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Business Analytics at LSSU
Presented by
C. Christopher Lee
Associate Professor of Management
Business Analytics
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Quantitative Management
Research Methodology
Scientific, Objective, Quantitative Analysis
3 Major Areas of Business Analytics:
– Business Statistics
– Management Science
– Management Information Systems
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Job Opportunities:
– 800 job openings at Wal-Mart
Biz. Analytics Curriculum at LSSU
Prerequisites - College Algebra
Biz. Analytics 1
- BUSN 122, Biz. Applications with Contemporary Technologies
Biz. Analytics 2 - BUSN 211, Business Statistics
Biz. Analytics 3 - MGMT 280, Management Information Systems
Biz. Analytics 4 - MGMT 371, Operations & Business Analytics
(formerly MGMT 375, Supply Chain Management)
Biz. Analytics 5 - MGMT 471, Advanced Business Analytics
(formerly MGMT 375, Supply Chain Management)
Business Analytics 2 BUSN 211, Business Statistics
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Descriptive Statistics
Data Mining
Sampling Theory
Statistical Inference
Central Limit Theorem
Hypothesis Testing
T-Test Model
ANOVA Model – One Way ANOVA
Regression Model - Simple Regression
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Business Analytics 3:
MGMT 280, Management Information Systems
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Systems Theories
Database Design, Administration
Decision Support Systems
Data Warehousing
Data Mining
Systems Development Life Cycles (SDLC)
System Implementation – Project Management of
Information Systems Development
Big Data – Concept, Analysis, Models
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Business Analytics 4:
MGMT 371, Operations & Biz. Analytics
P/OM
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Production/Operations
Management Concepts
Operations Strategy
Supply Chain Management
Just-in-Time (JIT) Theory
MRP, ERP
Intermediate Biz. Statistics
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ANOVA Model
Correlation Analysis
Multiple Regression Model
Time-Series Analysis 1 Forecasting Model
MS/OR
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Management Science/ Operations
Research:
Linear Programming Model
Transportation Model
Inventory Control Model
Decision Tree Model
Project Management – PERT/CPM
Model
TQM – Statistical Process Control
Model
Queuing Model
Risk Management - System
Reliability Model
Business Analytics 5 –
MGMT 471, Advanced Business Analytics
Advanced Biz. Statistics
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Structural Equation Modeling
(SEM)
Factor Analysis
Discriminant Model
Non-parametric Model
Time-Series Analysis 2 –
Advanced Forecasting Model
Advanced MS/OR
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LP Model 2
Data Envelopment Analysis
(DEA) Model
Simulation Model
Goal Programming (GP) Model
Analytic Hierarchy Process
(AHP) Model
Non-LP Model
Thank You!
Any Questions?
For More Information, contact:
– Professor C. Christopher Lee, Ph.D:
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www.cchristopherlee.com
[email protected] or [email protected]
Office - Library 319
Phone: (906) 635 - 6682