Survey of emerging information technology (IT) trends, featuring IT industry professionals presenting disruptive and emerging information technologies being developed and/or adopted by businesses within South Carolina.

The Internet of Things (IoT) and its transformation of our lives, organizations, and communities. Uses simulations, virtualization, and various microcontrollers to reinforce key IoT concepts.

Review of current trends & challenges of human-computer interaction, the design of emerging technologies including AI-driven technologies, such as chatbot design, Internet of Things design, and human-robot interaction design, biometric evaluation methods, and usability testing with AI-driven emerging technologies.

Comprehensive introduction to cloud computing. Key concepts such as cloud types, delivery models, leading service providers, networking, storage, virtualization, containerization, orchestration, and cloud security. Navigating modern IT environments and making informed decisions when implementing or utilizing cloud solutions.

Theory, design, and implementation of technology-based training systems, including hardware and software solutions.

Telecommunications systems, applications, and equipment allowing for the global dissemination of information.

Shell scripting and administration in the Linux operating system.

Project management principles and standard practices, including software applications for project management.

The development of advanced, dynamic, Web-based information systems, including the integration of back-end database-records management systems.

Application of project management software, technologies, and practices to the design and implementation of real-world capstone projects.

Introduction to database administration and implementation using an enterprise-level Relational Database Management System (RDBMS).

Advanced concepts, issues, and trends in technology support and training management. Course content varies and will be announced in the schedule of classes by title. May be repeated twice for credit.

Computer application skills and concepts used in training support and business education.

Spreadsheet and database application skills and concepts used in training support and business education.

Management of enterprise networks, including switched Local Area Networks (LANs), Wide Area Networks (WANs), data centers and cloud systems; monitoring and optimization of networks; emerging network technologies.

Healthcare privacy and security threats and solutions. Compliance with patient information privacy and information security regulations.

Overview of telecommunication technologies as they apply to healthcare delivery, healthcare administration, and health information exchange.

Overview of health information technology, electronic health records (EHR) , and health information exchange (HIE), current practices, trends, and issues in health information systems management, and privacy and security of health information.

Professional internship in information technology. Positions assigned on an individual basis with emphasis on management decision making, oral and written communication skills, planning, and problem solving.

Integration of information technology across the business spectrum. Underlying technological developments and important business drivers of performance. Digital technology’s role in relation to three major components of business performance improvement: people, processes and technology.

This course applies the principles of information systems analysis and dsign to health processes and applications. It looks at the analysis and logical design of business processes and management information systems focusing on the systems development life cycle; and techniques for logical system design.

Application of the principles of information systems analysis and design to organizational processes and applications. Analysis and logical design of business processes and management information systems focusing on the systems development life cycle. Techniques for logical system design.

Overview of programming logic and design with a focus on essential programming concepts and skills needed for data analysis.

Information Technology (IT) elements of the cyberinfrastructure; information assurance and security in the modern cyberinfrastructure; design and secure advanced systems that use, process, transmit, and store of information.

Techniques, technologies, and management tools used in modern cyberinfrastructures, including software-defined data centers, next-generation software-defined networking (NG-SDN), and cloud systems.

Overview of the analysis, design, and usability of health information systems. Includes consideration of computer interfaces, Web portals, and patient portals.

Application of project management software, technologies and practices to the design and implementation of real-world health information technology projects. Integrates IT knowledge and skills learned in earlier graduate courses and challenges graduate students to learn new technologies and to solve real business problems.

Overview of the analysis, design, and usability of information systems. Includes consideration of computer interfaces, web portals, and human-computer interaction.

Application of project management tools to document key components of the implementation of a real-world information technology projects.

This course is an introduction to design, implementation, and management of database systems that form the foundation for health information systems.

Fundamentals, design, implementation and management of database systems that form the foundation for information systems and data analytics.

Design, implementation and operation of large-scale information systems for healthcare institutions. Includes EMRs, CPOE, e-prescribing, medication administration, CRM, and supply chain management.

Implementation of electronic health records (EHR) and health information exchange with focus on clinical transformation, which is the most difficult and critical component of achieving improved clinical outcomes and efficiencies from EHRs.

Application of effective teaching techniques and organization of instructional settings for middle or high school students.

Fundamental concepts in artificial intelligence, including intelligent agents, problem solving by searching, logic-based knowledge representation and inference, planning, and probabilistic reasoning. Basic techniques for building intelligent computer systems and applications to problems.

Artificial Intelligence concepts including algorithmic decision making. Machine learning techniques such as learning from examples, learning probabilistic models, and reinforcement learning. Applications of AI technologies, e.g. natural language processing, robotics, and perception.

Mathematical and software tools and quantitative reasoning to the analysis of enterprise data. Fundamental concepts and essential skills in data analytics. Critical and creative thinking about quantitative and qualitative problems involving enterprise data.

Advanced concepts, issues, and trends in data analytics. Critical thinking and quantitative and qualitative analytical skills essential for Healthcare, Engineering, and Business among many others.

Software tools in data analytics. Advanced analytics techniques. Case studies and problem sets from multiple enterprise domains.

Advanced concepts, issues, and trends in information technology. Course content varies and will be announced in the schedule of classes by title. May be repeated twice for credit.

Overview of information security exploring basic concepts and developing knowledge and skills of protecting valuable information assets and systems.

Technical and managerial aspects of IT security operations. Securing the cyberinfrastructure, detecting and mitigating intrusion, monitoring and managing computing systems.

Risk assessments, risk mitigation strategies, security risks, controls and services, development and implementation of security policies, threat and vulnerability, risk management program.

Independent study in association with a directing instructor on a topic not covered in standard classes. Contract approved by instructor, advisor, and graduate program director.

Thesis Preparation as part of an ITEC masters degree. Students will work under the direction of a major advisor who is a member of the Graduate Faculty.

Dissertation preparation.