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Eller College Home > Department of MIS > Doctoral Program > Courses
Management Information Systems

Doctoral Courses

MIS 510 Web Computing and Mining
MIS 531 Enterprise Data Management
MIS 541 Analysis and Design of Service-Oriented Systems
MIS 543 Business Data Communications & Networking
MIS 597A Collaboration Computing
MIS 611A Design Science Research Methodologies
MIS 611B Behavioral Research Methodologies
MIS 696A Readings in MIS
MIS 696D Models for Quantitative Analysis
MIS 794A Ph.D. Field Project
MIS 900 Research

Additional Courses include MIS 900 Research, MIS 910 Thesis, MIS 920 Dissertation and MIS 930 Supplementary Registration. Please see your advisor for more information.

Course Descriptions

MIS 510 - Web Computing and Mining
3 Credit Course
Description: This course introduces data structures and algorithms that are suited for developing Internet-based information systems in business intelligence, search engines, digital libraries, knowledge management systems, web/data/text mining, national security, and biomedical informatics. The course contains lectures, readings, programming assignments, lab sessions, and a large-scale hands-on system development project. The course will begin with select fundamental yet useful data structures (e.g., stacks, queues, lists, trees, and graphs) and sorting and searching algorithms. Newer and more robust web/data/text mining algorithms (e.g., neural networks, decision trees, genetic algorithms, spreading activation, information retrieval, natural language processing) are then introduced in the context of modern and emerging information systems in business, engineering, and bioinformatics.
Prerequisites: Java programming
MIS 531 - Enterprise Data Management
3 Credit Course
Description: This course introduces the student to fundamentals of database analysis, design, and implementation. Emphasis is on practical aspects of business process analysis and the accompanying database design and development. Topics covered include: conceptual design of databases using the entity relationship model, relational design and normalization, SQL and PL/SQL, web based database design, and implementation using Oracle or some other modern Database Management Systems. Students are required to work with a local client organization in understanding their business requirements, developing a detailed set of requirements to support business processes, and designing and implementing a web based database application to support their day- to-day business operations and decision making. Students will acquire hands-on-experience with a state-of-the-art database management system such as Oracle or Microsoft SQLServer, and web-based development tools. This course is also offered online.
Prerequisites: MIS 541 or consent of instructor.
MIS 541 - Analysis and Design of Service-Oriented Systems
3 Credit Course
Description: Service-oriented architectures and computing have emerged as the core of the next generation of information systems. This course focuses on analysis and design of information systems with a service-oriented perspective. This course also covers process analysis and modeling to certain degree since it is the foundation of service-oriented architectures. This course will include some of the following topics: introduction to service oriented architecture, overview of system sourcing strategies, specification of service level agreements, software development approaches, process-driven system integration, introduction to Unified Modeling Language. The course will involve a group project that analyzes and design a real world system in a corporate setting. This course is also offered online.
Prerequisite(s): MIS 531B or an equivalent database course.
MIS 543 - Business Data Communications & Networking   
3 Credit Course
Description: This course provides an in-depth knowledge of data communications and networking requirements, including networking technologies, hardware, and software. This course has two objectives. First, it focuses on basic networking standards and protocols. Second, students will learn to evaluate, select, and implement different data network options and prepare a cost-benefit analysis for a proposed solution.
MIS 597A - Collaboration Computing
3 Credit Course
Description: The practical application of theoretical learning within a group setting and involving an exchange of ideas and practical methods, skills, and principles.
MIS 611A - Design Science Research Methodologies
3 Credit Course
Description: Introduces beginning doctoral degree students and advanced master's degree students to important research and survey articles in the field of management information systems.
MIS 611B - Behavioral Research Methodologies
3 Credit Course
Description: Provides a knowledge of research methodologies used in the MIS discipline, including experimental design, surveys, case studies, field work, and software engineering.
MIS 696A - Readings in MIS
3 Credit Course
Description: The development and exchange of scholarly information, usually in a small group setting. The scope of work shall consist of research by course registrants, with the exchange of the results of such research through discussion, reports, and/or papers.
MIS 696D - Models for Quantitative Analysis
3 Credit Course
Description: The development and exchange of scholarly information, usually in a small group setting. The scope of work shall consist of research by course registrants, with the exchange of the results of such research through discussion, reports, and/or papers. Course will cover basic computational complexity terminology, machine scheduling concepts, and linear programming leading to column generation methodology.
MIS 794A - Ph.D. Field Project
1-6 Credit Course
Description: Students enhance their understanding of real world business problems (provided by a firm or a real case study) and apply appropriate problem solving and project management techniques to address these problems.  Projects are supervised by a faculty member.  Written and presentation skills are emphasized.
MIS 900 - Research
2-4 Credit Course
Description: Individual research, not related to thesis or dissertation preparation, by graduate students.

For additional information, please contact us.