18 courses with the subject ITE, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
Lecture hours per week: 3 Covers the fundamentals of computers and computing and topics which include impact of computers on society, ethical issues, and terminology. This course provides discussion about available hardware and software as well as their application.
Lecture hours per week: 2 Examines concepts and terminology related to microcomputers and introduces specific uses of microcomputers.
Lecture hours per week: 1 Introduces terminology, concepts and methods of using computers in information systems. This course teaches computer literacy, not intended for Information Technology majors.
Lecture hours per week: 2 Career paths in Information Technology will be explored to help the student determine the appropriate degree plan. Career paths will include but not be limited to software development, computer science, database, networking, system administration and operations, end user support, web design, and management. The student will learn ethical concerns in business and information technology including the ACM Code of Ethics.
Lecture hours per week: 3 Covers computer concepts and internet skills and uses a software suite which includes word processing, spreadsheet, database, and presentation software to demonstrate skill. Recommend
Lecture hours per week: 3 Presents the information literacy core competencies focusing on the use of information technology skills. Skills and knowledge will be developed in database searching, computer applications, information security and privacy, and intellectual property issues.
Lecture hours per week: 3 Provides an overview of the fundamentals of computer information systems. Focuses on the role of computers in business today including hardware, software, analysis, design and implementation of information systems. Includes an introduction to computer ethics, and business and personal security. Exposes students to techniques used in programming and system development. Utilizes a hands-on component for spreadsheets, databases, and web design applications.
Lecture hours per week: 3 Laboratory hours per week: 0 Provides instruction in the basics of artificial intelligence (AI) including the complexities of AI, machine and deep learning, and neural networks. Provides students with a clear understanding of history, terminology, concepts, and mechanisms driving AI technologies. Explores how AI is applied in various occupational fields through a blend of theoretical knowledge and case studies.
Lecture hours per week: 3 Covers the use of spreadsheet software to create spreadsheets with formatted cells and cell ranges, control pages multiple sheets, charts, and macros. Topics include type and edit text in a cell, enter data on multiple worksheets work with formulas and functions, create charts, pivot tables, and styles, insert headers and footers, and filter data. Covers MOS Excel objectives.
Lecture hours per week: 3 Laboratory hours per week: 0 Explores the applications of artificial intelligence (AI) tools in business. Studies how AI can enhance efficiency, optimize decision-making, and drive innovation in business environments. Includes hands-on projects using AI tools and platforms.
Lecture hours per week: 3 Laboratory hours per week: 0 Develops understanding of digital and information literacy. Introduces basic computer concepts in hardware, software, cyber, cloud, database, and operating systems. Includes hands-on experience developing word processing, spreadsheet and presentation documents. Evaluates the reliability of sources. Covers creating a simple web page. Examines topics such as social, legal, and ethical issues. This is a Passport and UCGS transfer course.
Lecture hours per week: 3 Laboratory hours per week: 0 Explores ethical considerations surrounding the development, deployment, and use of artificial intelligence (AI) technologies. Examines ethical theories, privacy concerns, biases, human rights implications, transparency challenges, governance frameworks and anticipated ethical issues emerging with advancing AI capabilities. Utilizes case studies to introduce students to ethically responsible practices and strategies for addressing ethical dilemmas in the rapidly evolving field of AI.
Lecture hours per week: 3 Explores technical fundamentals of creating multimedia projects with related hardware and software. Students will learn to manage resources required for multimedia production and evaluation and techniques for selection of graphics and multimedia software.
Lecture hours per week: 3 Laboratory hours per week: 0 This course focuses on applied data analytics using artificial intelligence tools and Microsoft applications. Students will learn to collect, analyze, and interpret data through hands-on projects that integrate AI-driven insights with Excel and other Microsoft tools. Emphasis is placed on practical applications, including predictive analytics, data visualization, and decision-making strategies to prepare students for data-driven roles in business and industry.
Lecture hours per week: 3 Laboratory hours per week: 0 Develops applied skills in implementing artificial intelligence (AI) solutions across diverse business functions through practical, hands-on experience with cutting-edge AI business applications. Emphasizes use of generative AI tools, strategic implementation, organizational transformation, and business innovation. Integrates technical understanding with business strategy, allowing students from both business and IT backgrounds to collaborate effectively on real-world scenarios through practical projects and case studies.
Lecture hours per week: 3 Refines multimedia skills, focusing on project development using digital media; video clips, still images, and audio (sounds, music, and narration).
Lecture hours per week: 1 Laboratory hours per week: 0 Supervises on-the-job training in selected business, industrial or service firms coordinated by the college. Credit/practice ratio not to exceed 1:5 hours. May be repeated for credit. Variable hours. 1 credit
Lecture hours per week: 1 Laboratory hours per week: 0 Requires completion of a project or research report related to the student’s occupational objectives and a study of approaches to the selection and pursuit of career opportunities in the field. May be repeated for credit. Variable hours. 1 credit
Source: Southwest Virginia Community College's catalog, linked per course · table learning_unit · CourseShelf publish 59
