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Viewing: DNSC 3401 : Introduction to Business Analytics

Last approved: Fri, 30 Sep 2016 08:05:30 GMT

Last edit: Mon, 19 Sep 2016 17:11:01 GMT

Catalog Pages referencing this course
School of Business
Decision Sciences (DNSC)
DNSC
3401
Introduction to Business Analytics
Intro to Business Analytics
Spring 2017
0,3
Course Type
Discussion Group
Lecture
Default Grading Method
Letter Grade

No
No
APSC 3115 or STAT 1051 or STAT 1053 or STAT 1111
Corequisites

25
Tarimcilar, Prasad
Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


Fundamentals of business analytics: what information it provides, how and when that information is used, and how it affects decision making. Working with uncertainty; understanding the dynamic nature of decision making; using data, regardless of its size; and making decisions with incomplete data. The simulation of real-life scenarios to support optimal decision making.
At the end of this course, students will be able to:
- Improve analytical thinking by using data and decision modeling
- Identify relevant data for the analysis
- Build abstract models replicating the real life situation as closely as possible
-Formulate appropriate hypothesis given the context
- Identify and carry out appropriate statistical tests and model building
- Interpret the results of statistical tests and decision models, use them in making managerial decisions, and learn to articulate the results
Uploaded a Course Syllabus

Course Attribute

The only change requested is to add prerequisites. Please note that students must complete one of the electives, not all four. If we cannot make this effective Fall 2016, then please make it effective Fall 2017.
gharris (Tue, 16 Aug 2016 14:31:30 GMT): Rollback: departmental request for editing
Key: 9850