Decision Support Systems Courses (BIT-DSS)

Study of quantitative techniques used in managerial decision-making. BIT 2405: Data collection, descriptive statistics, probability theory, and statistical inferential procedures. BIT 2406: Linear regression and correlation analysis, forecasting, mathematical modeling, and network models. Pre: ACIS 1504, MATH 1525, MATH 1526 for 2405; 2405 for 2406. (3H,3C)

This course provides students with an international business experience. It is only offered as part of a program outside of the United States. Students will learn from the structured educational experience developed by the faculty leader. This course is intended for students who want to develop information technology or operations management related free electives. Pre: Instructor’s consent and the completion of 24 semester hours with a minimum GPA of 3.0 or departmental consent. Variable credit course.

Study of the process directly related to the creation and distribution of goods and services. Increasingly, these operations are taking place outside the boundaries of a traditional enterprise. This course teaches students how to analyze processes, ensure quality, create value, and manage the flow of information, products and services across a network of customers, enterprises and supply chain partners. Pre: 2406, ACIS 2116, ECON 2006. (3H,3C)

Computer solution of topics introduced in BIT 2406. Includes computer solution and analysis of management problems using such techniques as linear programming, goal programming, inventory, simulation, and information systems. Spreadsheet and database software will be used to solve these problems. Pre: BIT 2406 or CS 1054 or CS 1114 or CS 1124 or CS 1705. (3H,3C)

Study of selected, advanced topics in decision modeling and analysis. Emphasis on model formulation, solution techniques, interpretation of results and comprehensive approaches to problem-solving. Topics include various methods for modeling and optimization such as integer, goal, and nonlinear programming as well as network analysis and Markov analysis. Includes case studies and use of Excel as the primary analytical tool. Pre: 3424. (3H,3C)

Study of selected advanced topics in business computing. Construction of business applications using an advanced application development environment such as Visual Studio.net. Coverage of computer terminology, HTML, and internet applications. The course builds computer literacy and strong programming skills. Junior standing required. Pre: 3424, CS 1054. (3H,3C)

This course examines the technical aspects of quality management for production operations, service operations and software systems development. Various data and information analysis techniques are developed using a high level business programming language. Quality assurance techniques for software development and analytical techniques for process improvement are emphasized. Pre: 3414. (3H,3C)

The study of the design, analysis and implementation of enterprise-wide resource planning and control systems. The course examines decision support models for production planning, master scheduling, inventory control, shop floor control and related topics in planning and control. The course emphasizes the application of information technologies such as ERP, MRPII, CIM to operations planning and control. Pre: 3414. (3H,3C)

The course provides the necessary background to enable management information systems personnel to understand tradeoffs in information systems hardware, software, and architecture for effective use in the business environment. Topics covered include information technology planning and strategy, trends in computer hardware and systems software, telecommunications and network management, control and management of information resources, distributed and client-server technologies, and data representation and visualization. Partially duplicates CS 1104. Pre: (CS 1054 or BIT 3444). (3H,3C)

Variable credit course.

In-depth study of the application of computer simulation techniques to business decision making and process improvement. The theory of computer simulation and statistical analysis of results are included. Attention is focused on using simulation software stressing application to specific problems. Pre: 2406. (3H,3C)

Study of current technologies for designing and constructing interactive, Internet-based systems for supporting business decisions. Topics may include the operation of the Internet, server-side programming, client-side programming, server-side scripting, XML, XHTML, database integration, COM, CGI, and others. Design issues will be explored through a class project. Pre: 3444. (3H,3C)

Comprehensive treatment of Decision Support Systems (DSS) as managerial tools, particularly in an e-commerce environment. Emphasis is at the builder and user level. A primary emphasis is on problem solving through the integration of various quantitative techniques as well as on IT concepts. The course includes a comprehensive project using state-of-the-art software. Pre: 3434, 4444, 4514. (3H,3C)

Advanced study of efficient methods for streamlining the production and delivery of products and services across functions, enterprises and global boundaries. Topics include the facilities, functions, technologies, and activities involved in creating and delivering products and services, especially in a digital marketplace. Designing and managing a network of suppliers across enterprises is discussed, along with the information systems, risk management and planning issues involved. Pre: 3414. (3H,3C)

This course includes concepts and issues critical in the globalization of business operations and information technology. Topics covered include the organization of global operations, cultural and national comparisons, planning global operations, facilities location, product development, technology transfer, global communication links, transborder data flow, international information systems, and other emerging operations and information technology issues. Pre: 3414. (3H,3C)

Study of efficient methods for planning and controlling projects. Topics include project management and scheduling tools, project quality assurance, risk and cost control, resource constrained scheduling, definition and requirements analysis, task integration, and managing alliances. The application of information technology to project management and control is emphasized throughout the course. Pre: 3414. (3H,3C)

Analysis of business systems that can be modeled as networks. A language and software package such as SLAM (mainframe version) or SLAM System (PC version) will be used. A graphical menu driven network modeling system for the personal computer will be the primary simulation methodology emphasized, providing both a networking language capability and a programming interface capability. Extensive use will be made of both the network modeling feature and the program interface to build and analyze business simulation models. Pre: 2405, 3444, 3424. (3H,3C)

Study of the design of databases and data structures for supporting business. Topics include basic database structure and design, structured query language, database management systems, integration of backend database servers, data warehousing and mining, on-line analytical processing, and database application, security, and management. Pre: 3424, 4524. (3H,3C)

Study of the current technologies for designing and developing computer-based business systems. Topics will include process, logic, and conceptual data modeling methodologies such as Uniform Modeling Language (UML) and important design-related issues such as data flows and system capabilities. Design issues will be explored through class projects. Pre: 2406. (3H,3C)

Study of the design of visual user interfaces for computerized decision support systems in a business context. Primary emphasis is upon the Windows desktop development environment, but emerging trends in hardware and software affecting interface design are covered as well. Course includes several interface design projects implementing the concepts learned. Pre: 3444 or ACIS 2504. (3H,3C)

Study of key artificial-intelligence techniques and their role in decision making in the business context. Primary emphasis is upon knowledge-based systems and neural networks, but fuzzy logic concepts and genetic algorithms are covered as well. Course includes a major software project implementing concepts learned. Pre: 3444 or ACIS 2504. (3H,3C)

This course provides an in-depth introduction to computer networks and data communications in business. Topics include mechanisms for reliable data transfer, local and wide area network topologies and technologies, and a comprehensive treatment of internetworking. The benefits, costs, and security issues related to using computer networks are discussed, along with network design issues, and methodologies for network applications. One semester of college-level programming experience required. Pre: 3424 or ACIS 3515 or ACIS 3504. (3H,3C)

The course first develops the foundations and principles of object-oriented programming, including encapsulation, inheritance, polymorphism, and abstraction. These concepts are acquired via comprehensive hands-on experience with a current OOP language (such as Java). The second portion of the course applies concepts learned to a business-oriented application, such as a web-based, e-commerce scenario. Pre: CS 1054, (ACIS 3515 or BIT 3444). (3H,3C)

Study of advanced concepts and techniques for distributed computer networking and data communications in business. Topics may include new developments in both wired and wireless networking technologies, network planning and design, network security, and network management and disaster planning. Pre: 4554 or ACIS 4554. (3H,3C)

Study of software tools and techniques for designing and developing client/server applications for business. Topics include the architectures of contemporary client/server development tools, client/server development methodologies, and business applications using the client/server paradigm. Pre: 4554 or ACIS 4554. (3H,3C)

Study of the design and implementation of computer systems on the Internet and world-wide-web used for electronic commerce. Emphasis of the course will be on understanding the numerous issues involved in using the Internet and web as tools for the production and distribution of goods and services. Topics will include basics of electronic commerce, security issues in financial and sensitive data transfer, unique aspects of business-oriented commerce such as supply-chain management in relation to consumer commerce, legal and international issues in electronic commerce, building and maintaining an electronic commerce website, and future trends in electronic commerce. Pre: 3414. (3H,3C) I.

Study of policies, procedures, and technologies for enhancing the security of information. Topics include physical security, communications security, emissions security, computer security, and network security. The core security goals of confidentiality, integrity, and availability are emphasized throughout the course. Pre: 4554 or ACIS 4554. (3H,3C)

Variable credit course.

Variable credit course.

Variable credit course.