George Mason University, IST Department

- AIT722 - Theories and Models in Geo-Social Data Analytics (Fall Semesters)

This course discusses a broad spectrum of social theories, conceptual models, machine learning techniques, and computational modeling that are used in or related to Smart and Connected Communities (S&CC). I designed this course based on research and practical articles from multiple disciplines that study local communities such as information science, computational social science, and human-computer interaction. Graduate students who are interested in (1) local community issues, (2) smart cities, and (3) geo-social data analytics and visualization are encouraged to take this course.

AIT602 - Introduction to Research in Applied IT (Spring Semesters)

I re-designed this course to introduce diverse research methods for information science research. Particularly, this course discusses modern computational techniques used in information science research by placing them on the spectrum of traditional social science methods and provides various techniques and technologies that enable traditional methods to scale with big data. Graduate students who want to develop fundamental research skills in Information Science are encouraged to take this course.

AIT580 - Analytics: Big Data to Information (Fall 2019, Spring 2022)

This course introduces a broad spectrum of data analytic tools and techniques. This course is one of core courses for graduate students who are in Information Technology or Data Analytics Engineering programs. Graduate students who want to review introductory data science techniques and tools are encouraged to take this course. 

University of Maryland, iSchool

 - INST377 - Dynamic Web Applications (Fall 2017)