• Information and Decision Sciences

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    Courses

    All courses are 3 credits unless otherwise noted.

    » Please see the Schedule of Classes for the current semester’s offerings.

     

    INFORMATION AND DECISION SCIENCES COURSES (IDS)

     

    IDS 1001 Business Algebra This course provides a review of computational and problem-solving skills. Included is a presentation of a broad scope of fundamental mathematical concepts in applied mathematics relevant to accounting, finance, management, and marketing, with examples drawn from different business disciplines.

    IDS 1020 Introduction to Information Systems- This course provides the background necessary to make decisions about computer-based information systems and to be an end-user. The course includes hands-on experience with personal computers and information systems management. Groups and individual computer assignments expose students to electronic spreadsheet analysis and database management on a personal computer. Management aspects focus on understanding computer technology, systems analysis and design, and control of information processing by managers.

    IDS 1131 Statistics for Business-This course includes modern statistical methods as a basis for decision making. Topics include fundamentals of probability, discrete and continuous distributions, descriptive statistics, and inferential statistics. Co-requisite: IDS 1001

    IDS 1456 Quantitative Methods for Management- Part 1. Applications of calculus for solving business problems. Topics include functions, limits, techniques of differentiation, marginal analysis, higher-order derivatives and optimization, integration, and applications of these techniques as they relate to business. Part 2: Linear Regression Analysis: Topics include the simple linear regression model, inference in regression analysis, sensitivity analysis, multiple regression analysis, and introduction to time series analysis. Prerequisite: IDS 1001 and IDS 1131.

    IDS 1601 Operations Management-Introduction to the study of operations: Operations management studies the systematic planning, design, execution, control and improvement of the various procurement, production, storage, and shipping processes involved from the time a product or service is designed until its delivery to the end customer. Students benefit from learning the role of operations as a functional area of the firm and understanding fundamental processes involved in both manufacturing and service organizations.  Topics include process analysis, capacity management, optimization via linear programming, project management, queuing models, inventory and supply chain management, and revenue management.  Prerequisites: IDS 1131 and IDS 1456. 

    IDS 2030 Business Analytics and Programming- Today, more than ever, businesses must learn to leverage their data as a strategic resource. This course introduces the tools and techniques used by data scientists, marketers and analysts to understand, manipulate and present the data that is the lifeblood of enterprises today. Students will learn modern techniques related to data manipulation, storage, retrieval and computer programming. Prerequisites: IDS 1020.

    IDS 2160 Decision Models-This course introduces the basic principles and techniques of applied mathematical modeling via spreadsheets for managerial decision making. Students learn to use some of the more important analytic methods focusing on spreadsheet modeling. Students learn to develop models that can be used to improve decision making within an organization; sharpen their ability to structure problems and to perform logical analyses; translate descriptions of decision problems into formal models and investigate those models in an organized fashion; identify settings in which models can be used effectively and apply modeling concepts in practical situations. The course emphasizes model formulation and interpretation of results and is aimed at undergraduate students with little prior exposure to modeling and quantitative analysis, but it is appropriate for all students who wish to strengthen their spreadsheet and quantitative skills. The emphasis is on models that are widely used in diverse industries and functional areas, including finance, operations, and marketing. Prerequisites: IDS 1020 and IDS 1131.

    IDS 2250 Design & Development of Web Based Systems-It is imperative for practically all types of businesses today to incorporate a digital strategy into their line of business.  To that end it is important for even non-technical decision makers to be familiar with the various issues that go into creating and maintaining a digital presence. The course covers a survey of different approaches and components that go into building and maintaining modern websites. The aim of this course is not to make students into software developers but rather to introduce students to the various topics and components that relate to web development so that they can be intelligent and informed about these topics when interacting with more technical members of the team. Students will learn and practice the skills needed to create their own rudimentary but functional websites. Prerequisites: IDS 1020

    IDS 2255 E-Commerce (Cross-listed with MAR 2255) -This course provides an understanding of e-commerce and its impact on firms, industries and markets. In a few short years, the Web has already had a large impact on how we shop, read, conduct business, learn, and consume information like music and art. The fundamental architecture of information processing within the firm is changing as new Internet technologies appear. Internet technologies are also having a broad impact on the management of firms. How well firms are able to master these new technologies and business models is having an important impact on their overall success. This course describes the technologies used in electronic commerce; discusses the resulting changes in organization structure, industry, and societal behavior and seeks to understand the forces that bring about these changes. Prerequisites: IDS 1020, MAR 1001 and MAN 1020

    IDS 2500 Financial Information Systems -This course discusses how modern financial markets function as a network of systems and information flows, and how to use information technology for decision making in trading and managing customer relationships. The first part of the course describes how systems facilitate various kinds of payments and settlement mechanisms, enable financial markets such as exchanges and ECNs, and support inter-institution communication. The second part of the course describes how traders, analysts, and risk managers use systems to cope with the vast amount of data on the economy, markets, and customers that flow into their systems each day. Prerequisites: IDS 1020, ACC 1001, and FIN 1001.

    IDS 2550 Business Intelligence and Consumer Insights (Cross-listed with MAR 2550)  -Data mining is a powerful technology with great potential to help companies focus on the most important information in the data they have collected about the behavior of their customers and potential customers. It discovers information within the data that queries and reports can't effectively reveal. This course explains what data mining is and how it can help a company to compete effectively in the information age. Internet based applications such as social media, website usage, tracking and online reviews as well as a firm’s own activities and business processes, are discussed as potential sources of data. Prerequisites: MAR 1001, IDS 1020, IDS 1131, IDS 2030.

    IDS 2560 Database Management -This course focuses on the analysis of the data needs of an organization and on the design and development of database systems to meet those needs.  Topics include but are not limited to:  conceptual data modeling, normalizing of a database schema, Structured Query Language (SQL), views, stored procedures and triggers, distributed databases, physical database design, database transactions and data security and integrity.  Prerequisite: IDS 1020.

    IDS 3000 Business Intelligence Project-This capstone course focuses on the integration of various methods and technologies a data scientist and a marketing analyst encounters. Students are required to complete a project simulating a real world data science environment. Specifically, students need to query databases, organize data, apply appropriate statistical models, utilize various software packages, and finally present their findings within a marketing context. Many of these steps will require computer programming. Prerequisites: IDS 2030, and IDS 2550. It is recommended that the students also complete MAR 2501 and MAR 3318 before taking this course. 

     


     

     


     

     

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