Course Descriptions

ISYS 184—Business Information Systems: 3 credits

"What do information systems have to do with business," you ask? Everything! A profound and fundamental shift is underway in our economy. A shift away from an industrial-based to an information-based economy. The information-based economy has complex implications for the management of the modern enterprise. The goal of this course is for students to see how modern businesses use information systems to increase profitability, gain market share, improve customer service, and manage inventory and daily operations across a wide variety of fields, including accounting, finance, marketing, and supply chain management. The course also highlights how innovative firms are constantly experimenting with new types of products, production processes, organizational structures, and competitive strategies that can only be enabled through the use of information systems. In other words, information systems provide the foundation for modern business enterprises. The information economy also has important and irrevocable workforce implications. Tremendous demand will exist for employees that can combine technical skills with business insight to create value for their organizations. Accordingly, this course is also designed to both explore careers in Information Systems Management (ISM) and demonstrate how Information Systems (IS) can be utilized in any career to facilitate personal and organizational success. The course approaches the above topics by developing requisite technology concepts and skills required for success and efficiently and effectively applying those skills in a business context.

ISYS 284—Data for Decision Making: 3 credits

Contemporary organizations invest heavily in collecting and storing enormous quantities of data related to their business operations, markets, and supply chains. It is critical for future business leaders to understand the value of this data as a resource to be converted into useful, actionable information. Using an established decision-making methodology as an organizing framework, this course explores the acquisition, storage, analysis, and presentation of information suitable for the support of decision making. Course topic areas include data acquisition, data management, and data visualization in a business context. Where appropriate, these concepts will be supported with technological tools and will build on existing statistical analysis skills to support evidence-based decision making in realistic business scenarios. At the conclusion of the course, students will have necessary knowledge and skills required to explain and demonstrate how data and information can be used to support decisions and thus be a point of strength for an organization.

ISYS 380—User Experience Design: 3 credits

The User Experience Design course covers the various design principles to consider when creating a user centered product or service. Students learn standardized discovery techniques and tools to meet users' needs with hands on assignments. Concepts learned are applied in a software application redesign project with the aim to enhance user's journey.

ISYS 381W—Systems Analysis and Design: 3 credits

This course presents methods and tools for the analysis and design of information systems. Systems analysis includes the documentation of the system currently in place. This involves the use of data-flow diagrams and UML models to describe the current state of affairs, including the needs of the users, the data necessary in the system, and the current processing taking place. The design stage includes the development of a new information system better suited to the situation under study. The needs of the user and the goals of the organization are stressed in this process. The systems development life cycle is studied and object-oriented technologies are introduced and integrated throughout the course.

ISYS 382—Data and Information Management: 3 credits

Data is a critical asset for most modern organizations. This course provides the students with an introduction to the core concepts in data and information management. It is centered around the core skills of identifying organizational information requirements, modeling the requirements in an industry-standard conceptual data modeling technique, converting the conceptual data models into physical models, and verifying the models' structural characteristics with normalization techniques. The course utilizes one of the industry standard databasement management systems (Microsoft SQL Server) to practice the implementation and querying of database designs using Structured Query Language (SQL).

ISYS 480—Introduction to Python for Data Analytics: 3 credits

This course introduces students to the fast-growing field of data analytics by focusing on introductory skills of programming, problem solving and algorithmic thinking in Python. The course will combine a technical focus with activities and assignments designed to provide students with the opportunity to learn how to increase decision making efficiency and productivity in various business scenarios through programming. The course will take a hands-on approach and no prior programming experience is expected.

ISYS 483—Enterprise Systems: 3 credits

This course provides students with the core concepts in enterprise models and synthesizes content that is applicable to most today's enterprise resource planning (ERP) systems. It is centered around the ERP life cycle, ERP systems architecture, business process reengineering, process mapping, ERP functionality, and auditing of ERP systems. The course will also include coverage of basic ERP administration tasks. In addition to discussing core concepts, this course helps the students understand how modern organizations are highly dependent on the use of enterprise systems. With ERP software, there is usually an application server and a database server sitting in an onsite data center. These servers require a team of information technology experts to maintain, service, and upgrade the software. Because of the expertise needed to manage an ERP, there has been a resounding acceptance of cloud computing ERP software solutions in the corporate environment. Because of this, students will learn how to work with an ERP in the cloud.

ISYS 484—Business Intelligence: 3 credits

Research shows that business intelligence (BI) technology is evolving and that organizations on the cutting edge of these new trends can gain significant competitive advantage. Business intelligence is a set of methodologies, processes, architectures, and technologies that transform raw data (both internal and external to the organization) into meaningful and useful information. Simply put, the primary objective of BI is to support better business decision-making by exploiting relevant and timely information. Thus, BI systems can rightly be called a decision support systems designed to infuse more effective strategic, tactical, and operational insight into the decision-making process.

ISYS 486—IT Security and Risk Management: 3 credits

This course provides an introduction to the fundamental principles and topics of Information Technology Security and Risk Management at the organizational level. Students will learn critical security principles that enable them to plan, develop, and perform security tasks. The course will address hardware, software, processes, communications, applications, and policies and procedures with respect to organizational IT Security and Risk Management.

ISYS 489W—Information Systems Capstone: 3 credits

This capstone course integrates the information systems curriculum by exploring the technical and control aspects of information systems. In particular, the course guides students through the entire systems development life cycle, from user requirements, through systems analysis and design, to the development and implementation of a working application. It reinforces concepts learned in previous courses, such as systems analysis and database management, and supplements those courses with new skills, such as requirements analysis, application development, testing and quality assurance. These skills are acquired in the context of a significant, term-length application development project. The course also explores current and trending topics in information systems.

ISYS 490—Applied Data Analytics: 3 credits

The problems faced by decision makers in today's competitive business environment are complex. To achieve a clear competitive advantage by using data, explain the performance of a business, and evaluate different courses of action, data-driven decision-making is needed. ISYS 490 Applied Data Analytics course will explore multivariate techniques to analyzing data through the Python programming language. As an applied analytics course, emphasis will be on application of analytics techniques explored through conceptual, computational, and procedural computer applications. This skills-based course is intended for students who have a basic or intermediate Python or programming background.