Mar 28, 2024  
2016-2017 University Catalog 
    
2016-2017 University Catalog [ARCHIVED CATALOG]

Information Systems and Decision Sciences, Department of


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Department Chair

Bhushan Kapoor

Department Office/Website

Steven G. Mihaylo Hall 4113
657-278-2221
business.fullerton.edu/isds

Faculty

Vahideh Abedi, Nimer Alrushiedat, Rahul Bhaskar, Daniel Cavagnaro, Tammy Drezner, Zvi Drezner, Zvi Goldstein, Ester Gonzalez, Prem Gupta, Yuhong He, Pawel Kalczynski, Bhushan Kapoor, Malini Krishnamurthi, Mabel Kung, Peng Liu, Laura Marcoulides, Do Le Minh, Sinjini Mitra, Sorel Reisman, Panayiotis Skordi, Daniel Soper, Amr Soror, Laurent Tambayong, Ofir Turel, Samuel Yang, Dawit Zerom, Yi “Jenny” Zhang

Introduction

The Information Systems and Decision Sciences Department offers courses in Information Systems, Decision Sciences and Business Analytics. Information systems are computer-based systems that aid management in making decisions and assist in implementing and controlling management policies. They are used in business, industry and government operations. Applications include airline reservations, banking transactions, crime prevention networks, election returns, real estate assessment, tax records, newspaper databases, sports statistics and computer assisted learning.

Decision sciences is the application of the scientific method to decision-making in business and government using the techniques of operations research and statistics. Nearly all decision sciences problems involve solutions using computers. Operations research uses mathematical and simulation models to provide decision-makers with quantitative information pertaining to complex business situations. Statistics assists decision-makers by using techniques designed to draw inferences from experimental and sampling data.

Business analytics is a broad field consisting of a variety of business processes for data management and a wide range of analytical tools for performing data analysis to make better strategic and tactical business decisions. Business processes for data management include methods for planning, collecting, storing and structuring data into databases and data warehouses. Analytical tasks include querying, reporting, visualizing, generating online active reports and running advanced analytical techniques for classification, segmentation and prediction (e.g., data mining).

Learning Goals and Student Learning Outcomes

Programs and Courses Offered

Bachelor of Arts in Business Administration

Master of Business Adminstration

Non-Degree

Programs

    Master of Science

    Courses

      Information Systems and Decision Sciences

      Courses are designated as ISDS in the class schedule.

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