Preview Workflow

The CIM Courses system will be down temporarily undergoing routine maintenance.

Viewing: DNSC 8393 : Applied Stochastic Models for Business

Last approved: Tue, 18 Jul 2017 08:05:05 GMT

Last edit: Mon, 10 Jul 2017 19:11:48 GMT

Catalog Pages referencing this course
School of Business
Decision Sciences (DNSC)
DNSC
8393
Applied Stochastic Models for Business
Applied Stochastic Models
Fall 2017
3
Course Type
Lecture
Default Grading Method
Letter Grade

No
No

Corequisites

10
Soyer
Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


In-depth coverage of stochastic models and their applications in business and industry; applications to marketing, call center modeling, finance, queuing systems, and operations.
Course Learning Objectives:

Students will:

(1) Understanding of distribution theory for univariate and multivariate distributions.

(2) Develop skills in calculus of probability.

(3) Understand stochastic processes and main concepts such as stationarity, independent increments, conditional independence, etc.

(4) Develop an understanding of discrete and continuous time stochastic processes.

(5) Understand continuous time continuous state space processes.

(6) Apply stochastic processes.

Course Attribute


Key: 10940