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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.
Prerequisites
Restrictions
Restricted to undergraduate Informatics majors through registration period 1. Informatics minors may add classes and join waitlists beginning in period 2. Outside students will be permitted to join our waitlists beginning with period 3.
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.