INF 385T - Special Topics in Information Science: Data Management and Research Life Cycle
Graduate standing. Additional prerequisites may vary with the topic.
Study of the properties and behavior of information. Technology for information processing and management.
Three lecture hours a week for one semester.
May be repeated for credit when the topics vary.
Cross-listing of P A 397C, offered by the LBJ School of Public Affairs.
Instructor: Ji Ma
Data Management and Research Life Cycle
This class equips thoughtful thinkers with powerful data science skills. You will learn how to manage and
work with complex and big datasets in social science research, particularly in policy and nonprofit studies.
You are expected to learn the following skills and respond to “big questions” that have social importance:
1) Understand the structure of data and how to work with big and complex datasets; 2) Understand the
workflows of acquiring and managing data; 3) Able to conduct data-intensive and replicable social science
research. This class uses Python as the main programming language because “life is short, you need Python.”