ARTIFICIAL INTELLIGENCE (AI) PARADIGMS TO PRACTICE

Prerequisites & course information

Requisites: Declared in the Capstone Certificate in Computer Sciences Kickstart Program for Professionals Course Designation: L&S Credit - L&S Liberal Arts and Science Repeatable for Credit: No Learning Outcomes: 1. Demonstrate a strong understanding of functions, including core principles of functional programming. Audience: Undergraduate 2. Apply classic functional programming techniques (e.g., map, fold, filter) to effectively solve computational problems. Audience: Undergraduate 3. Analyze code statically to determine its behavior, output, and broader implications without executing it. Audience: Undergraduate 4. Apply structured natural language programming techniques when working with AI coding assistants. Audience: Undergraduate 5. Design, develop, and manage tools that support AI-assisted programming workflows. Audience: Undergraduate 6. Create and operate a dynamic development environment for effective interaction with generative AI models. Audience: Undergraduate Learning Outcomes: 1. Demonstrate a strong understanding of functions, including core principles of functional programming. Audience: Undergraduate 2. Apply classic functional programming techniques (e.g., map, fold, filter) to effectively solve computational problems. Audience: Undergraduate 3. Analyze code statically to determine its behavior, output, and broader implications without executing it. Audience: Undergraduate 4. Apply structured natural language programming techniques when working with AI coding assistants. Audience: Undergraduate 5. Design, develop, and manage tools that support AI-assisted programming workflows. Audience: Undergraduate 6. Create and operate a dynamic development environment for effective interaction with generative AI models. Audience: Undergraduate