HINF 640 - Business Analytics

Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0

Data analytics focuses on improving existing operations and supports the enterprise resource planning by streamlining or optimizing business processes. Business analytics help decision makers perform quicker analysis and use the valuable information to make better decisions. This course introduces several commonly used modeling tools to develop and improve students’ analytical skills through a variety of realistic situations. The skills learned in this course will help students to recognize a decision situation, understand the business problem, and deal with uncertainty and complex interactions to solve the problem. In order to equip students with these skills, this course is divided into four parts: (I) Descriptive and Predictive Analysis, (II) Prescriptive Analytics with low uncertainty, (III) Prescriptive Analytics with high uncertainty and (IV) Complex Predictive Analytics. Part I will cover forecasting and time series analysis, Part II will cover modeling, optimization, and solvers. Part III will cover decision trees for structuring decision problems under uncertainty, waiting line models, simulation and Part IV will cover multi-criteria decision making, heuristics, and simulation-optimization. Throughout the course, we will use SAS software as a modeling and analysis environment.

This course is crosslisted with and equivalent to BIDA 650 .

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Prerequisite: BIDA 630 or equivalent

Academic Catalog

HINF 640 - Business Analytics