INFO-H 695 Thesis/Project in Applied Data Science
1-6 credits
- Prerequisites: INFO-I 575 Informatics Research Design or LIS-S 506 Introduction to Research or another approved graduate-level course on research design and methods
- Delivery: On-Campus, Online
- Evaluate the research literature critically, interpreting data science contributions, deficiencies, and theories with respect to the thesis/project research problem, aims, questions or hypotheses, and methods.
- Assess the research designs of published research articles in data science.
- Formulate specific research aims, questions, or hypotheses within a topic area of data science.
- Determine appropriate research methods to answer particular research questions, to test hypotheses, or to evaluate algorithms or systems.
- Analyze data using appropriate quantitative methods.
- Critique peers’ research designs and provide generative feedback.
- Design, develop, and write a research thesis or project proposal and defend it before a research committee.
- Execute the research proposal, developing a system and/or collecting data, based on the research plan, and abiding by ethical standards for conducting research.
- Write a thesis/project report and defend it before a research committee.
The student prepares and presents a thesis or project in applied data science. The thesis is a substantial multi-chapter paper or carefully designed and evaluated application, based on well-planned research or a scholarly project. Details are worked out between the student and an advising faculty member.