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2024 Spring: January 10 - June 25

Course Class No. Section Start & End Date Day Time Status Location
DATA 640 Predictive Modeling (6)
Prerequisite: DATA 630. An introduction to advanced concepts in predictive modeling and techniques to discover patterns in data, identify variables with the most predictive power, and develop predictive models. Advanced statistical and machine learning algorithms such as support vector machines (SVM), regression, deep learning, and ensemble models are used to develop, assess, compare, and explain complex predictive models. Topics include high-performance modeling, genetic algorithms, and best practices for selecting methods and tools to build predictive models. Major software tools are used to apply predictive modeling in a wide range of domains for improved decision-making in real business situations.
Start date has passed. Please register for the next start date.
25018 9041 10 Jan 2024-02 Apr 2024 Open Online
Faculty: Herranz, Edward Syllabus Course Materials
DATA 650 Big Data Analytics (6)
Prerequisite: DATA 640. An introduction to concepts, approaches and techniques in managing and analyzing large data sets for improved decision-making in real business situations. Topics include text analytics, sentiment analysis, stream analytics, AI and cognitive computing. Discussion also covers how to identify the kinds of analyses to use with big data and how to interpret the results. Advanced tools and basic approaches are used to query and explore data using Hadoop Platform and in-memory analytical tools like Spark ML.
Start date has passed. Please register for the next start date.
24968 9040 10 Jan 2024-02 Apr 2024 Closed Online
Faculty: Ozcan, Ozan Syllabus Course Materials
DATA 650 Big Data Analytics (6)
Prerequisite: DATA 640. An introduction to concepts, approaches and techniques in managing and analyzing large data sets for improved decision-making in real business situations. Topics include text analytics, sentiment analysis, stream analytics, AI and cognitive computing. Discussion also covers how to identify the kinds of analyses to use with big data and how to interpret the results. Advanced tools and basic approaches are used to query and explore data using Hadoop Platform and in-memory analytical tools like Spark ML.
Start date has passed. Please register for the next start date.
26864 9041 10 Jan 2024-02 Apr 2024 Open Online
Faculty: Gortcheva, Elena A Syllabus Course Materials
DATA 670 Data Analytics Capstone (6)
Prerequisite: DATA 650. Completion of a major analytics project designed to integrate knowledge and skills gained from previous coursework and provide a complete analytics experience, including problem scoping (framing), data set preparation, comprehensive data analysis and visualization, and predictive model development. Several peer-reviewed presentations are included to enhance the ability to "tell the story" and explain project approach and results. Projects are selected from student organizations, special government agency requests, or other faculty-approved sources. The project culminates in a complete analytics report and presentation.
Start date has passed. Please register for the next start date.
24969 9040 10 Jan 2024-02 Apr 2024 Open Online
Faculty: McKeeby, Jon W Syllabus Course Materials
DBA 600 Foundations of Doctoral Studies (3)
Prerequisite: Department approval. Prepare for doctoral studies by developing foundational skills in evidence-based research and analytical writing. Engage in critical thinking, in-depth analysis, and research synthesis. Evaluate published scholarship. Assess personal readiness for doctoral study. (DBA 600 is a prerequisite for full admission to the Doctor of Business Administration program.)
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20411 9040 10 Apr 2024-25 Jun 2024 Open Online
Faculty: Lintakoon, Chon C Syllabus Course Materials
DBA 800 Interpreting and Translating Management Theory in Practice (6)
Prerequisite: DBA 600 and full admission to the DBA program. Evaluate management theories to explain organizational operations in relation to forces that act at the level of the individual, group, and society. Connect these explanations within practitioner systems and analyze and associate management theories with practical management strategies.
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20412 9040 10 Apr 2024-25 Jun 2024 Open Online
Faculty: Brizek, Michael G Syllabus Course Materials
DBA 810 Research as a Tool for Management Decision Making (6)
Develop the capability to review, evaluate, and perform management research for decision making, and critically interpret both qualitative and quantitative research methodologies. Apply tools of business research to advise an organization in decision making. Refine skills to effectively communicate management research findings to practitioners.
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20413 9040 10 Apr 2024-25 Jun 2024 Open Online
Faculty: Holliday, Tacy L Syllabus Course Materials
DBA 820 Evidence-Based Research Methods (6)
Acquire and appraise evidence using sophisticated bibliographic search strategies to inform management decision making. Defend qualitative data analysis research choices. Apply evidence-based solutions to an organization, and assess their effectiveness. Develop a plan to use assessments to iteratively improve solutions.
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20414 9040 10 Apr 2024-25 Jun 2024 Open Online
Faculty: Milter, Richard G Syllabus Course Materials
DBA 830 Data Analytics in Practice (6)
Review and refine quantitative skills essential for analytical leadership. Explore methods of data mining, forecasting, and predictive models to inform and enable evidence-based decision making, and investigate the data environment in an organization. Assess an enterprise's current capabilities to develop recommendations for a stronger business intelligence climate.
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20415 9040 10 Apr 2024-25 Jun 2024 Open Online
Faculty: Alshameri, Faleh J Syllabus Course Materials
DBA 840 Designing Evidence-Based Management Solutions (6)
Prepare advice for an organization seeking management solutions to a specific problem. Analyze and evaluate organizational context, select appropriate management tools, and develop solutions. Employ project management methods, and collaborate effectively with the team face-to-face and online. Produce written and oral presentations of results and recommendations to organizational stakeholders.
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20416 9040 10 Apr 2024-25 Jun 2024 Open Online
Faculty: Rivero, Orlando Syllabus Course Materials
DBA 850 Producing Original Management Ideas That Influence: Publishing and Conferencing (6)
Identify a management problem, create an evidence-based research approach to solve the problem, and execute it. Present results at a scholarly or practice conference, and submit written results in the form of a professional quality article to a scholarly or practice journal.
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20417 9040 10 Apr 2024-25 Jun 2024 Open Online
Faculty: Schaller, Robert R Syllabus Course Materials
DBA 860 Producing Actionable Knowledge: Dissertation Problem Statement and Literature Review (4)
Construct a framework for investigating a relevant management problem. Identify the scope of the problem, construct a suitable research question, and examine the scholarly literature that provides a credible and insightful explanation of the primary concepts and relationships surrounding the problem. Produce the dissertation problem statement and literature review chapter.
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20418 9040 10 Apr 2024-25 Jun 2024 Closed Online
Faculty: Marbury, Raymond Syllabus Course Materials
DBA 870 Producing Actionable Knowledge: Dissertation Methodology and Analysis (4)
Design an evidence-based research approach to investigate the dissertation management problem. Collect relevant data to answer the research question, and analyze and interpret the data to consider how they inform the research question. Produce the dissertation methods and results chapters.
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20419 9040 10 Apr 2024-25 Jun 2024 Closed Online
Faculty: Anderson, Mary Jo Syllabus Course Materials
DBA 880 Producing Actionable Knowledge: Management Implications from Dissertation Research (4)
Complete the dissertation process. Formulate and explain the implications and value of the research findings for management practice, and make specific recommendations to improve management practice. Present and defend the dissertation research successfully, and publish it.
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20420 9040 10 Apr 2024-25 Jun 2024 Closed Online
Faculty: Sava, Monica Syllabus Course Materials
DBST 651 Relational Database Systems (3)
An introduction to relational databases, one of the most pervasive technologies today. Presentation covers fundamental concepts necessary for the design, use, and implementation of relational database systems. Focus is on basic concepts of database modeling and design, the languages and facilities provided by database management systems, and techniques for implementing relational database systems. Topics include implementation concepts and techniques for database design, query optimization, concurrency control, recovery, and integrity. A foundation for managing databases in important environments is provided. Assignments require use of a remote access laboratory.
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24816 9040 10 Jan 2024-02 Apr 2024 Open Online
Faculty: Smith, Marion S Syllabus Course Materials
DBST 651 Relational Database Systems (3)
An introduction to relational databases, one of the most pervasive technologies today. Presentation covers fundamental concepts necessary for the design, use, and implementation of relational database systems. Focus is on basic concepts of database modeling and design, the languages and facilities provided by database management systems, and techniques for implementing relational database systems. Topics include implementation concepts and techniques for database design, query optimization, concurrency control, recovery, and integrity. A foundation for managing databases in important environments is provided. Assignments require use of a remote access laboratory.
Start date has passed. Please register for the next start date.
24817 9041 10 Jan 2024-02 Apr 2024 Open Online
Faculty: Shi, Rong Syllabus Course Materials
DBST 651 Relational Database Systems (3)
An introduction to relational databases, one of the most pervasive technologies today. Presentation covers fundamental concepts necessary for the design, use, and implementation of relational database systems. Focus is on basic concepts of database modeling and design, the languages and facilities provided by database management systems, and techniques for implementing relational database systems. Topics include implementation concepts and techniques for database design, query optimization, concurrency control, recovery, and integrity. A foundation for managing databases in important environments is provided. Assignments require use of a remote access laboratory.
Start date has passed. Please register for the next start date.
24989 9042 10 Jan 2024-02 Apr 2024 Open Online
Faculty: McDonald, Mary L Syllabus Course Materials
DBST 651 Relational Database Systems (3)
An introduction to relational databases, one of the most pervasive technologies today. Presentation covers fundamental concepts necessary for the design, use, and implementation of relational database systems. Focus is on basic concepts of database modeling and design, the languages and facilities provided by database management systems, and techniques for implementing relational database systems. Topics include implementation concepts and techniques for database design, query optimization, concurrency control, recovery, and integrity. A foundation for managing databases in important environments is provided. Assignments require use of a remote access laboratory.
Start date has passed. Please register for the next start date.
25112 9080 14 Feb 2024-07 May 2024 Open Online
Faculty: Shi, Rong Syllabus Course Materials
DBST 651 Relational Database Systems (3)
An introduction to relational databases, one of the most pervasive technologies today. Presentation covers fundamental concepts necessary for the design, use, and implementation of relational database systems. Focus is on basic concepts of database modeling and design, the languages and facilities provided by database management systems, and techniques for implementing relational database systems. Topics include implementation concepts and techniques for database design, query optimization, concurrency control, recovery, and integrity. A foundation for managing databases in important environments is provided. Assignments require use of a remote access laboratory.
Start date has passed. Please register for the next start date.
25134 9081 14 Feb 2024-07 May 2024 Open Online
Faculty: Gonzalez, Luis J. Syllabus Course Materials
DBST 652 Advanced Relational/Object-Relational Database Systems (3)
Prerequisite: DBST 651. A continuation of the study of relational database systems, exploring advanced concepts. Topics include logical design, physical design, performance, architecture, data distribution, and data sharing in relational databases. The concepts of object-relational design and implementation are introduced and developed. Assignments require the use of a remote access laboratory.
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24818 9040 10 Jan 2024-02 Apr 2024 Open Online
Faculty: Ogoh, Philomena I Syllabus Course Materials
DBST 660 Advanced Data Modeling (3)
Prerequisite: DBST 651. An introduction to fundamental concepts and techniques for successfully designing databases for structured and unstructured data. Topics include database quality techniques and relational, dimensional, and NoSQL modeling, as well as best practices for selecting methods and modeling tools to design the database models (relational, dimensional, wide column, document, and graph/RDF). Assignments require the use of a remote access laboratory.
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24991 9040 10 Jan 2024-02 Apr 2024 Open Online
Faculty: Salman, Raied A Syllabus Course Materials
DBST 663 Distributed Database Management Systems (3)
Prerequisite: DBST 651. An introduction to the development of distributed database management, focusing on concepts and technical issues. Survey covers distributed database management systems, including architecture, distributed database design, query processing and optimization, distributed transaction management and concurrency control, distributed and heterogeneous object management systems, and database inoperability.
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24819 9040 10 Jan 2024-02 Apr 2024 Open Online
Faculty: Gagner, David W Syllabus Course Materials
DBST 665 Data Warehouse Technologies (3)
Prerequisite: DBST 651. An introduction to the technology approaches for successfully designing and implementing a data warehouse for structured and unstructured data. Topics include data modeling techniques; extraction, transformation, and loading of data; performance challenges; and system tradeoffs in the development of the warehouse environment. Assignments require use of a remote access laboratory.
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24820 9040 10 Jan 2024-02 Apr 2024 Open Online
Faculty: Kuchibhotla, Hari N. Syllabus Course Materials
DBST 667 Data Mining (3)
Prerequisite: DBST 651. An overview of the data mining component of the knowledge discovery process. Data mining applications are introduced, and algorithms and techniques useful for solving different problems are identified. Topics include the application of well-known statistical, machine learning, and database algorithms, including decision trees, similarity measures, regression, Bayes theorem, nearest neighbor, neural networks, and genetic algorithms. Discussion also covers researching data mining applications and integrating data mining with data warehouses.
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24821 9040 10 Jan 2024-02 Apr 2024 Open Online
Faculty: Starcher, Mark L Syllabus Course Materials
DBST 668 Database Security (3)
Prerequisite: DBST 651. An overview of both the theory of and applications for providing effective security in database management systems. Topics include conceptual frameworks for discretionary and mandatory access control, data integrity, availability and performance, secure database design, data aggregation, data inference, secure concurrency control, and secure transactions processing. Models for multilevel secure databases for both relational and object-relational databases are analyzed. Assignments focus on database security concepts and require use of a remote access laboratory.
Start date has passed. Please register for the next start date.
24822 9040 10 Jan 2024-02 Apr 2024 Open Online
Faculty: McDonald, Mary L Syllabus Course Materials
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