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学生对 宾夕法尼亚大学 提供的 Modeling Risk and Realities 的评价和反馈

4.6
1,505 个评分
202 个审阅

课程概述

Useful quantitative models help you to make informed decisions both in situations in which the factors affecting your decision are clear, as well as in situations in which some important factors are not clear at all. In this course, you can learn how to create quantitative models to reflect complex realities, and how to include in your model elements of risk and uncertainty. You’ll also learn the methods for creating predictive models for identifying optimal choices; and how those choices change in response to changes in the model’s assumptions. You’ll also learn the basics of the measurement and management of risk. By the end of this course, you’ll be able to build your own models with your own data, so that you can begin making data-informed decisions. You’ll also be prepared for the next course in the Specialization....

热门审阅

JN

Apr 13, 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.

LC

Dec 19, 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.

筛选依据:

176 - Modeling Risk and Realities 的 195 个评论(共 195 个)

创建者 Jordan L

May 24, 2018

Very difficult to understand the professors, and I would have wished for more demonstration on excel, rather than explanation through slides.

创建者 Ao Z

Nov 19, 2017

希望课程内容可以再深入一些

创建者 Deleted A

Feb 12, 2017

Basic Course.

创建者 Zeming Y

Jan 13, 2018

okie not that great

创建者 Brendan C

Jun 04, 2018

quiz should be unlocked. Some concepts could be explained better.

创建者 Irina K

Aug 06, 2018

Only the first lecturer was good. Where are clear excel examples for Week 3, 3.2? You know that students have been complaining over 7-8 months and did nothing! It's a total waste of money.

SERGEY SAVIN is the BEST!!

创建者 André I

Oct 06, 2018

the quizzes are not really helpful/relevant.

创建者 Zijian D

Dec 02, 2018

The second lecturer only read all the text in lecture slide.

创建者 Daniel B

Aug 07, 2019

This course had a mix of high and lows, professor Savins pieces felt more connected to real life examples to help illustrate the concepts whereas Professor Veeraraghavan felt more like a math class and very disconnected from real world examples.

创建者 Evan H

May 21, 2019

Some concepts were hard to follow.

创建者 Natalia B

Mar 16, 2019

Although great content, I found that the week three has been more theoretical with not enough detail. I still manage some key concepts, but I would have love to understand more how to use in practice the theory.

创建者 Charles C W

Mar 24, 2019

Too basic for the subject matter. Didn't learn anything I didn't already know.

创建者 Xin C

Feb 22, 2017

Not very helpful for stat major students

创建者 Davide B

Aug 07, 2016

Basically i resume of economics concepts that can be taken for granted as a prerequisite of the course

创建者 Andrey T

Jul 03, 2017

Could be more content, and quizzes are really stupid - it's just plugging in numbers!!!

创建者 Bertrand R M

Aug 15, 2017

very poor qual

创建者 STEVE S

Apr 11, 2018

I do not recommend this course or the specialization. I will cite below sentences from the course and you can be the judge yourself.

*** start of cited sentences ***

if we plug in the expected values … we get fifty thousand times ninety, plus nine hundred thousand times ten, plus one hundred thousand times six, plus one hundred fifty thousand times two …….

*** end of cited sentences ***

The professor was actually reading this calculation:

500,000*90 + 900,000*10 + 100,000*6 + 150,000*2

I sat through 3 courses to realize that I should have dropped it in course 1 week 1.

创建者 Pramit S

Jun 01, 2016

The distributions were not well explained, it could have been handled in a much better way!

创建者 Tommy O Z X

Apr 23, 2017

very watered down

创建者 Siddhi S

Apr 18, 2018

The expllanation for Week 3 is very poor. The professor fails to go into details and leaves much to assumption. A better understanding of reading the statistical tables and more detailed explanation of the pdf and CDF functions are required.