MATH 416 Linear Statistical Modeling with SAS

This course is intended for advanced undergraduate students, graduate students, and working professionals who engage in applied research. Statistical linear modeling methods are used in conjunction with SAS computer software to analyze data from experiments and observational studies. Topics include regression analysis, analysis of variance, multiple comparisons and multiple tests, mixed models, analysis of covariance, logistic regression, and generalized linear models.


3 credits


Either of MATH 110 (B or better) or MATH 311 (C or better) and either of CPSC 100 (B or better) or CPSC 101 (B or better)




140-UG Level 4 Advanced