INFSCI 2020 - MATHEMATICAL FOUNDATIONS FOR INFORMATION SCIENCE
Minimum Credits: 3
Maximum Credits: 3
This course introduces the primary mathematical foundations underlying principles of information science, particularly the concepts, representations, and functions associated with the mathematically-intensive information science areas such as data mining, information retrieval, machine learning, cloud computing, and network science. Topics include, but are not limited to, probability, matrix operations, graph theory, logic, combinatorics, and information theory.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: PROG: Sch Computing and Information; PLAN: Excluded Plans = Library & Information Science (MLIS, PHD, CERT-Advanced)
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Enrollment not permitted if previously enrolled in INFSCI 2710 or INFSCI 2591
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