Course

10156105 AI Fundamentals
Course Information
Description
Provides a basic survey of the importance of AI in the IT industry. This course will discuss broad aspects of AI including types, code generation, and how to validate the results from AI. The course will also present best practices for appropriate and responsible use of AI.
Total Credits
1
Course Outcomes
  1. Explain the history, evolution, and foundational concepts of Artificial Intelligence (AI)
    Assessment Strategies
    Written Product
    Criteria
    Outline current foundational concepts in AI
    Identify significant events, advancements, and/or figures in AI history
    Describe the impact and relevance of at least one AI significant event
    Trace the history and evolution of AI in relationship to information technology

  2. Explore machine learning principles, data practices, and large language models (LLMs)
    Assessment Strategies
    Diagram, Written Product
    Criteria
    Describe the role of LMMs in processing and generating human language
    Neural network diagram is effectively structured and labeled
    Analyze data collection or mismanagement in AI
    Design prompts to interact with an LLM

  3. Evaluate ethical considerations and implications of AI systems
    Assessment Strategies
    Case Study, Discussion Forum
    Criteria
    Describe ethical challenges related to AI, such as bias, privacy considerations, and transparency
    Propose strategies to mitigate biases and other ethical concerns

  4. Explore future concepts and emerging technologies in AI
    Assessment Strategies
    Discussion Forum, Project, Reflection
    Criteria
    Identify at least one emerging application or trend related to AI
    Evaluate the costs and benefits of emerging AI technologies
    Describe future applications and opportunities for AI