Information Systems (Gabelli Undergraduate) (INSY)
INSY 2299. Information Systems: GSB Integrated Core Only. (1.5 Credits)
This course introduces students to the subject of computer-based information systems in business. Upon completion of this course students should be familiar with the basic concepts and current developments in the field of information technology and information systems; appreciate the role of information systems in business organizations; and understand the issues that employing information technology raises. Students also learn to use effectively key software tools (spreadsheets and databases) that improve personal productivity and can contribute to business value.
INSY 2300. Information Systems. (3 Credits)
This course introduces students to the subject of computer-based information systems in business. Upon completion of this course students should be familiar with the basic concepts and current developments in the field of information technology and information systems; appreciate the role of information systems in business organizations; and understand the issues that employing information technology raises. Students also learn to use effectively key software tools (spreadsheets and databases) that improve personal productivity and can contribute to business value.
Attribute: BUMI.
INSY 2301. Information Systems: GSB Integrated Core Only. (1.5 Credits)
This course introduces students to the subject of computer-based information systems in business. Upon completion of this course students should be familiar with the basic concepts and current developments in the field of information technology and information systems; appreciate the role of information systems in business organizations; and understand the issues that employing information technology raises. Students also learn to use effectively key software tools (spreadsheets and databases) that improve personal productivity and can contribute to business value.
Prerequisite: INSY 2299.
INSY 3421. Accounting Information Systems. (3 Credits)
This course introduces students to computer-based accounting information systems (AIS). Students master the understanding of business processes, transaction cycles and internal controls, as well as their respective current day systems components.
Attributes: FTIS, PRQU.
INSY 3432. Data Management and SQL. (3 Credits)
This course focuses on database design principles and techniques, including entity relationship model, relational model and normalization. Students will become familiar with SQL (structured query language) and database management system capabilities. The concepts and techniques are applied to practical business data processing environments. The course includes a series of exercises on design and implementation of database applications using commonly available database management systems. It is recommended that MICS majors and ICS primary concentrators take this course concurrent with, or prior to, Systems Analysis (INSY 3441).
Attribute: FTIS.
INSY 3433. Programming with Java. (3 Credits)
(Formerly “Business Applications Development”) This course provides an introduction to business applications programming concepts, techniques and tools. Students will acquire practical skills and experience with object-oriented development using the Java language. Topics include the elements of the language, common Java classes, object-oriented programming including inheritance and interfaces, and object-oriented design. Examples will be drawn from various business areas.
Attributes: ENT, FTIS.
INSY 3436. ST: Programming with Python. (3 Credits)
Do you want to be able to solve business problems through programming and coding? This course introduces key concepts, techniques, and tools. Students will learn to program using the widely used Python programming language. For students new to programming, this is the recommended introductory course.
Attributes: ACIS, ENT.
INSY 3437. ST: Sports Analytics. (3 Credits)
This course provides a comprehensive exploration of sports analytics, integrating statistical modeling, data-driven reasoning, and computational tools to analyze athletic performance and decision-making. Students will develop proficiency in Python through guided tutorials focused on data manipulation, visualization, and predictive modeling, with an emphasis on regression analysis and its application to real-world sports contexts. In addition, students will learn how to analyze player efficiency, team strategy, and game outcomes using advanced metrics that challenge traditional evaluations. By the end of the course, students will be equipped to translate raw data into actionable insights that inform coaching, scouting, and front-office decisions.
Attribute: SJOR.
INSY 3438. ST: Cybersecurity in Bus. (3 Credits)
This class will explore the concepts of cyber risk management within an enterprise. The course will help a manager develop a solid understanding of cyber risk and successful mitigation strategies to reduce an organization’s risk profile. The course will include topics such as IT control assessments, static and dynamic application security, network security, information security policies and standards, threat modeling and analysis, risk/benefits of BYOD (“bring your own device”), IOT (the Internet of Things), and many other real-time cyber topics.
Attribute: ENT.
INSY 3441. Systems Analysis. (3 Credits)
An introduction to the process of developing information systems. Emphasizes soliciting business, user, and functional requirements, and building conceptual models that help to analyze these requirements. Major topics include project identification, selection, and planning; requirements solicitation, development, and management; business process modeling; and traditional and object-oriented system analysis techniques. It is recommended that MICS majors and ICS primary concentrators take Database Systems (INSY 3432) concurrent with, or prior to, this course.
Attribute: FTIS.
INSY 3442. Web Apps Design and Development. (3 Credits)
A well-designed web presence and useful web applications are essential for all companies today. This course focuses on hands-on development of web applications that create business value. Major topics include a review of project planning, system analysis, and project management; architecture design; detailed component, database, network, and (user and system) interface design; web applications programming and testing; and web applications implementation (deployment and transition to use and support organization). Languages covered include HTML, CSS, JavaScript, and PHP. Note: It is recommended that students take Systems Analysis (INSY 3431) prior to this course.
Attributes: ENT, NMAC, NMDD.
INSY 3450. ST: Fintech - An Introduction. (3 Credits)
FinTech is a new and emerging field of technology that is disrupting the way that many companies are conducting business. FinTech has already “forever” changed many sectors including mobile payments, social media, money transfers, loans, fundraising, travel, trading and asset management. It has completely revolutionized the way companies are developing products, conducting research, establishing directed sales and marketing plans, and utilizing start-up technology. Businesses are using FinTech to expand their products and services at a fraction of its previous cost. Entrepreneurs are utilizing FinTech as a central foundation for research, funding, and product development. Customers are already utilizing FinTech as part of their daily lives - mobile apps, social media, banking, online shopping, entertainment and gaming. This course will introduce students to the breadth of FinTech, and touch upon the technical underpinnings.
Attribute: ENT.
INSY 4411. ST: Healthcare Info Tech. (3 Credits)
Introduces students to the subject of health information technology (HIT) and describes the organizational context surrounding the implementation, use and management of HIT. Examines the concepts, applications, and strategies of HIT. Key concepts include the role of HIT in enabling quality, safety and efficiency of health care dlivery. THe course surveys the various types of HIT including electronic health records, clinical decision support systems, master patient indexes, analytics, telemedicine, etc.
INSY 4412. ST: IT and Sustainability. (3 Credits)
This course discusses the transformative role of information and communication technologies (ICTs) in enabling sustainability. ICT’s effect on sustainability dimensions are felt at both the macro, societal level, as well as at the business level. These include ICT’s positive impact on development, education, environment, health care, power, transportation, and others. Simultaneously, ICT’s themselves are subject to sustainability practices, for example, green computing. Additional topics include the design of smart cities, digital divide, the knowledge society, rebound effects, governance, and world development indicators. Students working in groups will analyze several contemporary cases form a global perspective and also develop and IT-based sustainability plan.
Attributes: ENT, SOIN.
INSY 4413. ST: Digital Technology and Social Justice. (3 Credits)
This course will examine the social impacts of advances in digital technologies on society. The topics covered in the course will include the digital divide, technology-enabled classroom and remote learning, the effect of technology on employment opportunities and social mobility, AI and the future of work, and the role of social media platforms in forming opinions about “others” (as defined by race, gender, nationality), e-government, and uneven access to government services. While our primary focus will be on how technology changes affect underprivileged minorities in the U.S., we will also examine the effects of uneven development across different nations. The course will be run as a research seminar. Each student, working individually or in groups, is expected to undertake research on digital technology and social justice topics. The course is open to Gabelli School of Business graduate students and undergraduate seniors.
INSY 4414. ST: Ethics of Data Analytics and AI. (3 Credits)
This class provides a comprehensive understanding of the data market and artificial intelligence (AI) business from an ethical perspective. Data analytics opens a set of possibilities and improvements for decisions in business. However, it introduces new risks and moral challenges. This course aims to explore the ethical implications of data analytics within business, with a focus on AI systems. We will study concepts such as privacy, surveillance, power, justice, and accountability related to the production and use of data. The classes will be tied to discussions of a current case (an article or two) following a theory or concept. Our readings include work from philosophy, law, computer science, economics, and AI ethics. The goal is to provide students with the tools to develop critical thinking toward data analytics with ethical frameworks, theories, concepts, and real-world examples.
INSY 4431. Web Analytics. (3 Credits)
In a global market where Internet usage has increased dramatically, it's becoming increasingly critical for businesses to be more aware of how their potential customers can find them via online search, understand the value of social media and understand website performance measures. Web analytics course aims to discover useful knowledge from Web hyperlinks, page content and usage log. The course covers the following topics: mining and integration of useful web content information, web structure analysis, social network analysis, web traffic and visitor analysis, Search Engine Optimization (SEO) and Pay-Per-Check (PPC) model in Search Engine Marketing (SEM). The course is a combination of lecture, case studies, hands-on exercises and a real world project.
Attributes: ENT, NMAC, NMDD, NMMI.
INSY 4432. Mobile Commerce & Apps. (3 Credits)
Roughly two-thirds of the world's population participates in the new mobile economy. Leveraging the mobile marketplace requires a conceptual understanding of mobile-commerce as well as the practical skills needed to create the next generation of wireless enabled goods and services. This course will provide both, using a combination of global case studies and hands-on experience in building mobile applications for handheld devices.
Attributes: ENT, NMAC, NMDD.
INSY 4433. Advanced Python with AI. (3 Credits)
Python is a fundamental foundation for AI applications, prototyping, and research. In fact, ChatGPT was built using Python, leveraging several Python libraries. Python is widely considered the best language for artificial intelligence work based on its extensive and powerful libraries combined with its ease of learning and use. This course covers advanced Python programming skills and fundamental AI techniques, enabling students to tackle real-world challenges in various business domains. Students will delve into data acquisition and modelling, explore machine learning models, and learn how to access and integrate cutting-edge generative AI services. Effectively leveraging AI tools (for example, the Cursor AI IDE) in different facets of development will also be covered. Through practical exercises and project work, students will gain the expertise to develop AI-driven solutions, preparing them for leadership roles in the rapidly evolving field of artificial intelligence.
Attribute: FTIS.
Prerequisite: INSY 3436.
INSY 4434. ST: Machine Learning for Business. (3 Credits)
This course introduces students to data mining techniques and their use in business decision-making. It is a hands-on course that provides an understanding of the primary methods in classification and prediction. Students work in teams to solve business problems by applying data mining tools with real-world data sets.
Attributes: 0CIT, ENT, FTIS.
INSY 4435. ST: AIS Consulting Project. (3 Credits)
Students define and implement controls to accurately capture and process data and to protect information assets against internal and external risks. Working in teams and under the guidance of a faculty mentor, students develop client solutions that are rooted in rigorous analysis. At the end of the term, students present their project findings to the client and receive client feedback. Students acquire consulting and project-management skills, and they network with industry professionals in the accounting and information system areas.
Attribute: ACIS.
Prerequisites: INSY 2299 or INSY 2300 and (ACBU 2222 and ACBU 2223).
INSY 4505. AI and Data-Driven Marketplaces. (3 Credits)
This course explores how data and AI shape modern marketplaces—from Amazon and Airbnb to labor, dating, and public-sector markets like housing and school choice. Students will learn how to identify marketplace opportunities (entrepreneurship and strategy), design matching, pricing, and reputation systems and conduct A/B tests to evaluate and optimize their performance (product management, data analysis, and strategy), and deploy AI-driven features and agents to improve marketplace performance (product management and AI engineering). Through lectures, cases, and hands-on Python sessions, the course helps students develop both conceptual and analytical skills for understanding and managing online marketplaces. No prior programming experience is required.
Attributes: ENT, FASH, NMAC, NMDD.
INSY 4506. Business Analytics. (3 Credits)
This course introduces Business Analytics and such related concepts and techniques as Business Intelligence (BI), data analytics, data warehousing, and data mining. It explores how business analytics can help in improving management decision-support effectiveness in such functional areas as marketing, finance, and manufacturing. The course is intended for business students in general and not just IS/IT specialists. In addition to conceptual material, students will gain substantial hands-on experience with a set of BI tools.
Attributes: 0CIT, AAAF, ENT, FTIS.
INSY 4507. Project Management. (3 Credits)
This course provides the project management skills needed to develop information and communications systems on time and within budget. It concentrates on methods and issues of organizing, planning and controlling of projects and the use of computer-based project management tools. Cross-listed with MGBU 4507.
Attribute: 0CIT.
INSY 4508. Advanced Data Analytics with Excel & Power BI. (3 Credits)
This course develops advanced skills in business data analytics using Microsoft Excel, with an emphasis on designing and implementing analytical models that incorporate optimization, forecasting, and simulation to evaluate complex business scenarios in areas such as finance, sales, marketing, and planning. Students will gain hands-on experience with advanced Excel functions and tools, including lookup functions, data summarization functions, financial functions, what-if analysis, and pivot tables. The course also covers Solver in Excel to solve Linear and Integer Programming problems for applications such as production planning, advertising, portfolio management, and transportation planning, as well as simulation techniques, including Monte Carlo Simulation, to evaluate business models under uncertainty. In addition, students will be introduced to Power BI through the Power BI Desktop to design interactive dashboards that communicate insights effectively. By the end of the course, students will be able to build Excel-based solutions that address real-world business challenges with analytical rigor and clarity.
Attributes: 0CIT, ACIS, FTIS, PRQU.
INSY 4706. Honors Thesis II - Info Sys. (3 Credits)
Honors project in Info Systems.
INSY 4800. Global Information Technology Strategy and Management. (3 Credits)
Information Technology has become one of the most important strategic tools in business, as businesses have gone global in the new “flat” world. Companies that leverage technology creatively and effectively are poised for outsized opportunities and increased profitability. Information technology is examined from both a general manager and IT department perspective under different organizational frameworks. The goal is to explore how managers evaluate and utilize existing and emerging technologies for process improvement and new business ventures on a global scale.
Attributes: ACIS, GLBB, PRQU.
INSY 4999. Independent Study. (1.5 to 3 Credits)
INSY Independent Study.