Computer Information Systems and Analytics (CISA)

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[1] Computer Information Systems and Analytics (CISA)

5320 CRITICAL THINKING IN DATA ANALYTICS This course provides a foundation for critical thinking in business analytics. It examines the problem-solving process and applies this process to a variety of business cases. This course uses critical thinking to compare and contrast different methods, techniques, and tools.

5330 PRESCRIPTIVE ANALYTICS This course emphasizes an understanding of quantitative aids to decision analysis, utility and game theory, linear programming, queuing theory, simulation techniques, network analysis, and/or Markov processes. Lecture/discussion. Prerequisite: CISA 2330 [ACTS: BUSI2103] or equivalent.

5355 PROJECT MANAGEMENT LEADERSHIP The course is both a concept and computer-application course relying heavily on applying the understanding of the concepts with computer software. The course will employ lectures, case review, team projects, and class discussion. Students work individually and in teams. Lectures emphasize not only the managerial aspects but also the software aspects to solve problems and manage projects. An emphasis is placed on the nine knowledge areas: project integration, scope, time, cost, quality, human resources, communication, risk, and procurement management. Upon completion of the course, you will be able to apply Project Management techniques and use Microsoft Project to develop timelines, network diagrams, and critical path analyses. During the semester, students will have the opportunity to work on a project of their own where they will demonstrate understanding of the course objectives. Lecture/discussion. Prerequisites: CISA 2330 [ACTS: BUSI2103] and CISA 1300 or equivalents, or permission of the instructor.

5360 PRINCIPLES OF INFORMATION SECURITY This is an elective course in the Master of Business Administration program. The course offers an in-depth study of the nature of organizational information security issues as well as exposure to the various aspects of developing, planning, and implementing an organizational information security program. It has broad applicability to managers, IT personnel, and line workers alike as much of today’s “knowledge work” centers around the handling of individual and organizational data and information. In addition to providing exposure to the realm of information security topics, the course also allows for hands-on lab exercises that bring the topics to life. Specifically, students will be exposed to topics such as risk management methods and processes, tradeoffs between security goals and organizational goals, network security tools and technologies, and contemporary legal, ethical, and professional issues in information security.

5379 DATA VISUALIZATION This course is designed to provide students with the foundations and principles of data visualization to create meaningful displays of quantitative and qualitative data, facilitate managerial decision making, and present their insights clearly in a way that will engage their audience, and teaches through many examples of compare and contrast. The course provides discussions on topics such as exploratory data analysis, visual perception and cognition, effective use of chart types and colors, visual analytics (i.e., communicating common statistical relationships such as distribution, correlation, trends, and uncertainty), best practices for visualizing typical data types, including survey and mapping data, and other visualization techniques for persuasion and effective storytelling. The conceptual discussions will be integrated with hands-on experience using popular data visualization software (i.e., Tableau, Power BI).

5380 BUSINESS INTELLIGENCE AND DATA VISUALIZATION This course focuses on business intelligence (Bl), a broad category of technologies, applications, and processes for visualizing and modeling data to help users make better decisions. The course offers coverage of BI processes and technologies, data visualization, and management concerns such as measurement, performance, and individual/organizational impacts. Practical experience in data visualization is provided through projects using leading-edge tools.

5381 DATA MINING AND APPLIED ANALYTICS This course focuses on development of the quantitative and analytical skills required to model, analyze, interpret, and solve managerial decision-making problems. Students will use current techniques and tools to develop the ability to answer business questions through the identification of patterns in data.

6V71 SPECIAL TOPICS IN DATA ANALYTICS (Variable credit: 1 to 3 credit hours) This course is an elective offering for graduate students in CISA programs who desire to engage in academic research. This course may be repeated with different topics for up to six (6) credit hours. A properly prepared research proposal must be submitted and accepted by a graduate faculty member that agrees to supervise the research project prior to enrolling in this course. Prerequisite: Consent of department chair or graduate coordinator.

6V82 INTERNSHIP IN DATA ANALYTICS (Variable credit: 0 to 3 credit hours) Internships are available to provide students academic credit for experiential learning.  To earn 1, 2, or 3 hours of credit, the internship must include a minimum of 40, 80, or 120 hours of information systems and/or analytics work, respectively. Zero credit internships require a minimum of 40 hours of information systems and/or analytics work. It is possible to divide these three credit hours into two different terms, so that the first term would be one (or two) credit hours and the other term would be one (or two) credit hours. This course can be repeated for a maximum of three credit hours. This internship must pertain to Data Analytics. Prerequisite: Consent of Applied Data Analytics program coordinator or CISA department chair.

6325 PREDICTIVE ANALYTICS This course stresses using data analytics software to solve business problems and explain results. The course includes in-depth study of problem-solving methodologies, regression, forecasting, data modeling, and technical report writing. Students will be expected to do more than understand how to use analytics software; they will be required to synthesize and interpret results. Prerequisite: QMTH 2330 [ACTS: BUSI2103] or equivalent.

6335 PYTHON FOR DATA ANALYTICS This course introduces students to data analytic concepts using one of the leading toolsets in this field, the Python language and its related analytical ecosystem. Students will learn fundamental data analytics techniques and apply them using Python-based tools to clean, transform, and analyze data.

6340 SIMULATION AND MODELING IN DATA ANALYTICS This course provides a foundation for discrete event modeling and simulation for business. It covers the foundational concepts of event-oriented and process-oriented simulation and the application of those concepts using commercial simulation software.

6355 INFORMATION TECHNOLOGY PROJECT MANAGEMENT This course is intended for mid-career students and focuses on managing information technology (IT) projects. Students will use a variety of project management software and analytical tools to design, organize, monitor, and evaluate projects and project metrics. This is a managerial focused and not an applied course. The course emphasizes the project management processes endorsed by the Project Management Institute (PMI), the largest PM certifying organization in the world. This course will prepare students for roles on PM teams and preparing them for their certifying exam (Project Management Professional [PMP]).

6364 SQL FOR DATA ANALYTICS This course examines one of the foundational skills for data analytics—retrieving data from a data repository using Structured Query Language (SQL). It will focus on learning and using SQL across multiple environments. This course will cover basic database architecture, data modeling, and using SQL for common database operations, especially queries. Advanced analytics techniques and functions will be examined. The course will also examine NoSQL data repositories.

6365 DATA MANAGEMENT This course examines data management concepts and techniques via a blended approach of student-led discussions and hands-on directed labs. Topics will range from conceptual discussions of data governance and stewardship to combined concept and application approaches surrounding database administration and data quality management. It will include more advanced topics such as data warehousing, document management, and using structured query language (SQL) statements.

6370 APPLIED DATA ANALYTICS PROJECT This course is a culminating course in the MS Applied Data Analytics program and should be taken in the student’s final term. It is also an elective in the MBA program. Students will conduct an original project in which they apply one or more data analytical methods to a dataset to create an actionable recommendation. The deliverables for the course include a paper documenting the student’s project and the presentation of their results. Prerequisite: 15 hours in the MS-Applied Data Analytics or MBA program (MBA classes must include a minimum of 9 hours Data Analytics course work).

6383 DATA MINING II This course is a continuation of CISA 4381/CISA 5381 that further investigates machine learning techniques used for data mining. The course examines both supervised and unsupervised learning techniques beyond those used in the prerequisite courses. It also covers advanced data preparation techniques. The course includes a significant individual data project to prepare and model data to address a business problem. Prerequisite: CISA 4381 or CISA 5381 or equivalent.