Statistics for Informatics

Program: Undergraduate
Course Areas
Required for an Informatics Degree

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.

Skills and Knowledge
R
RStudio
Topics and Concepts
Data Visualization
Linear Regression
Logistic Regression

Scheduled and Upcoming Classes for this Course

Class Name Semester Day(s) Start Time(s) End Time(s) Building Room
I 306: Statistics for Informatics

Nathan TeBlunthuis

Fall Term 2025
  • Tuesday
  • Thursday
  • 11:00 am
  • 11:00 am
  • 12:30 pm
  • 12:30 pm
  • JES
  • JES
  • A303A
  • A303A
I 306: Statistics for Informatics

Syllabus

Spring Term 2025
  • Tuesday
  • Thursday
  • 03:30 PM
  • 03:30 PM
  • 05:00 PM
  • 05:00 PM
  • UTC
  • UTC
  • 1.118
  • 1.118

Past Classes for this Course

Class Name Semester Day(s) Start Time(s) End Time(s) Building Room
I 306: Statistics for Informatics

Michael Mcquaid Syllabus

Spring Term 2024
  • Monday
  • Wednesday
  • 05:00 PM
  • 05:00 PM
  • 06:30 PM
  • 06:30 PM
  • RLP
  • RLP
  • 0.108
  • 0.108
I 306: Statistics for Informatics

Michael Mcquaid Syllabus

Fall Term 2024
  • Monday
  • Wednesday
  • 03:30 PM
  • 03:30 PM
  • 05:00 PM
  • 05:00 PM
  • RLP
  • RLP
  • 1.104
  • 1.104
I 306: Statistics for Informatics

Michael Mcquaid Syllabus

Spring Term 2023
  • Tuesday
  • Thursday
  • 05:00 PM
  • 05:00 PM
  • 06:30 PM
  • 06:30 PM
  • JES
  • JES
  • A203A
  • A203A
I 306: Statistics for Informatics

Michael Mcquaid Syllabus

Fall Term 2023
  • Monday
  • Wednesday
  • 03:30 PM
  • 03:30 PM
  • 05:00 PM
  • 05:00 PM
  • RLP
  • RLP
  • 1.104
  • 1.104