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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Course Descriptions: Search Results

ACC 827  Accounting Analytics

Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
ACC 321 or ACC 821
Restrictions:
Open to master's students in the Accounting Major.
Description:
Develop an accounting analytics mindset. Determine and apply appropriate data analytic techniques based upon the accounting environment and situation. Use data visualization, predictive analytics and other analytics software as appropriate.
Effective Dates:
FS17 - FS20


ACC 827  Accounting Analytics

Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
(ACC 321 or ACC 821) and ACC 411
Restrictions:
Open to master's students in the Accounting Major.
Description:
Develop an accounting analytics mindset. Determine and apply appropriate data analytic techniques based upon the accounting environment and situation. Use data visualization, predictive analytics and other analytics software as appropriate.
Effective Dates:
SS21 - SS22


ACC 827  Accounting Analytics

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
(ACC 321 or ACC 821) and ACC 411
Restrictions:
Open to master's students in the Accounting Major or approval of department.
Description:
Data visualization, predictive analytics, time series analysis, machine learning, supervised and unsupervised learning, association analysis, and other analytics techniques as appropriate to accounting environment and situation.
Effective Dates:
US22 - Open


ACC 827  Accounting Analytics and Artificial Intelligence (Interim Change)

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Restrictions:
Open to master's students in the Eli Broad College of Business and The Eli Broad Graduate School of Management or in the Department of Accounting and Information Systems or in the Accounting and Data Analytics Major or approval of department.
Description:
Data visualization, predictive analytics, time series analysis, machine learning, supervised and unsupervised learning, association analysis, artificial intelligence tools, and other analytics tools and techniques as appropriate to accounting environment and situation.
Effective Dates:
FS26 - Open