Courses

This course explores the integration of artificial intelligence (AI) and machine learning (ML) into modern industrial robotics and automation systems. Focusing on practical applications within the industry 4.0 paradigm, students will study robot kinematics, smart sensing, programmable logic controllers (PLCs), machine vision, collaborative robotics (cobots), and AI-driven control and communication frameworks through simulations, hardware labs, and project-based learning.

This course explores the transformative potential of Generative Artificial Intelligence (GenAI) in education, equipping learners with the skills to critically assess and apply AI tools to address real-world challenges. Through hands-on practice, learners will develop prompt engineering techniques, create AI-powered instructional solutions, and address key issues such as equity, ethics, and accessibility.

This course introduces students to artificial intelligence in investment management. Students apply tools such as natural language processing, forecasting, and workflow automation to analyze financial data, evaluate corporate performance, and manage a real-money portfolio, with emphasis on ethical evaluation and strategic decision- making in asset management and fintech.

This course provides an in-depth introduction to artificial intelligence (AI) in interactive simulation and game development, focusing on practical implementation using Unreal Engine 5's Blueprint system. Students will explore core AI concepts, historical developments, and hands-on techniques to create intelligent interactive simulation system and game behaviors. The curriculum includes interactive activities, mini projects for each module, and a collaborative team project spanning the semester.

This course provides an in-depth introduction to artificial intelligence (AI) in interactive simulation and game development, focusing on practical implementation using Unreal Engine 5's Blueprint system. Students will explore core AI concepts, historical developments, and hands-on techniques to create intelligent interactive simulation system and game behaviors. The curriculum includes interactive activities, mini projects for each module, and a collaborative team project spanning the semester.

This course is an introduction to a traditional Japanese martial art based on blending with and redirecting an attacker’s energy, utilizing wrist locking, throwing, and immobilization techniques. Falling, rolling, stretching, and relaxation exercises, as well as history and philosophy are included. Students will gain self-defense skills, mental focus, and self- confidence.

This course introduces students from all majors to the foundational principles, capabilities, limitations, and implications of artificial intelligence. Through hands-on tool use, case studies, and real-world media, students will develop critical fluency in AI systems that impact society and everyday life.

An advanced course in machine learning and artificial intelligence, with a focus on building and deploying models using Python and TensorFlow. Topics include linear and nonlinear models, neural networks, CNNs, RNNS, unsupervised learning, and reinforcement learning. Emphasis is placed on practical implementation, intuition, and real-world applications in domains such as healthcare and natural language processing.

This course explores the foundation of artificial intelligence and procedural generation in digital content creation. Students will examine AI-assisted workflows and algorithmic techniques to generate visuals, sound, and interactive assets. The course introduces both technical methods and conceptual discussions, focusing on how these technologies can enhance creativity, automate design processes, and open new artistic possibilities through hands-on individual experiment.

Using Agile PM techniques to deploy AI projects, whether operational or as products, to assure targeted results and flexibility to meet new demands or constraints. A focus will be on providing AI tools to nontechnical employees and organizational stakeholders. Will use low-code/and no-code environments as exercises to manage and complete projects while rapidly deploying prototypes and applications for business users.