Introduction to Computing
Earn college credit with Introduction to Computing—a self-paced online course covering computational thinking, core programming concepts, data representation, and problem-solving skills used across tech careers. Complete short lessons, quizzes, and assignments on your schedule, then finish with a proctored final exam. Ideal for general education or CS foundations, with transcript options.
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Upon the successful completion of this course, students will be able to: apply the functionalities of application software by performing practical tasks and then critically assess the features and limitations of word processing, presentation tools, databases, and multimedia applications; identify and describe key components of systems software, such as operating systems and security protocols, before systematically evaluating and comparing different systems; design and optimize hardware systems by integrating and troubleshooting components, and critically evaluate their performance and interdependencies to propose innovations that enhance system efficiency; critically assess the historical evolution of computers and their economic impact, and synthesize a forward-looking analysis of future social, privacy, and economic implications of emerging technologies; create innovative solutions for network and data communication challenges using case studies; and critically evaluate evolving software development methodologies to propose improvements for next-generation network systems.
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Learning Outcomes
Upon the successful completion of this course, students will be able to: apply the functionalities of application software by performing practical tasks and then critically assess the features and limitations of word processing, presentation tools, databases, and multimedia applications; identify and describe key components of systems software, such as operating systems and security protocols, before systematically evaluating and comparing different systems; design and optimize hardware systems by integrating and troubleshooting components, and critically evaluate their performance and interdependencies to propose innovations that enhance system efficiency; critically assess the historical evolution of computers and their economic impact, and synthesize a forward-looking analysis of future social, privacy, and economic implications of emerging technologies; create innovative solutions for network and data communication challenges using case studies; and critically evaluate evolving software development methodologies to propose improvements for next-generation network systems.
Major Course Topics
Major topics include application software; systems software; computer systems from binary representation to data storage and reliability; social impacts and history of computing; data communications; navigating the world wide web; networks access and architecture; software development fundamentals; and programming methodology.


