Statistics for Informatics

Catalog Description

Examine fundamental principles in probability and statistics. Cultivate an understanding of descriptive and inferential statistics. Conduct and interpret statistical analyses using statistical analysis software, and apply these analyses to common issues in informatics. Offered on the letter-grade basis only. 

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.

Notes

This course carries the Quantitative Reasoning Flag.  Quantitative Reasoning courses apply high-level quantitative skills (e.g., data analysis and modeling, simulation, statistics, probability, and quantitative decision analysis) to analyze real-world problems. For example, a Quantitative Reasoning class might focus on basic or advanced statistics and modeling of data, understanding analytical tools in economics and the abstract concepts that underlie them, or how to carry out and analyze results from GIS and remote sensing techniques in archaeological research.

Course Areas
Required for an Informatics Degree
Skills and Knowledge Tags
R
RStudio
Topics and Concepts Tags
Data Visualization
Linear Regression
Logistic Regression

Course classes

Instructor Title Year Semester Syllabus
I 306: Statistics for Informatics 2025 Spring Term 2025
Michael Mcquaid I 306: Statistics for Informatics 2024 Spring Term 2024
Michael Mcquaid I 306: Statistics for Informatics 2024 Fall Term 2024
Michael Mcquaid I 306: Statistics for Informatics 2023 Spring Term 2023
Michael Mcquaid I 306: Statistics for Informatics 2023 Fall Term 2023