ASRM 442

Fall 2025 All Classes

All Classes

Statistics for Risk Modeling II

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Credit: 4 hours.

Introduction to the theory and practice of supervised and unsupervised data analysis techniques. Topics include statistical learning methodologies, cross validation and model selection methods, generalized linear regression, data shrinkage, ridge and lasso methods, decision trees, regression and classification techniques, principal components, unsupervised learning techniques, cluster analysis.

4 undergraduate hours. 4 graduate hours. Credit is not given towards graduation for ASRM 442 and ASRM 451/Stat 432. Prerequisite: ASRM 401 or STAT 400; ASRM 441 or ASRM 450.

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ASRM 442 class schedule data for fall 2025
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	80498	Discussion/ Recitation Lecture	G G	4:00PM -4:50PM 12:30PM -1:50PM	F TR	302 Architecture Building 302 Architecture Building	Freiji, C Wongwoottisaroch, Y Freiji, C Wongwoottisaroch, Y	Part of Term: 1 Date Range: 08/25/25-12/10/25
	80497	Discussion/ Recitation Lecture	UG UG	4:00PM -4:50PM 12:30PM -1:50PM	F TR	302 Architecture Building 302 Architecture Building	Freiji, C Wongwoottisaroch, Y Freiji, C Wongwoottisaroch, Y	Part of Term: 1 Date Range: 08/25/25-12/10/25