The explosion of digital information has created new opportunities in so many fields-from the sciences to engineering and the humanities. The Georgia Informatics Institutes (GII) will be a hub for informatics research and instruction that will promote collaboration among faculty members and give our students the knowledge and skills they need to fill some of today’s most in-demand positions.
Kyle Johnsen, Professor, Electrical and Computer Engineering
kjohnsen@uga.edu
Lakshmish Ramaswamy, Professor, School of Computing
laks@cs.uga.edu
The certificate is an undergraduate program designed to help students prepare for a data-centric career. It includes a core foundational sequence of three courses that hone knowledge and practical skills in general computing, programming, data-science, and machine learning as well as electives that provide opportunities to focus on domain-specific approaches.
For official requirements, please see the UGA Bulletin entry.
Students must complete the following three courses:
Provides instruction and insights, on a foundational basis, into Data Science, including mathematics, programming, data management, and computer systems. It also develops the skills to apply theory, skills, and toolkits to real-world applications in different industries. The course provides extensive hands-on experience. (Official Description)
Instructor: Qin Lu, Assistant Professor, Electrical and Computer Engineering
Focuses on using advanced data engineering and machine learning techniques like APIs, ETL, and Deep Learning with an emphasis on application development and implementation. Students will also dive into specific domains in the Industry verticals like FinTech, agriculture, manufacturing, and others. (Official Description)
Instructor: Jag Rao, Professor of Practice, Electrical and Computer Engineering
Focuses on cloud computing, platform technologies, and integration of distributed data sources. New technologies like reinforcement learning are introduced in this course. Project work will be focused on innovation topics provided by companies from FinTech, agriculture, manufacturing, and others. Also offered for graduate credit as INFO 6000/E. (Official Description)
Instructor: Jag Rao, Professor of Practice, Electrical and Computer Engineering
Students must also take two approved elective courses (6 credit hours). Beyond the official list, approved electives include:
Students who have completed at least INFO 2000 and INFO 3000 and would like permission to take an alternative elective not listed here may contact the program director to request an override.
A complete, official list of authorized electives can be found at the UGA Bulletin.