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Apr 16, 2026
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MIST 130: Statistical Data Analysis and Optimization in R for Decision Support
Units: 4
Introduces statistical analysis and optimization for decision support using the R programming environment. Analyze and visualize data and model relationships using graphing techniques, correlation and regression analysis, scenario development and analysis, sensitivity analysis, simulations, and optimization. Emphasizes applied work using real data from resource management and service management examples to support decision making. Case driven and team-focused, emphasizes best practices and professional ethics for analyzing, modeling and communicating empirical data and model results.
Course Details
Repeats Allowed for Credit: 0
Laboratory included
Normal Letter Grade only
GE Requirements - Approaches to Knowledge: Social Science
- Upper Division: Crossroads
- Upper Division: Writing in the Discipline
Requisites and Restrictions
Prerequisite Courses: (MATH 011 or MATH 015 or MATH 018 or BIO 018 or MATH 032 or COGS 013 or COGS 105, which may be taken concurrently, or ECON 010 or PSY 010 or PSY 015 or ENGR 080 or equivalent exam) and (MATH 050 or MIST 060 or ME 021 or BIOE 021 or CSE 019 or CSE 020 or CSE 022 or CSE 030 or ENGR 140, which may be taken concurrently, or CSE 106, which may be taken concurrently, or equivalent exam)
Open only to the following class level(s):
Instructor Permission Required: No
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