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Modeling Risk and Realities
课程
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4 时
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课程详情
教学大纲
- Week 1 - Week 1: Modeling Decisions in Low Uncertainty Settings
This module is designed to teach you how to analyze settings with low levels of uncertainty, and how to identify the best decisions in these settings. You'll explore the optimization toolkit, learn how to build an algebraic model using an advertising example, ... - Week 2 - Week 2: Risk and Reward: Modeling High Uncertainty Settings
What if uncertainty is the key feature of the setting you are trying to model? In this module, you'll learn how to create models for situations with a large number of variables. You'll examine high uncertainty settings, probability distributions, and risk, com... - Week 3 - Week 3: Choosing Distributions that Fit Your Data
When making business decisions, we often look to the past to make predictions for the future. In this module, you'll examine commonly used distributions of random variables to model the future and make predictions. You'll learn how to create meaningful data vi... - Week 4 - Week 4: Balancing Risk and Reward Using Simulation
This module is designed to help you use simulations to enabling compare different alternatives when continuous distributions are used to describe uncertainty. Through an in-depth examination of the simulation toolkit, you'll learn how to make decisions in high...
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讲师
Sergei Savin
Associate Professor of Operations, Information and Decisions
The Wharton School
Senthil Veeraraghavan
Associate Professor of Operations, Information and Decisions
The Wharton School
编辑
宾夕法尼亚大学（俗称宾大）成立于 1740 年，是一所位于美国宾夕法尼亚州费城的私立大学。作为常春藤联盟的成员，宾大是美国第四古老的高等学府，也是美国第一所同时提供本科和研究生学位的大学。
平台
Coursera是一家数字公司，提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作，在线提供一些课程，并提供许多科目的课程，包括：物理，工程，人文，医学，生物学，社会科学，数学，商业，计算机科学，数字营销，数据科学 和其他科目。
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