CIS 102 - AI: Artificial Intelligence Fundamentals

Credit Hours 3
Lecture: 3 Lab: 0
Welcome to the Artificial Intelligence Fundamentals course! Our goal is to familiarize you with foundational AI concepts. Throughout the course, we’ll explore different AI types, methods for finding connections and making predictions, and how humans interact with AI systems. Students enrolled in this course receive an introduction to AI foundations using cutting-edge cloud-based platforms. You’ll learn to define artificial intelligence, differentiate it from augmented intelligence, and explore the three levels of AI. Additionally, we’ll cover the history of AI, its current state, and potential future developments. In this course, we’ll delve into machine learning, examining methods for processing structured, unstructured, and semi-structured data, as well as machine learning’s problem-solving capabilities.

Students will explore advanced tools and technologies to develop, deploy, and manage AI models and applications. Key topics include machine learning, natural language processing, and data analytics. Through hands-on projects and real-world case studies, participants will gain practical experience in building intelligent systems capable of analyzing large datasets, understanding human language, and making informed decisions. By the course’s conclusion, you’ll be able to articulate the three primary data analysis methods used in machine learning and understand the optimal interaction between humans and AI systems. This comprehensive overview equips you with fundamental AI knowledge and practical applications.
Is course repeatable for credit? No
Variable Hour Exist No
Is this an International Course? No
Semesters Offered Fall, Spring, Summer