CIS 470 Advanced Database Analysis and Design (3)
Prerequisites: Grade of "C" or better in CIS 270, 295 and 330. This course provides advanced study in how to develop and implement a business oriented, data-driven information system. Students will design, construct, test, and install a database system using fourth generation event-driven languages and/or other data access tools.
CIS 472 Advanced Object Oriented Programming (3)
Prerequisites: Grade of "C" or better in CIS 270, 295, 310 and 370. This course covers advanced concepts in programming using object-oriented languages within various environments. The emphasis of the course will be on developing programming real-world business/scientific applications that are effective and reliable. Students will design, code, and document programs in an object-oriented language using object-oriented analysis and design methodology.
IF 500 Foundations of Analytics (3) -- ONLINE
This course is an introduction to the field of Analytics, with an emphasis on its applications in different domains of business and organizational operations. Concepts covered include Data; Information; Knowledge; Big Data and Analytics; Data Governance; Information Visualization and Representation; Evidence-Based Decision-Making; Information Retrieval; and Legal, Ethical and Privacy-related issues associated with Analytics.
IF 515 Evidence-Based Decision Making (3) -- ONLINE
This course provides the essential foundation of how one uses data to change the organization through an evidence-based decision making process. Students will have the opportunity to learn about and practice critical evaluation of data across a variety of disciplines. Topics will include logic models, decision making models, cybernetic systems, project/program evaluation, and ways to promote learning and innovation.
IF 520 Information Visualization & Presentation (3) -- ONLINE
This course will expose students to visualization and presentation techniques designed for the interpretation of data, improved comprehension, communication, and decision making. Students will use current software tools to analyze data, design interfaces and create interactive visualization and presentation applications. Topics will include data and image models, design and evaluation of reporting structures, maps and mapping, document collections, object interaction, feedback processes, and scientific and business simulations.
IF 525 Project Management (3) -- ONLINE
This course introduces students to the processes involved with managing a corporate level project from its beginning through implementation and ongoing maintenance. The course will cover current project management methodologies and processes, which include plan assessment, strategy formulation, implementation, quality control, and administration. In addition, the student will develop and review project plans for a corporate level project. The goal of the class is for the student to be able to understand and communicate the basics of managing projects, as well as the competitive advantage these projects bring within the business and industry.
IF 575 Contemporary Issues in Analytics (3) -- ONLINE
This course is a survey of recent technological advances in the area of Analytics. Theoretical foundations of the concepts and their applications in specific business and organizational domains are emphasized. Students will be introduced to specific Analytics techniques that are used currently by practitioners: Predictive Modeling; Data Mining; Marketing Analytics; Web Analytics; Risk Analytics; Text Analytics; and Academic and Learning Analytics.
ORLD 500 Organizational Dynamics (3) -- ONLINE
This course provides a foundation in organizational theory and practice; and introduces students to the field of organizational development. It provides students with a framework for understanding and changing organizations from a micro to macro level. Students will learn how to create an organization that is responsive to environmental forces; and align the organization’s structure and culture with the strategy. The course is applicable to different types of large and small, private and public entities in the contemporary business environment. As part of the course, students will engage in in-depth case study development and analysis of real world businesses.
ORLD 501 Contemporary Organizational Leadership (3) -- ONLINE
This course provides an introduction to leadership, highlighting historical and contemporary perspectives and research findings. Students will review fundamental leadership approaches and theories and examine the role of leaders in the 21st Century. Students will also study leadership development approaches and the impact of effective and ineffective leadership within organizations. Strategic leadership practices will be identified and direct application will be emphasized at the individual, interpersonal/group, and organizational level. Throughout the course, students will create an integrated model of leadership based on credible perspectives, theory, and research findings. Integrated models can be directly applied to an organization that the student studies throughout the course.
ORLD 502 Applied Research Methods (3) -- ONLINE
This course introduces students to the field of organizational informatics, the collection, organization, and use of data to make evidence-based decisions in organizations. Students will learn an action research paradigm that focuses on data collection, synthesis, and dissemination. Students will learn the strengths and weaknesses of different types of data (e.g., subjective self-report, bottom-line performance data, market data), format (qualitative vs. quantitative), and methods (i.e., action research design). Students will learn how to evaluate the credibility of data and how to use data from multiple sources to make informed decisions. Lastly, students will learn some of the key ways to analyze qualitative data (e.g., chi-squared) and quantitative data (e.g., descriptive statistics, correlations, t-test).
ORLD 503 Applied Analytics (3) -- ONLINE
This course introduces students to the analytical skills needed to produce evidence-based research results within their organizations. Students will review the foundations of analytics and they will use these foundations to develop a working knowledge of more advanced analytics (e.g., analysis of variance, regression, and factor analysis). Students will also learn the appropriate ways to report the results of their analyses through the use of text, figures, and tables. In addition, attention will be paid to ways to communicate results to senior leaders and layperson audiences.