M 345 - Methods in Data Analysis and Modeling

4 Credit(s)

This course is an applied workshop in which students will learn and practice methods that are designed for exploring the structure of multivariate data sets, analyzing time series data sets, and seeking patterns in sequential or spatial data sets. In most cases, this course will be themed so that real data sets are taken from a specific application area (such as ecology, genetics, geology, information science, etc.) and are analyzed and/ or modeled using appropriate techniques. In light of this, the techniques students use in these fields will vary from class to class. However, they will tend toward the elementary so that more sophisticated techniques might be further developed in subsequent courses such as Multivariate Statistics, Data Mining, Stochastic Modeling, or the Modeling Workshop.

Prerequisite(s): STAT 121 and M 210 grade B- or higher; or c/i.
(fall/odd-numbered years).