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RISK ANALYTICS

ACTSCI 657
课程描述

Develop a toolbox for modeling, communicating, and managing risk and uncertainty in business applications. Emphasis on the notation of probabilistic forecasting and introduces a predictive modeling framework that integrate modern machine learning methods with distribution-based regression models. Topics include heavy-tailed regression, count data regression, survival data analysis, feature engineering using neural networks and natural language processing, among others.

先修课程

(ACTSCI 640 , GENBUS 656 , STAT 333 , or STAT 340 ), or declared in undergraduate Business Exchange program

满足要求

This course does not satisfy any prerequisites.

学分

未报告

开课时间

未报告

平均绩点
3.6

1.62% 相比历史数据

完成率
100%

与历史数据相比无变化

A率
47.06%

20.78% 相比历史数据

班级规模
34

32.47% 相比历史数据

Cumulative Grade Distribution

教师 (2026 Summr)

按评分排序，数据来自 Rate My Professors

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