Computer Science & Software courses

This course prepares students to design, build, and deploy advanced agentic AI systems by combining core theory with hands-on implementation. Students will work with three leading frameworks: CrewAI, Google ADK, and n8n, while learning the principles that…

Lecture, four hours; laboratory, two hours; outside study, six hours. Prerequisite: course 180. Introduction to fundamental problem-solving and knowledge representation paradigms of artificial intelligence. Introduction to Lisp with regular programming…

This course provides a comprehensive introduction to generative AI, combining theoretical foundations with hands-on practice. Students will explore the historical evolution of generative models, beginning with early statistical methods and advancing through…

This hands-on course introduces students to the design and development of Retrieval-Augmented Generation (RAG) systems, powerful architectures that combine large language models (LLMs) with external knowledge sources to improve accuracy, reduce…

This course explores the theoretical concepts, design principles, and practical applications of large language models (LLMs). Students will gain a deep understanding of how LLMs process and generate human language, with a focus on both conceptual…

Explore the dynamic intersection of artificial intelligence and cybersecurity in this hands-on, six-week course. Designed for students with basic general knowledge of cybersecurity concepts, this course examines how AI is reshaping the cybersecurity…

This course provides a comprehensive foundation in building trustworthy machine learning systems, with emphasis on generative AI applications. Students will develop both theoretical understanding and practical implementation skills across key areas: model…

This course provides an in-depth exploration of machine learning systems design, covering the complete lifecycle from project scoping and data acquisition to model deployment and monitoring. We connect theoretical foundations with practical application,…

Dive into concepts and techniques of computer vision and deep learning. Students will develop proficiency in Python programming, with special emphasis on image processing, feature extraction, and neural network architectures designed for visual data. The…

AI is rapidly advancing beyond simple prompts and chatbot interactions, transforming how organizations build intelligent tools and automate complex workflows. In this session, Steve Anderson will break down four foundational concepts driving today’s most…

Navigate the world of AI responsibly and with confidence. This is an essential topic on understanding the risks and ethical implications of artificial intelligence technologies. Designed for non-coders, this course is the perfect gateway to a career shift…

As AI tools reshape how students create, research, and solve problems, traditional grading models are becoming less meaningful. This course explores practical alternatives including portfolio-based assessment, process documentation, narrative feedback, and…

Navigate the world of AI responsibly and with confidence. This is an essential topic on understanding the risks and ethical implications of artificial intelligence technologies. Designed for non-coders, this course is the perfect gateway to a career shift…

Artificial intelligence is transforming the way we design technologies, work, communicate, learn, and make decisions. As AI becomes integrated into the tools and services we use every day, understanding how intelligent technologies shape human thinking,…

Build and deploy six AI applications in six weeks: a semantic image search engine, a benchmarked visual question‑answering app, a real‑time voice agent, a document Q&A system with cited answers over real PDFs, a cross‑modal generative studio, and a capstone…