The Undergraduate Certificate in Artificial Intelligence - Computing is intended to provide a foundation in the principles and techniques of contemporary artificial intelligence (AI). It is also intended to provide the skills necessary to apply AI-based technologies to solve problems, evaluate both the technical performance of AI-based solutions and their potential ethical/societal implications, and communicate AI concepts and findings to others. The certificate is especially suited to students majoring in computer science, data science, computer systems engineering, and other mathematical and scientific fields. Enrolling in the Certificate Program The certificate program is open to current undergraduate students. Students may enroll in the certificate program through Athena. Under Student Services, select My Programs, then Add Certificate. This should be done before you intend to graduate. Once requirements for the certificate are completed, you may again use Athena to apply to graduate with the certificate. Program of Study At least 16 credit hours are required to earn the certificate, as described below. Additionally,some courses have MATH 1113 Precalculus as a minimal prerequisite. Students completing the certificate must earn a grade of "C-" or better in each of the requiredcourses. Descriptions of the courses can be found in the UGA Bulletin. Foundational AI Courses (9-10 hours) CSCI(PHIL) 4550/6550 Artificial Intelligence (3 hours) Choose one of the following: CSCI 1360 Foundations for Informatics and Data Analytics (4 hours) CSCI 2610 Discrete Mathematics for Computer Science (4 hours) CSCI 2611 Discrete Mathematics for Engineers (3 hours) PHIL 2500 Symbolic Logic (3 hours) Choose one of the following: ARTI 2130 AI for Humans: Learning to Live with AI (3 hours) ARTI(PHIL) 4340/6340 Ethics and AI (3 hours) AI, Computer Science Electives (7-8 hours) Pick at least two elective classes chosen from the lists below. Note: Students pursuing the Bachelor of Science (B.S.) in Data Science must take at least 1 class in Group I. Group I CSCI(ARTI) 4530/6530 Introduction to Robotics (4 hours) CSCI 4560/6560 Evolutionary Computation and Its Applications (4 hours) CSCI 4800/6800 Human-Computer Interaction (4 hours) CSCI(ARTI) 4600/6600 Reinforcement Learning (3 hours) Group II CSCI 3360 Data Science I (4 hours) CSCI 4360/6360 Data Science II (4 hours) CSCI 4380/6380 Data Mining (4 hours) CSCI 4850/6850 Biomedical Image Analysis (4 hours)
