CS 473 - AI Principles and Techniques

5 CR

This course explores the field of Artificial Intelligence (AI) with an emphasis on its applications and principles in the computer science field. Students will learn about the theoretical foundations and practical implementations of AI techniques, algorithms, and technologies.

Prerequisite(s): CS 300 with C or a better grade

Course Outcomes

Explain the core principles behind fundamental AI methodologies.
Apply Bayesian Networks and Probabilistic Reasoning to solve complex, real-world problems, showcasing proficiency in decision-making under uncertainty.
Design AI systems or models utilizing Machine Learning algorithms to creatively address complex problems, integrating concepts from various AI methodologies.
Implement AI solutions within specific development environments using appropriate tools and techniques, demonstrating practical application skills in AI development.
Apply AI methodologies across various domains and applications to facilitate analysis and problem-solving in diverse contexts.
Apply industry-standard practices for scaling AI solutions
Evaluate ethical considerations associated with the deployment of AI systems across various domains.

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