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所在平台: Udemy |
课程主页: https://www.udemy.com/course/probability-for-master-level-students-mba-mcom-mbe/
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课程名称：硕士级学生概率学习（MBA、MCom、MBE） 课程概述：定量技术是定量引入的技术，对判断和直觉的有力补充。定量技术为决策者提供了一种系统、强大的分析手段，帮助基于定量数据探索实现既定目标的政策。这些技术利用科学管理方法进行决策。在学习过程中，学生将掌握有助于决策过程的统计技术。这些技术还将帮助学生为应对未来需求的不确定性以及解决可以利用定量技术生成最小风险计划的问题，提供科学依据。 核心内容包括： 1. 概率的基本概念：随机实验、结果、样本空间 2. 事件的基本概念：同等可能事件、互斥事件、穷尽事件、独立与依赖事件 3. 事件的基本操作：两个事件的并集合、交集以及事件的补集 4. 概率的不同定义：经典、相对频率和公理方法 5. 相关定理：加法定理及相关问题 6. 边际、条件和联合概率：乘法定理 7. 贝叶斯定理及其在商业场景中的应用 参考书目： 1. 《管理中的定量技术》：N D Vora，Tata McGraw Hill 2. 《管理统计学》：Richard S Levin 和 David S Rubin，Prentice Hall of India, New Delhi 3. 《完全商业统计》：Aczel，Tata McGraw Hill 4. 《定量技术》：P C Tulsian 和 Vishal Pandey，Pearson Education 本课程旨在帮助学生掌握概率理论及其在商业决策中的实际应用，培养用定量分析工具应对未来不确定性的能力。
Quantitative Techniques involve the introduction of quantities and are essentially a helpful supplement to judgement and intuition. Quantitative Techniques provide the decision maker with a systematic and powerful means of analysis and help based on quantitative data, in exploring policies for achieving predetermined goals. Quantitative Techniques make use of scientific methods of management in decision making. During the course of the study, the student will learn those statistical techniques which help them in the decision making process. These techniques also help to develop a scientific basis for coping with the uncertainties of future demand and for dealing with such problems where quantitative techniques can be used to generate a least risk planDescribe the core concepts of probability, explain the addition and multiplication theorems of probability and Bayes' Theorem and apply it in various business scenariosBasic Concepts: Random Experiment, Outcomes, Sample SpaceBasic Concepts: Events - Equally Likely, Mutually Exclusive, Exhaustive, Mutually Exclusive and Exhaustive, Independent and Dependent EventsBasic Concepts: Events - Union of two Events, Intersection of two events and Compliment of an EventApproaches / Definitions to / of Probability: Classical, Relative Frequency and Axiomatic approaches.Theorems: Addition Theorem and Related ProblemsMarginal, Conditional and Joint Probabilities: Multiplication TheoremBayes' Theorem: Business Applications of ProbabilityReferences:1) Quantitative Techniques in Management: N D Vora, Tata McGraw Hill.2) Statistics for Management: Richard S Levin and David S Rubin, Prentice Hall of India, New Delhi3) Complete Business Statistics: Aczel, Tata McGraw Hill.4) Quantitative Techniques: P C Tulsian and Vishal Pandey, Pearson Education
