Introduction to Artificial Intelligence is the entry point to UMGC's AI program — basic principles and terminology to support informed decision-making and collaboration with technical teams.
What ARIN 310 covers
A comprehensive introduction to the basic principles and terminology of the field of artificial intelligence (AI). The aim is to use a solid understanding of AI concepts to facilitate informed decision-making and collaboration with technical teams.
Topics include various subfields of AI, such as machine learning, natural language processing, and computer vision, as well as real-world applications of AI in areas such as recommender engines, supply chains, fraud detection, and customer service.
Typical ARIN 310 assignments
Expect an assignment requiring you to explain a specific AI subfield or application (recommender engines, fraud detection) and its real-world business value.
Key topics in ARIN 310
- AI subfields (ML, NLP, computer vision)
- AI terminology and principles
- Real-world AI applications
- Informed AI decision-making
Writing tips for ARIN 310
Follow the assignment instructions and rubric line by line
UMGC assignments for ARIN 310 are graded against a specific rubric or grading criteria your instructor provides — every requirement has to be visibly addressed. Skipping a requirement because it seems minor is one of the most common reasons a strong submission loses points.
Ground AI concepts in a specific, real application
Artificial Intelligence courses like ARIN 310 rarely reward describing AI capabilities in the abstract — evaluators want to see a specific application, dataset, or business problem the AI concept is actually being applied to, with the reasoning shown.
Address ethics, bias, or regulation explicitly where relevant
Both the AI and drone tracks at UMGC consistently grade whether ethical, bias, privacy, or regulatory considerations are addressed explicitly — a technically sound solution that ignores these dimensions is one of the most common ways students lose points.
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Why students seek help with ARIN 310
Students sometimes describe AI concepts generically without connecting them to a specific real-world application the course covers — the rubric typically wants that applied connection shown, not terminology alone.
How GradeEssays helps with ARIN 310
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ARIN 310 has no prerequisites.
Related courses
Frequently asked questions
No, ARIN 310 has no prerequisites — it is the comprehensive introductory course for UMGC's AI program.
No specific background is required — the course focuses on foundational AI concepts and terminology to support informed decision-making, not hands-on technical implementation.