Jai Kang Headshot

Jai Kang

Associate Professor
School of Information
Golisano College of Computing and Information Sciences

585-475-5362
Office Location

Jai Kang

Associate Professor
School of Information
Golisano College of Computing and Information Sciences

Education

BS, Seoul National University (South Korea); MA, Kent State University; MS, Georgia Institute of Technology; Ph.D., State University of New York at Buffalo

585-475-5362

Areas of Expertise

Currently Teaching

ISTE-724
3 Credits
This course covers the purpose, scope, capabilities, and processes used in data warehousing technologies for the management and analysis of data. Students will be introduced to the theory of data warehousing, dimensional data modeling, the extract/transform/load process, warehouse implementation, dimensional data analysis, and summary data management. The basics of data mining and importance of data security will also be discussed. Hands-on exercises include implementing a data warehouse.
ISTE-600
3 Credits
There is mounting evidence of a need to improve the ability of individuals and groups to think thoughtfully and analytically in order to develop appropriate and useful solutions to complex problems. Sources of complexity include human cognitive limitations, uncertainty, system dynamics, and reasoning errors. This course will provide students with frameworks, techniques, methods, and tools to improve analytical and critical thinking and presentation skills. Students will work individually and in groups on assignments and case study analyses.
ISTE-434
3 Credits
This course covers the purpose, scope, capabilities, and processes used in data warehousing technologies for the management and analysis of data. Students will be introduced to the theory of data warehousing, dimensional data modeling, the extract/transform/load process, warehouse implementation, and summary-data management. The basics of data mining and importance of data security will also be discussed. Hands-on exercises include implementing a small-scale data warehouse.
ISTE-612
3 Credits
This is the second course in a two-course sequence that provides students with exposure to foundational information sciences and technologies. Topics include internet middleware technologies, data and text analytics, and information visualization. Note: One year of programming in an object-oriented language, a database theory course, a course in Web development, and a statistics course is needed.
ISTE-799
3 Credits
The student will work independently, under the supervision of one or more faculty advisers, on a topic of mutual interest that is beyond the depth of or not covered in other courses.

Select Scholarship

Published Conference Proceedings
Kang, Jai W., et al. "IT Curriculum: Coping with Technology Trends & Industry Demands." Proceedings of the SIGITE '18 The 19th Annual SIG Conference on Information Technology Education , October 3–6, 2018, Fort Lauderdale, FL, USA. Ed. Bryan S. Goda and Dan Bogaard. New York, NY: ACM, Web.
Kang, Jai W., Qi Yu, and Erik Golen. "Teaching IoT (Internet of Things) Analytics." Proceedings of the ACM Conference on IT Education/IT Research SIGITE\'17, October 4—7, 2017, Rochester, NY, USA. Ed. Dan Bogaard and Tom Ayers. New York, NY: ACM (Association for Computing Machinery), 2017. Web.
Kang, Jai W., et al. "Security Requirements Embedded in MS Programs in Information Sciences and Technologies." Proceedings of the ACM SIGITE’16 (the 17th Annual Conference on Information Technology Education). Ed. Cindy Edwards. New York, NY: Sheridan Printing, Web.
Kang, Jai W., et al. "Web-Based Implementation of Data Warehouse Schema Evolution." Proceedings of the Asian Conference on Computer and Information Science and Engineering Kuala Lumpur, Malaysia December 18-19, 2014. Ed. Dariusz Barbucha, Ngoc Thanh Nguyen, John Batubara. Kuala Lumpur, Malaysia: Springer International Publishing, 2015. Print.
Kang, Jai W., Edward P. Holden, and Qi Yu. "Pillars of Analytics Applied in MS Degree in Information Sciences and Technologies." Proceedings of the ACM SIGITE 2015 16th Annual Conference on IT Education. September 30-October 3, 2015. Chicago, IL. Ed. Amber Settle & Terry Steibach. New York, NY: ACM, 2015. Print.
Kang, Jai W., Edward P. Holden, and Qi Yu. "Design of an Analytic Centric MS Degree in Information Sciences and Technologies." Proceedings of the 15th Annual Conference on Information Technology Education and The 3rd Annual Conference on Research in Information Technology, October 15-18, 2014, Atlanta, Georgia. Ed. Amber Settle and Terry Steinbach. New York, NY: ACM, 2014. Print.