INF 383D - Mathematical Foundations of Information Studies
Introduction to traditional finite mathematical concepts, including probability distributions and models, linear equations, matrix algebra, linear statistical models, basic information theory, and the use of mathematical and statistical software for modeling and data analysis.
Three lecture hours a week for one semester.
INF 383D Mathematical Foundations of Information Studies (Friday mornings 9-12). The course has been redesigned and is intended for students who would like a basic mathematical foundation for doing their work as information professionals, but who have received little or no formal training in mathematics or mathematically oriented disciplines since high school, or whose mathematics is very rusty. The course will focus on five types of mathematical thinking: logical, relational, recursive, quantitative, and analytical. Applications will include ones from big data, social network analysis, modeling of complex systems, and probabilities and statistics. Textbook: David J. Hunter, Essentials of Discrete Mathematics (2nd ed.).