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COURSE INFORMATION

COURSE TITLE Business Analytics
CREDIT RANGE 3.000
SCHOOL Lubin School of Business
DEPARTMENT Management 
LEVEL Undergraduate
COREQUISITE none
PREREQUISITE MAT 104 Minimum Grade of D and ( MAT 117 Minimum Grade of D or MAT 134 Minimum Grade of D or MAT 234 Minimum Grade of D) and ( CIS 101 Minimum Grade of D or TS 105 Minimum Grade of D)
DESCRIPTION:

Course Description: This course acquaints the student with the business analytics: use of data and quantitative models to aid in business decision making. The course covers all three major areas of analytics: descriptive, predictive and prescriptive. In addition, students will learn tools for effective project management. The topics include descriptive statistics, pivot table, data visualization, regression, forecasting, linear optimization, Monte Carlo simulation, and project scheduling. Emphasis is on (1) data analysis and modeling of business problems, (2), implementation of the models on Microsoft Excel, and (3) interpretation and effective communication of the results.

Course Rotation: Fall, Spring, and Summer.



SECTION INFORMATION

CRN: 10150
SUBJECT: MGT
COURSE NUMBER: 226
SECTION TITLE: Business Analytics
CAMPUS: Online
SCHEDULE TYPE: Lecture
REQUIRED MATERIAL:
SECTION COMMENTS: This is an online section that requires student’s participation and attendance online via Blackboard.
COREQUISITE None
ATTRIBUTES: Business Core
FEES: 0
CAPACITY 20
SEATS AVAILABLE 9
INSTRUCTOR: Igor Rudychev
RESTRICTION(S):
Must be enrolled in one of the following Classifications: Junior Athlete & Honors , Junior Athlete , Junior Honors , Junior , Junior Priority Reg , Senior Honors Athlete , Senior Athlete , Senior Honors , Senior , Senior Priority Reg , Upper Sophomore Honors Athlete , Upper Sophomore , Upper Sophomore Athlete , Upper Sophomore Honors , Sophomore Honors Athlete , Upper Sophomore Priority Reg , Sophomore Athlete , Sophomore Honors , Sophomore , Sophomore Priority Reg

Online

Online Type Date
BlackBoard 01/02/2019 - 01/31/2019