課程信息
4.6
1,142 個評分
156 個審閱
專項課程

第 3 門課程(共 5 門),位於

100% online

100% online

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為9 小時

建議:4 weeks of study, 1-3 hours/week...
可選語言

英語(English)

字幕:英語(English), 巴西葡萄牙語...

您將獲得的技能

ModelingRiskMicrosoft ExcelSimulation
專項課程

第 3 門課程(共 5 門),位於

100% online

100% online

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為9 小時

建議:4 weeks of study, 1-3 hours/week...
可選語言

英語(English)

字幕:英語(English), 巴西葡萄牙語...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 2 小時

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, convert the algebraic model to a spreadsheet model, work with Solver to discover the best possible decision, and examine an example that introduces a simple representation of risk to the model. By the end of this module, you'll be able to build an optimization model, use Solver to uncover the optimal decision based on your data, and begin to adjust your model to account for simple elements of risk. These skills will give you the power to deal with large models as long as the actual uncertainty in the input values is not too high....
Reading
4 個視頻(共 60 分鐘), 2 個閱讀材料, 1 個測驗
Video4 個視頻
1.1 How To Build an Optimization Model: Hudson Readers Ad Campaign13分鐘
1.2 Optimizing with Solver, and Alternative Data Inputs26分鐘
1.3 Adding Risk: Managing Investments at Epsilon Delta Capital18分鐘
Reading2 個閱讀材料
PDFs of Slides for Week 110分鐘
Excel Files for Week 110分鐘
Quiz1 個練習
Week 1: Modeling in Low Uncertainty Quiz20分鐘
2
完成時間(小時)
完成時間為 2 小時

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, common scenarios for multiple random variables, how to incorporate risk reduction, how to calculate and interpret correlation values, and how to use scenarios for optimization, including sensitivity analysis and the efficient frontier. By the end of this module, you'll be able to identify and use common models of future uncertainty to build scenarios that help you optimize your business decisions when you have multiple variables and a higher degree of risk. ...
Reading
3 個視頻(共 51 分鐘), 2 個閱讀材料, 1 個測驗
Video3 個視頻
2.2 Common Scenarios for Multiple Random Variables, Risk Reduction, and Calculating and Interpreting Correlation Values18分鐘
2.3 Using Scenarios for Optimizing Under High Uncertainty, Sensitivity Analysis and Efficient Frontier15分鐘
Reading2 個閱讀材料
PDFs of Lecture Slides for Week 210分鐘
Excel Files for Week 210分鐘
Quiz1 個練習
Week 2: Modeling in High Uncertainty Quiz20分鐘
3
完成時間(小時)
完成時間為 2 小時

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 visualizations in Excel, how to choose the the right distribution for your data, explore the differences between discrete distributions and continuous distributions, and test your choice of model and your hypothesis for goodness of fit. By the end of this module, you'll be able to represent your data using graphs, choose the best distribution model for your data, and test your model and your hypothesis to see if they are the best fit for your data....
Reading
4 個視頻(共 81 分鐘), 2 個閱讀材料, 1 個測驗
Video4 個視頻
3.2, pt 1: Choosing Among Distributions: Discrete Distributions25分鐘
3.2, pt 2: Choosing Among Distributions: Continuous Distributions11分鐘
3.3 Hypothesis Testing and Goodness of Fit22分鐘
Reading2 個閱讀材料
PDFs of Lecture Slides for Week 310分鐘
Excel Files for Week 310分鐘
Quiz1 個練習
Week 3: Choosing Fitting Distributions Quiz20分鐘
4
完成時間(小時)
完成時間為 2 小時

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 uncertainty settings where random inputs are described by continuous probability distributions. You'll also learn how to run a simulation model, analyze simulation output, and compare alternative decisions to decide on the most optimal solution. By the end of this module, you'll be able to make decisions and manage risk using simulation, and more broadly, to make successful business decisions in an increasing complex and rapidly evolving business world....
Reading
4 個視頻(共 53 分鐘), 2 個閱讀材料, 1 個測驗
Video4 個視頻
4.2 Connecting Random Inputs and Random Outputs in a Simulation23分鐘
4.3 Analyzing and Interpreting Simulation Output: Evaluating Alternatives Using Simulation Results10分鐘
Course Conclusion分鐘
Reading2 個閱讀材料
PDFs of Lecture Slides10分鐘
Excel files for Week 410分鐘
Quiz1 個練習
Week 4: Using Simulations Quiz20分鐘
4.6
職業方向

20%

完成這些課程後已開始新的職業生涯
工作福利

83%

通過此課程獲得實實在在的工作福利

熱門審閱

創建者 JNApr 13th 2018

covers good amount of material and exactly what is in the outline, presented with enough detail to follow. Good walk-through of the spreadsheets helps understanding, easy to follow along and practice.

創建者 LCDec 19th 2016

Material was very well presented. Week 3 was challenging, but taking time to print out the slides, work through them rigorously proved very helpful. I found all sections very, very informative.

講師

Avatar

Sergei Savin

Associate Professor of Operations, Information and Decisions
The Wharton School
Avatar

Senthil Veeraraghavan

Associate Professor of Operations, Information and Decisions
The Wharton School

關於 University of Pennsylvania

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies. ...

關於 Business and Financial Modeling 專項課程

Wharton's Business and Financial Modeling Specialization is designed to help you make informed business and financial decisions. These foundational courses will introduce you to spreadsheet models, modeling techniques, and common applications for investment analysis, company valuation, forecasting, and more. When you complete the Specialization, you'll be ready to use your own data to describe realities, build scenarios, and predict performance....
Business and Financial Modeling

常見問題

  • 注册以便获得证书后,您将有权访问所有视频、测验和编程作业(如果适用)。只有在您的班次开课之后,才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程,可能无法访问某些作业。

  • 您注册课程后,将有权访问专项课程中的所有课程,并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

還有其他問題嗎?請訪問 學生幫助中心