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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/introductiontoprobability
课程评论：没有评论
课程名称：直观概率入门 概述：本课程将为您提供一个基本、直观且实用的概率理论入门，让您能够学会如何在不同场景下应用概率理论，从而掌握应对日常生活中不确定性的“工具箱”。课程分为五个模块，每个模块首先会对主题进行简单介绍，作为进一步发展您知识的基础，并帮助您获取应对不确定性的“工具”。此外，您将有机会完成五个练习环节，反思每个模块所学内容并立即开始应用所学知识。 课程涵盖的主题包括：“概率”、“条件概率”、“应用”、“离散随机变量”和“正态分布”。 模块教学生动有趣，强调娱乐性和实用性的学习体验！期待您在线上与我们相见！ 课程大纲： 1. 概率：我们将学习概率并利用概率公式进行第一次计算，掌握概率描述不确定事件发生的可能性。 2. 条件概率：新信息的到来可能导致我们改变对不确定事件的概率评估。本模块将学习“条件”概率的概念，帮助我们正确进行这些调整。 3. 应用：我们将讨论概率的一些迷人日常应用，除了一些有趣的例子外，还会审视金融和法律等严肃领域的应用。 4. 离散随机变量：在该模块中，我们将超越概率，学习一些重要的总结性度量，如期望值、方差和标准差，并了解最受欢迎的离散概率分布——二项分布。 5. 正态分布：我们将熟悉正态分布，讨论著名的钟形曲线真正代表的意义，并学习如何轻松计算正态概率。 欢迎您的参与！
Name:Probability
Description:In this module we will learn about probabilities and perform our first calculations using probability formulas. We want to get comfortable with the idea that probabilities describe the chance of uncertain events occurring.
Name:Conditional Probability
Description:The arrival of new information may lead us to alter our probabilistic assessments of uncertain events. In this module, we will learn how the concept of "conditional" probabilities allows us to make these changes correctly. Script of the course can be found here: https://www.coursera.org/learn/introductiontoprobability/resources/qxi9W
Name:Application
Description:We will discuss some fascinating every-day applications of probability. In addition to entertaining examples, we will also review very serious applications from finance and law.
Name:Discrete Random Variables
Description:In this module we move beyond probabilities and learn about important summary measures such as expected values, variances, and standard deviations. We also learn about the most popular discrete probability distribution, the binomial distribution.
Name:Normal Distribution
Description:We want to get comfortable with the normal distribution. We will discuss what the famous bell curve really represents. And we will learn how easy it is to calculate normal probabilities.
This course will provide you with a basic, intuitive and practical introduction into Probability Theory. You will be able to learn how to apply Probability Theory in different scenarios and you will earn a "toolbox" of methods to deal with uncertainty in your daily life. The course is split in 5 modules. In each module you will first have an easy introduction into the topic, which will serve as a basis to further develop your knowledge about the topic and acquire the "tools" to deal with uncertainty. Additionally, you will have the opportunity to complete 5 exercise sessions to reflect about the content learned in each module and start applying your earned knowledge right away. The topics covered are: "Probability", "Conditional Probability", "Applications", "Random Variables", and "Normal Distribution". You will see how the modules are taught in a lively way, focusing on having an entertaining and useful learning experience! We are looking forward to see you online!
