ACE Credit evaluation criteria by course

The American Council on Education’s College Credit Recommendation Service (ACE CREDIT) has evaluated and recommended academic credit for the below courses offered by The Institute for Statistics Education at Statistics.com.

Courses are evaluated by the following criteria:

Course	Methods of Assessment	Credit Assessment
Introductory Statistics for Credit 8 weeks	The methods of assessment are quizzes, weekly homework assignments and a final examination, with a minimum passing score of 70 percent.	In the lower-division baccalaureate/ associate degree category, 3 semester hours in statistics.
Biostatistics for Credit 8 weeks	The methods of assessment are quizzes, weekly homework assignments and a final examination with a minimum passing score of 70 percent.	In the upper-division baccalaureate degree category, 3 semester hours in biostatistics.
Anomaly Detection	The methods of assessment include quizzes, case studies, and a final project, with a minimum passing score of 80 percent.	In the upper-division baccalaureate degree category, 3 semester hours in computer science, machine learning or artificial intelligence.
Categorical Data Analysis	The methods of assessment are quizzes, case studies and weekly homework assignments with a minimum passing score of 80 percent.	In the upper division baccalaureate degree category, 3 semester hours in statistics.
Cluster Analysis	The methods of assessment are weekly assignments and a final project with a minimum passing score of 80 percent.	In the upper-division baccalaureate degree category, 3 semester hours in statistics or data mining.
Customer Analytics in R	The methods of assessment are quizzes and case studies with a minimum passing score of 80 percent.	In the upper-division baccalaureate degree category, 3 semester hours in statistics, data mining, or programming.
Deep Learning	The methods of assessment include quizzes and case studies, with a minimum passing score of 80 percent.	In the upper-division baccalaureate degree category, 3 semester hours in statistics, data mining or computer science.
Financial Risk Modeling	The methods of assessment include quizzes, case studies and a final project, with a minimum passing score of 80 percent.	In the upper-division baccalaureate degree category, 3 semester hours in financial risk management, financial econometrics or applied statistics.
Forecasting Analytics	The methods of assessment are homework assignments and a final project with a minimum passing score of 80 percent.	In the lower-division baccalaureate/associate degree category, 3 semester hours in forecasting analytics, data mining, or data science.
Interactive Data Visualization	The methods of assessment are quizzes, weekly homework assignments and a final project with a minimum passing score of 80 percent.	In the upper-division baccalaureate degree category, 2 semester hours in computer science, computer information systems, or information technology.
Integer & Nonlinear Programming and Network Flow	The methods of assessment are weekly homework assignments with a minimum passing score of 80 percent.	In the upper division baccalaureate degree category, 3 semester hours in operation research, computer programming, statistics or computer information systems.
Matrix Algebra Review	The methods of assessment are quizzes and case studies with a minimum passing score of 70 percent.	In the lower-division baccalaureate/associate degree category, 3 semester hours in mathematics.
Natural Language Processing	The methods of assessment are weekly homework assignments, class posts, and short answer questions with a minimum passing score of 70 percent.	In the upper-division baccalaureate degree category, 2 semester hours in computer science, computer information systems, or cyber security.
Introduction to Network Analysis	The methods of assessment are weekly homework assignments and a final project with a minimum passing score of 80 percent.	In the upper-division baccalaureate degree category, 3 semester hours in computer science or network analysis.
Optimization – Linear Programming	The method of assessment is weekly homework assignments with a minimum passing score of 80 percent.	In the upper-division baccalaureate degree category, 3 semester hours in mathematics or business management.
Persuasion Analytics and Targeting	The methods of assessment include quizzes, case studies, and a final project, with a minimum passing score of 80 percent.	In the upper-division baccalaureate/associate degree category, 3 semester hours in computer science or data mining.
Predictive Analytics 1 -Machine Learning Tools	The methods of assessment are weekly homework assignments, a final project, and class posts with a minimum passing score of 80 percent.	In the upper-division baccalaureate degree category, 3 semester hours in predictive analytics, data mining, or business analytics.
Predictive Analytics 2 – Neural Nets and Regression	The methods of assessment are weekly homework assignments, a final project, and multiple-choice exams with a minimum passing score of 80 percent.	In the upper-division baccalaureate degree category, 3 semester hours in business analytics, predictive analytics, business analytics or data mining.
Predictive Analytics 3 – Dimension Reduction, Clustering, and Association Rules	The methods of assessment are a final project, multiple-choice examinations, and class posts with a minimum passing score of 80 percent.	In the upper-division baccalaureate degree category, 3 semester hours in business analytics, predictive analytics, or data mining.
Introduction to Python for Analytics	The methods of assessment are weekly homework assignments and a final project with a minimum passing score of 80 percent.	In the lower-division baccalaureate/ associate degree category, 3 semester hours in computer information systems, statistics, or programming.
R Programming – Introduction 1	The methods of assessment are weekly homework assignments with a minimum passing score of 70 percent.	In the lower-division baccalaureate/ associate degree category, 3 semester hours in computer programming, computer science, or information systems.
R Programming – Introduction 2	The methods of assessment are weekly homework assignments with a minimum passing score of 70 percent.	In the lower-division baccalaureate/ associate degree category, 3 semester hours in computer programming, computer science, or information systems.
R Programming – Intermediate	The methods of assessment are weekly homework assignments and a final exam with a minimum passing score of 70 percent.	In the upper-division baccalaureate degree category, 3 semester hours in computer science, computer programming, information systems or statistics.
Regression Analysis	The methods of assessment are quizzes, a final project, and weekly homework assignments with a minimum passing score of 80 percent.	In the graduate degree category, 3 semester hours in statistics or applied regression analysis.
Risk, Simulation and Queuing	The methods of assessment are quizzes and weekly homework assignments with a minimum passing score of 80 percent.	In the graduate degree category, 3 semester hours in statistics or decision science.
Spatial Statistics with Geographic Information Systems	The methods of assessment are weekly homework assignments and a final project with a minimum passing score of 80 percent.	In the upper-division baccalaureate degree category, 3 semester hours in spatial statistics, geospatial analysis or statistics.
SQL – Introduction to Database Queries	The methods of assessment are weekly homework assignments with a minimum passing score of 70 percent.	In the upper-division baccalaureate degree category, 3 semester hours in SQL queries, computer science or information systems.
Survival Analysis	The methods of assessment are weekly homework assignments and a final project with a minimum passing score of 80 percent.	In the graduate degree category, 3 semester hours in statistics or advanced biostatistics.
Text Mining	The methods of assessment are weekly homework assignments with a minimum passing score of 80 percent.	In the lower-division baccalaureate/associate degree category, 3 semester hours in computer science, information systems or cyber security.

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ACE Credit evaluation criteria by course