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  • ARNTL-1003 Introduction to AI (3 Credits)

    This course is designed for beginners and provides a foundational overview of Artificial Intelligence (AI). The course focuses on AI's development, its practical applications, and its societal implications. Students will learn about concepts including algorithms, machine learning, and neural networks.
    Requisites:
    None
    Locations:
    Offered:
    On Demand

  • ARNTL-1123 Intro to Data Science (3 Credits)

    This course provides an introduction to the field of Data Science, offering students a comprehensive overview of the principles, techniques, and tools used to analyze, visualize, and interpret complex data. Students will learn the foundational concepts of data collection, cleaning, and processing, along with statistical analysis and machine learning algorithms essential for extracting meaningful insights from data. Prerequisites: Basic knowledge of statistics and COMSC 1033.
    Requisites:
    COMSC-1033 - Must be completed prior to taking this course.
    None
    Locations:
    Offered:
    On Demand

  • ARNTL-3033 Recent Trends in AI (3 Credits)

    This course explores the latest advancements and emerging trends in the field of artificial intelligence (AI). Students will gain insights into cutting-edge AI technologies, research breakthroughs, and innovative applications across various industries. The course emphasizes practical knowledge, critical analysis, and hands-on experience with the most current AI tools and tecniques. Prerequisite: ARNTL-1003
    Requisites:
    ARNTL-1003 - Must be completed prior to taking this course.
    None
    Locations:
    Offered:
    On Demand

  • ARNTL-3133 AI Ethics (3 Credits)

    This course provides a comprehensive overview of the ethical, social, and legal implications of artificial intelligence (AI). Students will engage with theoretical frameworks and case studies to critically examine the challenges and responsibilities associated with AI development and deployment. Prerequisites: ARNTL 1003 and COMSC 2023.
    Requisites:
    ARNTL-1003 - Must be completed prior to taking this course.
    COMSC-2023 - Must be completed prior to taking this course.
    None
    Locations:
    Offered:
    On Demand

  • ARNTL-3233 AI / Human Interaction (3 Credits)

    This course explores the dynamic interplay between artificial intelligence (AI) and human interaction, focusing on the design, implementation, and impact of AI systems that interact with humans. Students will examine the principles of human-centered AI, user experience (UX) design, ethical considerations, and the societal impacts of AI systems that are integrated into daily life. Through theoretical studies and practical projects, students will learn to create AI systems that enhance human capabilities and improve user experiences. Prerequisite: ARNTL 1003.
    Requisites:
    ARNTL-1003 - Must be completed prior to taking this course.
    None
    Locations:
    Offered:
    On Demand
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