Operations and Supply Chain Management Courses (BIT-OSM)

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)

Variable credit course.

A comprehensive study of the management of service operations, with particular emphasis on B2B (business to business) services. Topics include the service economy, service system design and delivery, service strategy, and decisions in support of service strategy, such as service quality, service innovation, service technologies, and the optimization of service resources. Pre: 3414, FIN 3104, MKTG 3104, MGT 3304. (3H,3C)

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)

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)

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)

Variable credit course.

Variable credit course.

Variable credit course.

Variable credit course.