• Information and Decision Sciences



    All courses are 3 credits unless otherwise noted.

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



    IDS 0001 Pre-Statistics for Business (0 credit)
    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 1030 Introduction to Computer Programming 

    Introduction to developing software using structured programming and object oriented techniques. Topics include but are not limited to variables, data types, control flow, subroutines and functions, arrays, introduction to classes and objects, methods, information hiding, constructors, inheritance, polymorphism and exception handling. Students develop their problem-solving skills through programming exercises.

    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. Credit is not given for STA 1021. Prerequisite: passing Mathematics Proficiency Exam or IDS 0001.

    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 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, IDS 1456.

    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, IDS 1131, IDS 1601, MAN 1001.

    IDS 2550 Business Intelligence and Consumers Insights (Cross-listed with ENT/MAN/MAR 2550)  

    Data mining is a powerful new 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, how it can be used, and how it can help a company leapfrog its competition. 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. Prerequisite: MAR 1001, IDS 1020, IDS 1131

    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, MAN 1001

    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, FIN 1001

    IDS 2822 Systems Analysis and Design 
    This course focuses on concepts and methods used in the analysis, design and maintenance of complex computer-based information systems.  It explores the major issues at each stage in the Systems Development Life Cycle (SDLC).  Various technical tools ranging from flowcharts and Universal Modeling Language (UML) diagrams to automated design techniques are discussed.  The course aims to sharmen student’s critical thinking skills in trying to work through the details of a complex software and hardware infrastructure that best meets the needs of all stakeholders in an information system.  A team project provides students with the opportunity to apply the concepts learned in class to a non-trivial systems analysis and design problem.  Prerequisites: IDS 1030, IDS 3560.

    IDS 3000 Technological Problem Solving 
    This capstone course focuses on the design and implementation of behavioral and quantitative models to aid decision makers. It requires a project for designing and implementing an actual decision support system. The emphasis is on effective design, implementation and use of existing models of decision support. Prerequisites: IDS 1030, IDS 2822, IDS 3530 and IDS 3560.

    IDS 3530 Networking and Data Communications 
    This course focuses on the fundamentals of data communication networks, their architecture, principles of operations, and performance analyses. Prerequisite: IDS 1020.

    IDS 3560 Database Management 
    This course focuses on the analysis of the data needs on an organization and 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, data warehousing, physical database design, database transactions, backup and recovery strategies, data security and integrity and the integration of databases with software development programming languages.  Prerequisites: IDS 1020 and IDS 1030.

    IDS 3600 Strategic Information Technology Management 
    This course explores information technologies to enhance strategic goals of the organization. It examines the relationship between broad strategic goals and organizational mission, and specific tactical IT responses. It also considers strategic importance of ERP, CRM, corporate intelligence, and knowledge sharing. Prerequisites: IDS 1020, ACC 1001, ACC 1002, MAN 1001*, MAN 1020, MAR 1001, BLW 2021/2111, IDS 1601, FIN 1001, IDS 1131.



Yeshiva University
500 West 185th Street
New York, NY 10033

Connect With YU