Information Systems- IS
A broad overview of decision-making and the systems that are designed to support the process. The management process; computer support for management; the technology of management; decision technology system types, including artificial intelligence, decision support systems, executive and geographic information systems and idea processing systems; systems architectures; system integration considerations, system design and development methodologies; system performance measurement and evaluation; management of decision technology systems; organizational and user issues.
As of Spring 2009, IS 607 is the equivalent to IS 605 and IS 606.
In this course, students design and implement a realistic database using software tools such as Prisn, Excelator and Ingres. Working in teams, students proceed through all phases of a database development project, including assembling an organizationï¿½s data requirements and graphically modeling and implementing the database using an SQL-based interface. The principles of project management, planning and control are also covered. Prerequisite: IS 410 or IS 610.
This course is designed to introduce the student of information systems management to current research literature and controversial issues regarding the impact of human factors interventions as applied to the everincreasing human-computer interaction.
The course covers most of the major advancements in database technology that have taken place recently. It does not assume any prior background in the field of databases and, hence, starts with basic introductory concepts along with more advanced topics. The course covers both conceptual and hands-on material in the area of database management, thus enabling the student to have the maximum amount of comprehension and retention of the material covered in the course.
Pre-requisite: IS 607.
All of the activities required to progress from the initial identification of an organizational problem to the design of an IT-based solution are covered, as well as specific techniques for carrying out those activities. The emphasis is on both learning the mechanics of the techniques and applying them to real projects.
CO-requisite: IS 607.
Advanced study of structure systems development. Emphasis on strategies and techniques of structured analysis and structured design for producing logical methodologies for dealing with complexity in developing information systems.
This course provides an in-depth analysis of data communications, network designs and distributed mainframes, mini- and micro-computer information systems. The underlying concepts essential to the design of both communication hardware and software are examined. As the theory is developed, laboratory demonstrations and exercises reinforce the applicability of various tools and paradigms to real-world problems.
This course covers implementation and administration of enterprise networking and distributed applications. It includes readings and case studies on middleware, network architecture for distributed applications and selected technologies to support enterprise systems. Prerequisite: IS 650.
This course presents enabling technologies, principles and methodologies for enterprise-wide computing solutions, and it provides hands-on training. Specific technology strategies for using information technology to support enterprise integration, enterprise resource planning and business processes and goals are discussed. You are assumed to have taken IS 632 or IS 650, have an elementary knowledge of server-side and client-side web technology, and have taken elementary programming. A major focus of the course is on doing technical, hands-on exercises and so one should enjoy that type of learning.
This course provides a survey of artificial intelligence concepts, technologies, applications, techniques, methodologies and issues. The first half of the course will focus on expert systems and the knowledge engineering life cycle. The second half of the course will highlight various knowledge technologies, including case-based reasoning, genetic algorithms, fuzzy logic, neural networks, hybrid intelligent systems, data mining and knowledge management. The course also will discuss management implications of use, non-use and misuse of AI technologies. Prerequisite: Graduate student standing and permission of the instructor.
Social interaction via the Internet is becoming increasingly important. People are gathering in online communities of interest and communities of practice to discuss health, hobbies, games, education, politics and professional issues. In this class, students will analyze the technology and social support needed to make these social interactions successful. They also will discuss and debate current research in this field and either develop an online community or carry out a small research project.
This course will analyze how organizations are using electronic commerce to streamline operations, reach customers and increase profitability. The technologies involved in electronic commerce will be examined. The organizational, behavioral, social, legal, security and international aspects of e-commerce will be discussed. The primary emphasis will be on Web-based technologies and issues. This course will reflect the most current research and applications.
This course covers the manner in which a system project is planned, scheduled and controlled during the project’s life. The use of project management techniques such as PERT (Project Evaluation and Review Technique) and Gantt charts are examined in depth, as well as other techniques of planning, scheduling and controlling projects. Prerequisite: IS 601.