A survey of social and cultural principles inherent in ethnographic descriptions. The objective is to apply anthropological knowledge of human behavior to everyday situations and problems. Students who complete both ANTH 101 and ANTH 102 may not receive credit for ANTH 340, BEHS 340, or BEHS 341.

(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft. Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines. Students may receive credit for only one of the following courses: ARIN 320 or CMSC 307.

(Not open to students majoring in biotechnology or laboratory management or to students who have completed BIOL 101 or BIOL 102. Fulfills the laboratory science requirement.) An introduction to the structure and function of living organisms. The aim is to apply the scientific method and use scientific and quantitative reasoning to make informed decisions about experimental results in the biological sciences. Topics include the chemical foundations of life, cell biology, genetics, evolution, ecosystems, and the interdependence of living organisms. Discussion also covers the importance of the scientific method to biological inquiry and the impact of biological knowledge and technology on human societies. Laboratory activities emphasize the scientific method. Students may receive credit for only one of the following: BIOL 101 - BIOL 102 or BIOL 103.

An interdisciplinary introduction to data analysis, cybersecurity, and artificial intelligence (AI) in business operations and decision-making. The goal is to collect, process and analyze business data, identify cybersecurity threats, and explore AI fundamentals for business applications. Topics include data processing techniques, cybersecurity risk analysis, and practical AI tools.

(Formerly IFSM 201) (Access to a standard office productivity package, i.e., word processing, spreadsheet, database, and presentation software, required.) An introduction to data and the range of technologies (including hardware, software, databases, and networking and information systems) that provide the foundation for the data-centric focus of modern organizations. The objective is to apply knowledge of basic technical, ethical, and security considerations to select and use information technology (and the data that arises from technology) effectively in one's personal and professional lives. Discussion covers issues related to technology as a vehicle for collecting, storing, and sharing data and information, including privacy, ethics, security, and social impact. Applied exercises focus on the manipulation, analysis, and visualization of data and effective data communication strategies. Students may receive credit for only one of the following courses: BMGT 301, CAPP 101, CAPP 300, CMST 300, CIFS 200, IFSM 201, TMGT 201, or CIFS 200.

(Designed to help prepare for the CompTIA A+ exams.) A thorough review of computer hardware and software, with emphasis on the application of current and appropriate computing safety and environmental practices. The goal is to evaluate, install, configure, maintain, and troubleshoot computer hardware components and operating systems.

(Designed to help prepare for the CompTIA Network+ certification exam.) An introduction to networking technologies for local area networks, wide area networks, and wireless networks. The aim is to recognize the type of network design appropriate for a given scenario. Topics include the OSI (open system interconnection) model, security, and networking protocols. Students may receive credit for only one of the following courses: CMIT 265 or CMIT 265M.

(Designed to help prepare for the CompTIA Security+ exam.) Prerequisite: CMIT 265 or CompTIA Network+ certification. A study of the fundamental concepts of computer security and its implementation. The aim is to assess and mitigate risk, evaluate, and select appropriate technologies, and apply proper security safeguards.

Prerequisite: CMSC 115 (or CMIS 141). An applied study of object-oriented programming in Java. The goal is to develop modular, reusable, and scalable software using classes, records, inheritance, interfaces, and generic types. Hands-on exercises and projects reinforce OOP concepts. Key topics include object-oriented design principles, Unified Modeling Language (UML), polymorphism, type-safe generic programming, exception handling, and secure coding practices. Students may receive credit for only one of the following courses: CMSC 215 or CMIS 242.

A hands-on introduction to the principles of cyberspace operations that support defensive and offensive processes. The objective is to navigate, integrate, and use popular cybersecurity tools and functions in a safe environment to detect and reduce system threats and vulnerabilities. Topics include strategic and tactical planning and guidance, security objectives for information systems, cybersecurity frameworks, security design principles, vulnerabilities and exploits, network and application security techniques, and automated tools for testing and security assessment.

An introduction to data and data literacy for students of all majors to enhance their ability to understand and work in today's data-driven world. The aim is to collect, manage, evaluate and apply data in a critical manner and examine the role, significance, and implications of data, including ethical issues within a society, in organizations, or for individuals. Developing skills in data manipulation, analysis, and visualization, students will generate insights from data, build knowledge, and make decisions. Topics include the effective use of cloud-based data storage, collaboration and communication techniques.

An analysis of the economic principles underlying the behavior of individual consumers and business firms. The goal is to apply select microeconomic theories to real-world situations. Emphasis is on market theory. Topics include the implications of government intervention, technological innovation, the advantages and disadvantages of different market structures, and income distribution and poverty.

(The first course in the two-course series MATH 107-MATH 108. An alternative to MATH 115). An introduction to equations and inequalities and a study of functions and their properties, including the development of graphing skills with polynomial, rational, exponential, and logarithmic functions. The objective is to apply appropriate technology and demonstrate fluency in the language of algebra; communicate mathematical ideas; perform operations on real numbers, complex numbers, and functions; solve equations and inequalities; analyze and graph circles and functions; and use mathematical modeling to translate, solve, and interpret applied problems. Technology is used for data modeling. Discussion also covers applications. Students may receive credit for only one of the following courses: MATH 107 or MATH 115.