EECS 409-001: Each semester MIDAS hosts weekly seminars featuring data science leaders from industry and academia. Seminars are held Mondays from 4-5pm. Attendance required for completion of this course. View the seminar schedule
Course Catalog
Core Courses for the Graduate Certificate Program:
Legend: AA=Algorithms and Applications, DM=Data Management, AM=Analysis Methods.
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SurvMeth 687 (or 746): Applications of Statistical Modeling
AM
Advanced Statistical Modeling, designed for students on both the social science and statistical tracks for the two programs in survey methodology, will provide students with exposure to applications of more advanced statistical modeling tools for both substantive and methodological investigations that are not fully covered in other MPSM or JPSM courses. Modeling techniques to be covered include multilevel modeling (with an application to methodological studies of interviewer effects), structural equation modeling (with an application of latent class models to methodological studies of measurement error), classification trees (with an application to prediction of response propensity), and alternative models for longitudinal data (with an application to panel survey data from the Health and Retirement Study). Discussions and examples of each modeling technique will be supplemented with methods for appropriately handling complex sample designs when fitting the models. The class will focus on essential concepts, practical applications, and software, rather than extensive theoretical discussions.
Offering: Annually, Fall
Elective Courses Approved for the Certificate Program
Legend: AA=Algorithms and Applications, DM=Data Management, AM=Analysis Methods.
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Other Data Science Courses (not approved for the Certificate Program)
Legend: AA=Algorithms and Applications, DM=Data Management, AM=Analysis Methods.
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