Course Description

Course introduces artificial intelligence (AI) as a human endeavor and provides both conceptional and technical groundwork for subsequent courses. The course has a shared focus on AI business cases, AI development and use, ethical considerations of AI and AI data analysis.

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Athena Title

Foundations of AI in Business

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Equivalent Courses

Not open to students with credit in MIST 5400E

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Prerequisite

MIST 2090 or MIST 2090E or MIST 2090H

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Grading System

A - F (Traditional)

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Student learning Outcomes

• Students will be able to explain the history and objectives of the AI and its subfields.
• Students will be able to identify current uses of AI technologies in business and discuss their benefits and potential risks.
• Students will be able to analyze business cases of AI use for financial, ethical and competitive purposes.
• Students will be able to use common AI-based tools effectively, including writing or modifying code to control them.

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Topical Outline

• Introduction to AI
• Current Uses of AI in Business
• Business Case Analysis
• Business Case Analysis
• AI Code
• AI Ethics
• LLM

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Institutional Competencies Learning Outcomes

Analytical Thinking

The ability to reason, interpret, analyze, and solve problems from a wide array of authentic contexts.

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Syllabus

Select Faculty / Instructor to download syllabus:   Miller, Andrew   Yu, Peiyan

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Public CV

Select a file to download:   MIST5400_Pearl_CV.pdf

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