EM 425 Artificial Intelligence for Emergency Management (5 credits)
Prerequisite Current enrollment in the Bachelor of Applied Science in Emergency Management or Certificate in Emergency Management Technology programs.
Course Description
Intro to AI principles and applications in emergency management (EM). Emphasizing realtime data integration, pattern recognition, and human-AI collaboration to improve decisionmaking, community engagement, and efficiency across all phases of EM.
Course Content
1. AI Fundamentals for Emergency Management Contexts
2. AI-Driven Data Fusion and Pattern Recognition
3. Human-AI Collaboration in Crisis Decision-Making
4. AI Applications for Community Engagement and Equity
5. AI Deployment in Complex Emergency Management Scenarios
Student Outcomes
1. Analyze key AI concepts and their applications in emergency management.
2. Assess the ethical implications of AI use in emergency management programs, including bias, equity, and resource use.
3. Evaluate AI tools to analyze risk and support crisis communication strategies.
4. Design innovative, responsible AI-informed interventions that reflect community needs and values.
5. Synthesize solution strategies by defining a problem, establishing success criteria, and determining whether AI or non‑AI methods best meet operational and stakeholder needs
Degree Outcomes
Program Outcomes:
1. Evaluate disaster risk in communities and organizations using current scientific, geographic, sociocultural, and technological knowledge, systems, and equipment.
2. Apply effective multi-modal communication, critical thinking, and decision-making skills to emergency management environments.
Core Abilities:
Information Literacy: Graduates will be critical users, creators, and disseminators of information by examining how information is created, valued, and influenced by power and privilege.
Lecture Contact Hours 50
Lab Contact Hours 0
Clinical Contact Hours 0
Total Contact Hours 50
Potential Methods
1. Discussion boards
2. Exams/quizzes
3. Group projects
4. Individual Projects
5. Written papers
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