IT-100 provides a broad entry-level survey of the information technology field, covering computer hardware, software applications, networking, cybersecurity basics, web publishing, digital media, file and database management, information security, and algorithmic thinking. The course requires no prior IT background, functioning as the genuine on-ramp into SNHU's IT curriculum.
Breadth before depth in IT education
The course deliberately surveys a wide range of IT topics — hardware, networking, security, web publishing — rather than going deep on any single area, giving students a genuine map of the IT field before committing to a specialized track.
Algorithmic thinking as an early foundational skill
IT-100 introduces algorithmic thinking specifically at the entry level, ensuring students begin developing this fundamental problem-solving orientation before encountering the scripting and programming courses (IT-140, IT-145) that build directly on it.
Key topics in IT100
- Computer hardware fundamentals
- Software applications
- Networking basics
- Cybersecurity fundamentals
- Web publishing and digital media
- Algorithmic thinking
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Worked example: breadth as a genuine foundation for choice
- Narrow-start approach: Committing to a specialized IT track (networking, programming, security) before understanding the field's full breadth
- IT-100's approach: Surveying hardware, networking, security, and programming concepts broadly before specialization begins
- Lesson: IT-100 teaches that this broad foundation helps students make a genuinely informed choice about which IT specialization to pursue next
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Frequently asked questions
Students entering an IT program often don't yet know which specialization — networking, programming, cybersecurity, or another track — genuinely fits their interests and strengths, and a broad survey course lets them encounter each area's basics before committing to deeper study. IT-100's wide-angle approach ensures students make their specialization choices based on genuine exposure to the field's range, not guesswork.
Algorithmic thinking — breaking a problem into clear, ordered logical steps — is the conceptual foundation that scripting and programming courses build directly on top of, and students who encounter this thinking pattern early are better prepared when they reach the more technical, syntax-heavy coursework in IT-140 and IT-145. IT-100 introduces it early because starting programming instruction without this foundational thinking pattern already in place would make the technical material significantly harder to grasp.