COURSE CURRICULUM

The post-baccalaureate diploma in AI and Machine Learning at UFV offers a comprehensive curriculum designed to equip students with the essential knowledge and skills needed in the rapidly growing field of artificial intelligence. The program includes foundational courses such as Systems Hardware Concepts (CIS 190) and Introduction to Networking (CIS 192), providing a solid understanding of computing infrastructure. Core computer science courses like Introduction to Programming (COMP 150), Object-Oriented Programming (COMP 155), and Data Structures and Algorithms (COMP 251) build strong programming skills essential for AI development. The curriculum further delves into specialized topics including Introduction to Artificial Intelligence (COMP 380), Introduction to Machine Learning (COMP 381), and Introduction to Robotics (COMP 361), ensuring practical and theoretical understanding of AI applications. Additional courses like Databases and Database Management Systems (COMP 230) and Advanced Database Topics (COMP 430) emphasize the importance of managing and analyzing large data sets. Students also learn project management skills (CIS 385) and the mathematical foundations necessary for AI, including Introduction to Discrete Mathematics (MATH 125) and Statistics I (STAT 106). Overall, this program offers a well-rounded education that prepares graduates to meet industry demands and innovate in AI and machine learning fields.