Use of information technology to collect, analyze, and transform data into knowledge using desktop software and commonly available Internet-based resources and the evaluation of information sources for accuracy, suitability, safety, security, societal and ethical issues.

Approaches to identifying exposure threats against personal information as a means to establishing end-user best practices. Topics include digital reliance impact on culture, system exploitation at the hardware, operational, and application level; ethical concerns related to hacking and application use.

Object-oriented problem-solving tools, techniques, and solution structures for desktop-oriented, user-layer environments, a survey of third-generation programming languages (3GL), introduction to the object-oriented paradigm.

Theoretical foundations of organization of information; cognitive structures and processing of data, information, knowledge, and understanding information uses and users. The integrated and interdisciplinary nature of information science and computer science is introduced and developed through case studies and examples from concentration disciplines: business, education, communication, and healthcare settings.

Introduction to the major features of operating system software, the primary functions of CPU's, bus architectures, secondary storage devices, peripheral devices, hardware and software configuration. The goal is the assembly and disassembly of microcomputer systems and installation of operating systems, network operating systems, and applications software.

Needs, uses and consequences of information in organizational contexts, information technology platforms, architectures and infrastructures, functional areas and processes, information-based products and services, the use of and redefining role of information technology, sociotechnical structures, and the rise and transformation of information-based industries.

Needs, uses and consequences of information in organizational contexts, information technology platforms, architectures and infrastructures, functional areas and processes, information-based products and services, the use of and redefining role of information technology, sociotechnical structures, and the rise and transformation of information-based industries.

Methodologies, tools, skills, and knowledgebase supporting a repeatable, structured, and disciplined approach to innovative problem solving, brainstorming, and alternative thinking included, but not limited to: useful/harmful feature analysis, problem formulator diagramming, selection and application of innovation operators, and the innovation situation questionnaire.

Basic concepts of computer networks, data telecommunication and distributed applications, including network topology, hardware, software protocol, security, and the implications of network technologies on the deployment and implementation of networked systems.

Basic architecture, structures, and query languages. Topics include design and implementation of RDBMS, relational data models, conceptual modeling, data independence, specification of data requirements, normalization, recovery and security.

The art of effective creation of formal oral and written communications in a professional environment using modern technology to assist in writing and presentation. Covered topics include using word processing software to ease the research process, evaluation of information sources, the proper use of visual aids such as PowerPoint, the creation of video presentations, effective speech writing, power-speaking methods and techniques, and methods of persuasive writing in the professional work.

Understanding the components of various technologies and their importance in information management and dissemination within and outside the organization.

Design of user-layer Web pages using HTML, Java script, Flash, and Dreamweaver, featuring graphic preparation, layout and effective presentation of information.

Directed and self-guided research into topics of interest in the field of informatics. May be repeated for a maximum of 6 credit hours.

Coordination and cultural challenges, value creation opportunities, and information management issues associated with various forms of electronic commerce including electronic data interchange, the World Wide Web, and the Internet in today's global economy.

Issues information management as they relate to the International Information Systems Security Certification Consortium's 10 security domains. The role of the security domains in the context of design, implementation, and maintenance of systems to include the legal and ethical aspects of privacy and security. Case studies covering these roles are included.

Data warehousing, online analytical processing, and decision support systems. Topics include design and architectural issues, cost effectiveness, management concerns, data integrity, deployment, and maintenance issues.

Knowledge representation, intelligent decision systems, principals of rule-based systems, action rules, interestingness measures, distributed query answering. Select study of actual systems and applications in specific domains such as: medicine, business, communications, and education.

Concepts of interaction and how people acquire, store and use data including interface analysis and creation, human factors in perception, pattern recognition, speech recognition, attention, memory and expectation.

Infrastructure, management, analysis, applications, visualization, architectures, security, and privacy issues of large-volume, rapidly-changing, uncertain, unstructured data sources.

Fundamentals, management issues, and architectures of cloud-based implementations, concepts, models, enabling technologies, security, and cloud infrastructure.

Network and security foundation, data recovery techniques, network vulnerability assessments and technologies, cyber intelligence and internet governance, anticipating attacks, using monitoring tools, and developing defensive strategies.

Concepts, fundamentals, and historical evolution of artificial intelligence (AI) and cognitive system technologies including machine learning, conversational natural language interfaces, large language models, and generative pre-trained transformers (GPT).Topics include the social, cultural, ethical, and commercial impacts of advancements in AI.

Principles and practices of designing and refining prompts to effectively interact with artificial intelligence (AI) models including crafting prompts, understanding AI behavior, and improving AI responses. Practical experience is gained through hands-on projects and real-world applications.

Theories, models, and methodologies underlying expertise and artificial intelligence (AI) focusing on the application of AI tools and techniques in designing, implementing, and evaluating systems able to enhance human performance to expert levels or beyond in various domains. Topics include the social, cultural, ethical, and commercial impacts of the democratization of expertise.

Information technology and communication requirements of, and cultural or social issues pertaining to, the flow of work through distributed information management processes in business and other organizations. Students taking the health informatics minor focus on applications in healthcare settings.

Breakdown, estimation, leadership of a diverse team, and the use of tools to ensure the completion of deliverables within budget and on schedule. Students taking the health informatics minor focus on applications in the healthcare settings.

Recovery and analysis of digital evidence, legal and technical issues, and the use of modern forensics tools and techniques. Real-world case studies regarding security and investigative forensics processes are used.

Issues and challenges facing IT executives including IT alignment and governance, consensus, executive leadership, oversight, return-on-investment analysis, project management, and risk management. Students taking the health informatics minor focus on applications in the healthcare settings.

Concepts, fundamentals, and historical evolution of artificial intelligence (AI) and cognitive system technologies including machine learning, conversational natural language interfaces, large language models, and generative pre-trained transformers (GPT).Topics include the social, cultural, ethical, and commercial impacts of advancements in AI.

Current trends, events, software, hardware, and issues in informatics, information technology, and information management. May be repeated for a maximum of 6 credit hours.

The application of learning in a professional setting. To complement and strengthen the Information Management and Systems academic program, students will complete a planned program of observation, study, and work in selected organizations with information management and systems offices. Student will have an opportunity to apply and articulate what they have learned in the classroom. Pass/Fail credit.

Integration of knowledge in information management and systems. Students will study and evaluate current innovations in technology and current applications of these systems. Case studies involving information systems technology will be used. Students will research and present new trends in technology. Students will experience an intensive and practice exercise in scholarship production. Class discussion will foster effective and creative implementation of research strategies, writing abilities, documentation procedures, portfolio development, and presentational skills.