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Feb 09, 2025
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EDRE 7610 - Computer Science Applications in Educational Research Use of Monte Carlo methods in educational statistics using statistical programming languages.
Requisites: EDRE 7600 Credit Hours: 4 Repeat/Retake Information: May not be retaken. Lecture/Lab Hours: 4.0 seminar Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I Learning Outcomes: - Students will be able to describe and evaluate the purposes, methods, and limitations of Monte Carlo research.
- Students will be able to perform and simulate basic, intermediate, and advanced statistical analyses as well as measurement analyses using at least one statistical programming language (e.g., R or SAS).
- Students will be able to write a computer program to carry out a basic statistical Monte Carlo simulation (e.g., research or instructional demonstration of statistical concepts).
- Students will be able to understand topics related to Monte Carlo simulation programming (e.g., random number generation, algorithms, program control, data types, validating code, resampling, bootstrapping, permutations).
- Students will be able to communicate effectively about Monte Carlo research, including evaluating research reports.
- Students will be able to prepare a proposal and/or perform a study for an academic conference.
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