About STAT 1870 A

Basic techniques of data harvesting and cleaning; association rules, classification, clustering; analyze, manipulate, visualize data using programming languages. Basic principles of probability and statistical modeling/inference to make meaning out of large datasets. No credit given after STAT 3000 or greater. Cross-listed with: CS 1870.

Notes

Cross listed with CS 1870 A; Total combined enrollment: 45; Open to Degree and PACE students

Section Description

Basic techniques of data harvesting and cleaning; association rules, classification, clustering; analyze, manipulate, visualize data using programming languages. Basic principles of probability and statistical modeling/inference to make meaning out of large datasets. No credit given after STAT 200 or greater.

Section Expectation

This is an in-person course. During class we will spend time coding, discussing concepts, or doing activities. We’ll work in pairs or small groups during class occasionally. Homework will be completed online, outside of class, and submitted on Blackboard. Quizzes will take place during class time.

Evaluation

Your final graded will be determined by the in class quizzes, homework assignments, and 2 exams (one midterm exam which covers modules 1 - 3 and one final exam which covers modules 4 - 6).

Important Dates

Note: These dates may change before registration begins.

Note: These dates may not be accurate for select courses during the Summer Session.

Deadlines
Last Day to Add
Last Day to Drop
Last Day to Withdraw with 50% Refund
Last Day to Withdraw with 25% Refund
Last Day to Withdraw

Resources

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