Explore representative research courses, methods programs, and mentored projects across disciplines. These examples show the questions, skills, and learning experiences a program can include; they are not an exhaustive catalog or a statement of current enrollment availability.
Where a past offering has been confirmed, its year or term and delivery context appear in the record. Learning sequences labeled illustrative were developed to explain program scope and may differ from the sessions used in a particular offering.
Build a practical starting point for scholarly reading, literature search, research questions, academic writing, and responsible AI use.
Use systematic review methods and R to synthesize research evidence and interpret quantitative findings.
Turn public datasets into reproducible analyses using R, research design, regression, and introductory measurement methods.
Compare predictive models and examine how uncertainty changes the interpretation of data-driven decisions.
Build a research workflow from Python data preparation to machine-learning evaluation and an applied project.
Explore population-health questions through study design, descriptive analysis, and introductory statistical modeling.
Use text, network, and bibliometric data to investigate social questions with transparent computational methods.
Investigate financial questions using empirical design, Stata, financial datasets, and a structured research project.
Explore human-centered research, interface prototyping, and the evaluation of AI-mediated interactions.
Model hybrid energy systems and explore how data and optimization inform system design and operation.
Connect computer vision, machine learning, and physical modeling through a focused engineering research question.
Explore sensing, control, and system integration through a scoped robotics or engineering design project.
Explore a reproducible computational drug-design workflow using protein structures, docking, and introductory machine learning.
Study how natural-language preferences can be interpreted and evaluated in a simulated driving decision system.
Investigate pricing, consumer behavior, and platform strategy in commerce involving AI and human presenters.
Explore a selected computational research question using biological data and transparent analytical methods.
Investigate how vision, geometric reconstruction, and robot motion relate in an educational robotics study.
Explore geometric measurement and reconstruction using a single-camera configuration and explicit assumptions.
Explore data-driven approaches to manufacturing defects, prediction, and process-quality questions.
Study manufacturing and performance trade-offs for flexible solar devices through a bounded research project.
Explore a research application in construction vision, building modeling, or digital-twin environments.
Develop a research question at the intersection of interactive technology, cultural inquiry, and design.
Translate a developing research project into a clear abstract, poster, paper, or academic presentation.
Integrate readiness assessment, research foundations, methods, and a substantive capstone into a school pathway.
Try a different topic or clear the filters.
Our community initiatives include workshops, faculty-path conversations, and doctoral-preparation mentoring.