Computer and Information Systems, B.S., M.S. Courses

CIS 162 Computer Science 2 or 161 Scientific Computing

Introduction to programming and computer science through lab and lecture. Simple and structured data types and program control structures. Problem analysis, algorithm design, and computer implementation using a high-level language. Offered every semester. Prerequisite: MTH 110. Credits: 4

CIS 335 Knowledge Discovery and Data Mining

Data Mining is the application of computational techniques to the discovery of useful information in large data sets. This course will provide a hands-on study of computational methods for such knowledge discovery. Topics include clustering, classification techniques, and selected data mining software. Prerequisite: Either CIS 160 or CIS 161 or CIS 162, and STA 215. Credits: 3

CIS 360 Data Management and Science

Introduction to information representation, modeling, storage, retrieval, processing, analysis, visualization, and science. Topics include digital libraries, repositories, collections, metadata, databases, ontologies, vocabularies, dictionaries, and multimedia, as applied to complex and compound content at a large scale. Approaches will be discussed in the context of business, medical, humanities, and scientific content. Prerequisite: (CIS 160 or CIS 161 or CIS 162) and (STA 215 or STA 312). Credits: 3