Foundations of Artificial Intelligence in Business
MIST 7400E
3 hours
Foundations of Artificial Intelligence in Business
Course Description
This 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, considerations of AI, and AI data analysis.
Athena Title
AI in Business
Non-Traditional Format
This course will be taught 95% or more online.
Prerequisite
Permission of department
Semester Course Offered
Offered fall
Grading System
A - F (Traditional)
Student learning Outcomes
Students will explain the history and objectives of the AI and it subfields.
Students will identify current uses of AI technologies in business and discuss their benefits and potential risks.
Students will analyze business cases and AI use for financial and competitive purposes.
Students will use common AI-based tools effectively, including writing or modifying code to control them.
Topical Outline
Foundations of AI - history, concepts, and terminology.
AI subfields - ML, DL, NLP, CV, and symbolic AI.
Large Language Models & Generative AI.
HandsOn AI Tools & Light Technical Foundations.
Building Simple AI Pipelines (data —> model —> evaluation).
Human AI Interaction & Evaluation (prompting, accuracy, bias).
Ethics, Governance, and Responsible AI.
AI in Decision Making, and Organizational Strategy.
