| Email: | George.Kodsey@fsw.edu |
|---|---|
| Phone: | (941) 637-3539 |
| Extension: | 53539 |
| Location: | CHARLOTTE H102 |
| Department: |
Biography
Dr. George Kodsey is a Professor of Computer Science in the School of Business and Technology at Florida SouthWestern State College. He holds a Ph.D. in Computer Science and a Master’s degree in Computer Science from Middlesex University in London. He is currently pursuing a Master’s degree in Artificial Intelligence at the University of Texas at Austin, further strengthening his expertise in advanced AI systems and machine learning.
Dr. Kodsey’s academic and professional work centers on artificial intelligence, machine learning, distributed systems, cloud computing, and modern software engineering. His doctoral research focused on e-learning systems and the integration of technology into advanced educational environments, establishing a foundation in intelligent system design and digital learning architectures.
Within the Computer Science department, Dr. Kodsey plays an active leadership role in curriculum development and program advancement. He has developed and redesigned numerous courses in programming, data structures, database systems, web development, cloud computing, and machine learning. His work ensures alignment with industry standards, emerging technologies, and institutional quality benchmarks.
By integrating advanced AI concepts, GitHub-based development workflows, and cloud-based infrastructure into the curriculum, Dr. Kodsey contributes to the strategic growth and modernization of Computer Science education at FSW. His current academic focus in Artificial Intelligence supports the continued expansion of AI-driven coursework and innovative computing initiatives within the department.
Education (Degrees and Certifications)
Ph.D. in Computer Science (E-Learning Systems) Middlesex University, London, United Kingdom
Master of Science (M.Sc.) in Computer Science Middlesex University, London, United Kingdom
Master of Science (In Progress) in Artificial Intelligence University of Texas at Austin
Research (Publications, Presentations, and Other Projects)
- Iskander, G. (2012). “EXPLORING THE DIMENSIONS OF E-LEARNING MATURITY MODEL”, International Journal of Emerging Technology in E-learning, ISSN 1863-0383 Volume: 7 Number: 2 (2012).
Courses (Classes Taught Regularly)
COP 3505 – Intermediate Computer Programming COP 3538 – Data Structures COP 2800 – Java Programming COP 2360 / 2362 – C# Programming COP 2830 – Internet Programming COP 1822 Web Development COP 2830 Web Development CEN 4330 Advanced Database COP 2700 Database
College and Community Service
Active contributor to Computer Science program development and curriculum modernization Led course alignment initiatives to meet Quality Matters standards Participated in academic planning and program development discussions Supported departmental technology enhancement initiatives Provided mentorship and academic advising to Computer Science students Contributed to the development of AI-focused academic pathways within the department
Professional Development
Currently pursuing a Master of Science in Artificial Intelligence at, University of Texas at Austin Advanced coursework in Reinforcement Learning, Machine Learning, and Intelligent Systems Quality Matters Course Design and Online Instruction Alignment Continuous training in Cloud Computing and Distributed Systems Advanced AI curriculum development and infrastructure planning