George Mason University, IST Department
IT 700 - Doctoral Seminar I: Intro to Research (To be taught)
I developed this core course from scratch in 2023 to provide an orientation to prospective researchers. This course aims to provide guidance for early-stage doctoral students beginning their research in the PhD in Information Technology program. Specifically, this course covers discussions on (1) academic life and research processes, (2) general research methodologies, and (3) major research areas in the program. The objective of the course is to equip early-stage doctoral students with a comprehensive understanding of academic processes, methodological approaches, and research streams, in order to start formulating their dissertation research plans.
AIT 722 - Theories and Models in Geo-Social Data Analytics (Fall 2020-2022)
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 developed this course from scratch in 2020 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.
AIT 602 - Introduction to Research in Applied IT (Spring 2020-2022)
I re-designed this course in 2020 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.
AIT 580 - 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 the core courses for Masters students who are in Applied 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.
IT 304 - IT in the Global Economy (Fall 2023)
This course explores how IT changed the nature of society and contributed to the evolution of global economy. Course materials examine changing nature of work, education, communication, and ethical issues such as intellectual property rights, computer-related crime, privacy concerns, and public policy issues. This is a core course in the BS in IT program.
University of Maryland, iSchool
INST377 - Dynamic Web Applications (Fall 2017)
I developed this course from scratch in 2017 as a core course for the Data Science concentration in the BS in Information Science program at the UMD iSchool. This course incorporates technologies, tools, and skills necessary for constructing dynamic web applications. The course content encompasses, but is not limited to, PHP, JavaScript, HTML, CSS, jQuery, databases, and Linux web server configurations.