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Course Criteria
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3.00 Credits
Data mining is the computationally intelligent extraction of information from large databases. It is the process of automated presentation of patterns, rules, and functions from large data bases to make crucial business decisions. This course takes a multi-disciplinary approach to data mining and knowledge discovery involving statistics, rule and tree induction, neural networks, genetic algorithms, visualization and fuzzy logic. The course is project driven and puts a special emphasis on the use of computational intelligence for scientific data mining related to drug design and bioinformatics. Prerequisites/Corequisites: Prerequisite: ENGR 2600 or equivalent introductory course in statistics. When Offered: Spring term annually. Credit Hours: 3
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3.00 Credits
Analytical and computational modeling of industrial engineering problems in the areas of industrial and manufacturing logistics. Specific applications include facilities planning/design, materials handling equipment/systems, material storage/distribution systems, flow line scheduling and modeling. Prerequisites/Corequisites: Prerequisites: DSES 4770 (MATP 4700) or DSES 4610 or equivalent, and DSES 6110 or equivalent. When Offered: Fall term even-numbered years. Credit Hours: 3
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3.00 Credits
Problems of scheduling several tasks over time. Topics include measures of performance, single machine sequencing, flowshop scheduling, the job shop problem, and priority dispatching. Integer programming, dynamic programming, and heuristic approaches to various problems are also presented. Prerequisites/Corequisites: Prerequisite: DSES 4770 (MATP 4700), or equivalent. When Offered: Fall term odd-numbered years. Credit Hours: 3
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3.00 Credits
This course examines issues in concurrent engineering (CE), a product design process using extensive information and knowledge about the product's manufacture and life cycle performance, including design for manufacturing and assembly. When Offered: Spring term annually. Credit Hours: 3
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3.00 Credits
The course helps develop an understanding of and the method for managing technology as a strategic resource of the firm. In doing so, an understanding of the process, roles, and rewards of technological innovation are developed. Integrating the strategic relationship of technology with strategic planning, marketing, finance, engineering, and manufacturing are covered. Governmental, societal, and international issues are briefly covered. The course uses a variety of cases, readings, reports, and lectures. Prerequisites/Corequisites: Prerequisite: permission of instructor. When Offered: Fall term annually. Cross Listed: Cross-listed as MGMT 6610. Students cannot obtain credit for both this course and MGMT 6610. Credit Hours: 3
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3.00 Credits
This course discusses the role of services in an economy, managing services for competitive advantage, structuring the service enterprise, managing service operations, service productivity, quality, and growth. The final part concerns quantitative models with service operations. Prerequisites/Corequisites: Prerequisite: permission of instructor. When Offered: Spring term annually. Cross Listed: Cross-listed as MGMT 6480. Students cannot obtain credit for both this course and MGMT 6480. Credit Hours: 3
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3.00 Credits
This course emphasizes topics related to information systems and decision making including information and decision systems in organizations, database systems, knowledge systems, system analysis and design, networks and telecommunications in information systems, information systems for service delivery. When Offered: Fall term annually. Credit Hours: 3
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3.00 Credits
Focus on developing competence for database systems analysis, design, and processing. Additional topics such as data and rules modeling, integrity, data languages, DBMS, and distributed databases are also covered. The course presents a high-level look at design and operation issues from the perspective of information systems. Projects are required. Prerequisites/Corequisites: Prerequisite: DSES 6500 or permission of instructor. When Offered: Spring term annually. Credit Hours: 3
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3.00 Credits
Concepts and types of managerial decision support systems. Topics include models for decision making, applied database, and applications of artificial intelligence. Knowledge representation, knowledge acquisition, and the development of expert systems are taught through cases and a project. Use of commercially available software packages. Prerequisites/Corequisites: Prerequisite: DSES 4530 or DSES 6500 or permission of instructor. When Offered: Spring term annually. Credit Hours: 3
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3.00 Credits
Role of information systems in engineering; conventional information handling models in manufacturing and services, the emerging concepts and techniques of information integration for enterprise engineering, such as e-engineering, industrial exchange (B&B) and extended enterprise control using Internet technologies. A systems development framework is employed, ranging from strategic use of information systems engineering methods for planning, analysis and design. Term projects required. When Offered: Fall term annually. Credit Hours: 3
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