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.

Course Numbers Policy
Definitions of Course Characteristics (pdf)

Course Descriptions: Search Results

FOR 128  Practical Computing and Data Science Tools

Semester:
Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 2   Lab Hours: 2
Description:
Foundational skills to work efficiently in a computing environment. Introduction to exploratory data analysis, spreadsheets, and R programming language.
Effective Dates:
SS23 - Open


FOR 128  Practical Computing and Data Science Tools (Interim Change)

Semester:
Fall of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 2   Lab Hours: 2
Description:
Foundational skills to work efficiently in a computing environment. Introduction to exploratory data analysis, spreadsheets, and R programming language.
Effective Dates:
FS25 - Open