
  4. Video: 死锁避免
  5. Video: 银行家算法
  6. Video: 死锁检测与解除
  7. Video: 哲学家就餐问题
Graded: 第十二周作业
WEEK 13
期末
 
Graded: 期末考试
How It Works
Coursework
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Creators
Peking University
Peking University is determined to make its education openly accessible to students in China and around the world. With over 3000 faculty members, Peking University offers excellence in teaching and learning. Founded in 1898, Peking University (PKU) was the first national comprehensive university in China. For the past 115 years, with its hundreds of thousands of outstanding alumni, Peking University has made prominent contributions in the humanities and sciences to further China's prosperity and progress.
Learn more about this course

Comments

Popular posts from this blog

Hands-on Text Mining and Analytics by Yonsei University

About this course: This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.



LevelIntermediateLanguage English, Subtitles: Chinese (Simplified) How To PassPass all graded assignments to complete the course.
Syllabus

Big Data Hadoop Certification Training

Big Data Hadoop training will make you an expert in HDFS, MapReduce, Hbase, Hive, Pig, Yarn, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain. You will get Hadoop certification at the end of the course

About the Training
This Hadoop training is designed to make you a certified Big Data practitioner by providing you rich hands-on training on Hadoop ecosystem and best practices about HDFS, MapReduce, HBase, Hive, Pig, Oozie, Sqoop. This course is stepping stone to your Big Data journey and you will get the opportunity to work on a Big data Analytics project after selecting a data-set of your choice. You will get Hadoop certification after the project completion.

Training Objectives
The hadoop training is designed to help you become a top Hadoop developer. During this course, our expert instructors will train you to: Master the concepts of HDFS and MapReduce frameworkUnderstand Hadoop 2.x ArchitectureSetup Hadoop Cluster and write Co…

Learn to Program and Analyze Data with Python

About This Specialization This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization. Created by: 5 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or LinkedIn. Courses

An Introduction to Interactive Programming in Python (Part 1)

About this course: This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse. In part 1 of this course, we will introduce the basic elements of programming (such as expressions, conditionals, and functions) and then use these elements to create simple interactive applications such as a digital stopwatch. Part 1 of this class will culminate in building a version of the classic arcade game "Pong".
Who is this class for: Recommended Background - A knowledge o…

Front-End JavaScript Frameworks: Angular

About this course: This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 4.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication and the use of REST API on the server side. You will use Restangular for communicating with a server sup…

Launch Your Career in Data Science

A nine-course introduction to data science, developed and taught by leading professors.
About This Specialization Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material. Created by: Industry Partners: 10 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn.

Программирование на Python

About this course: Python – простой, гибкий и невероятно популярный язык, который используется практически во всех областях современной разработки. С его помощью можно создавать веб-приложения, писать игры, заниматься анализом данных, автоматизировать задачи системного администрирования и многое другое. “Программирование на Python” читают разработчики, применяющие Python в проектах, которыми ежедневно пользуются миллионы людей. Курс покрывает все необходимые для ежедневной работы программиста темы, а также рассказывает про многие особенности языка, которые часто опускают при его изучении. В ходе курса вы изучите конструкции языка, типы и структуры данных, функции, научитесь применять объектно-ориентированное и функциональное программирование, узнаете про особенности реализации Python, научитесь писать асинхронный и многопоточный код. Помимо теории вас ждут практические задания, которые помогут проверить полученные знания и отточить навыки программирования на Python. После успешного о…

Master of Computer Science in Data Science

A flexible and affordable degree from one of the top Computer Science programs in the world, focused on one of the hottest fields of the new millennium

Enroll in the Master of Computer Science in Data Science (MCS-DS) and gain access to the computational and statistical knowledge needed to turn big data into meaningful insights. Build expertise in four core areas of computer science—data visualization, machine learning, data mining, and cloud computing—while learning key skills in statistics and information science. This completely online degree is an affordable gateway to one of the most lucrative and fastest growing careers of the new millennium. The MCS-DS is offered by CS @ ILLINOIS, a U.S. News & World Report top five CS graduate program, in collaboration with the University’s Statistics Department and top-ranked iSchool. Join our alumni network of entrepreneurs, educators, and technical visionaries, who have revolutionized the way people communicate, shop, conduct business,…

Machine Learning

Master machine learning fundamentals in four hands-on courses

About This Specialization This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data. Created by: Industry Partners: 4 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or

Introduction to Data Science in Python

About this course: This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. The course will also introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the DataFrame as the central data structure for data analysis. The course will end with a statistics primer, showing how various statistical measures can be applied to pandas DataFrames. By the end of the course, students will be able to take tabular data, clean it,  manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Ne…

Archive