Catalog Description
Instructor Description
We will describe data using visual and numerical descriptions (visualization and summary statistics). We will learn to make predictions and draw inferences using simple and multiple linear regression. We will learn classification using logistic regression. We will learn how to interpret diagnostic plots that accompany linear models. We will practice all these things using R and RStudio, which will be taught as part of the class. Some math and programming is not required but will be helpful in reducing the workload in the class. A statistics course is required but other statistics courses can be substituted for this one. This course counts for the Quantitative Reasoning flag, starting in Fall 2024.
Restrictions
Restricted to informatics majors and students pursuing the informatics minor.
Scheduled and Upcoming Classes for this Course
Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
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I 306: Statistics for Informatics
Nathan TeBlunthuis |
Spring Term 2026 |
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I 306: Statistics for Informatics
Steve Hershman Syllabus |
Fall Term 2025 |
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I 306: Statistics for Informatics | Spring Term 2025 |
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Past Classes for this Course
Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
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I 306: Statistics for Informatics
Michael Mcquaid Syllabus |
Spring Term 2024 |
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I 306: Statistics for Informatics
Michael Mcquaid Syllabus |
Fall Term 2024 |
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I 306: Statistics for Informatics
Michael Mcquaid Syllabus |
Spring Term 2023 |
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I 306: Statistics for Informatics
Michael Mcquaid Syllabus |
Fall Term 2023 |
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