Courses

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Teaching

Please find the courses that I am teaching regularly. Feel free to contact me if you have any questions, chin5@illinois.edu.

 

IS596DIS Designing Intelligent Systems to Augment Human Performance 

Given the rapid changes in information environments, emerging research has proposed and investigated the potential to leverage data sciences, artificial intelligence and computational technologies to complement, support, and augment human performance. While intelligent systems have been pervasive in our daily life, it is critical to evaluate and design these systems with solid theoretical foundations in human behavior. This course will be composed of five modules, each covering a type of intelligent system, from search, decision-making, learning, health behavior, to crowd behavior. Each module will start with the lecture on the foundation in cognitive and psychological sciences of human behavior, an analytical review on the current intelligent systems or technologies/models developed to support this behavior, and an interactive discussion on what can be done to design a system to augment human performance. This course will be composed of lectures, discussions, and hands-on development.

A semester-long project will be involved to develop hands-on experience in designing or analyzing intelligent systems to augment a specific human performance. No technical background is required.

iSchool Syllabus IS596 DIS Spring 2025

IS504 Sociotechnical Information Systems

The character, success, and costs/benefits of information technologies are socio-technical matters. Because of this, best practice for IT design and integration relies on participants’ ability to understand and create for the totality of those settings, including social and technical dimensions. This course provides students with analytic tools for examining socio-technical settings and experience in applying that knowledge in IT modeling, design and management.

  • Topics we will cover: introduction to sociotechnical challenges, adaptation and rationality, moral, values and ethics in design, promises and problems in data sciences, diversity and inclusion, misinformation and regulations, law and intellectual property, user-centered and participatory design, systems modeling and cognitive work analysis, and sociotechnical issues in health informatics.
  • Required course for MS Program in Information Management. Graduate students in other programs are also welcome!

iSchool Syllabus IS504 Fall 2024