CSC 1120 Introduction to Generative AI

Introductory course on generative AI tools and applications for students and current workforce professionals upgrading skills in IT and business. Covers LLMs, multimodal generation, prompt engineering, AI agents, data-driven use cases, and responsible AI practices through hands-on activities, applied problem-solving, and a course project.

Division: Business and Public Services
Department: Computer Science
Repeatable Credit: No
Offered Online: No

Prereqs: NONE  

Outcomes

  • Explain key concepts and tools used in applied AI for business, including terminology, historical context, data, machine learning, and automation like using agents to speed up processes.
  • Apply generative AI tools to real business and IT use cases by creating prompts, building small AI-assisted workflows, and developing an end-of-course capstone project that demonstrates practical problem-solving with text, image, or multimodal AI systems.
  • Demonstrate the ability to evaluate and apply ethical, legal, and responsible AI principles in the use and development of generative AI systems, including understanding data privacy, intellectual property, bias mitigation, transparency, accountability, and the societal impacts of AI. Analyze real-world scenarios to ensure that generative AI tools are applied responsibly and align with professional and institutional ethical standards.

Credit Hours: 3

Classroom Hours: 3