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INFORMATION AND DECISION SCIENCES COURSES (IDS)
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.
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
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:
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.
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.
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.
-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: MAR 1001, FIN 1001, IDS 1020 and IDS 1131.
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
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
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.
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.
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:
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.
Available to Yeshiva College and Stern College Students:
MINOR in Information and Decision Sciences
IDS 1020 Introduction to Information Systems
IDS 2030 Business Analytics and Programming
IDS 2160 Decision Models
500 West 185th Street
New York, NY 10033
500 West 185th Street
New York, NY 10033
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