Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

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MTH 800  Quantitative Foundations for Machine Learning

Semester:
Fall of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
MTH 132 and MTH 133 or approval of department
Description:
Advanced calculus and linear algebra tools for machine learning algorithms.
Effective Dates:
US20 - Open


MTH 800  Quantitative Foundations for Machine Learning (Interim Change)

Semester:
Fall of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
MTH 132 and MTH 133 or approval of department
Restrictions:
Open to graduate students or master's students or doctoral students in the Applied Mathematics Major or in the Industrial Mathematics Major or in the Mathematics Major or approval of department.
Description:
Advanced calculus and linear algebra tools for machine learning algorithms.
Effective Dates:
FS24 - Open