This course provides students with an introduction to the R programming language that will be used in all core courses and many of the technical electives. There is a growing demand for students with a background in generalist data science languages such as R, as opposed to more limited software such as Excel or statistics packages such as SPSS or Stata. The course will also provide students with a solid grounding in general data management and data wrangling skills that are required in all advanced quantitative and data analysis courses.

This class serves as an introduction to Geographic Information Science (GIS). GIS is the science of spatial relationships, linking data to locations to explore relations between objects. Based in geographic thought and emerging from initial applications in natural resource management, GIS has evolved to be a universally applicable way of thinking and set of knowledge, skills, and practices. The goals of this course are to teach you basic GIS concepts through practice and theory, to enable you to make useful and meaningful contributions to various disciplines through spatial analysis.

This class serves as an introduction to Geographic Information Science (GIS). GIS is the science of spatial relationships, linking data to locations to explore relations between objects. Based in geographic thought and emerging from initial applications in natural resource management, GIS has evolved to be a universally applicable way of thinking and set of knowledge, skills, and practices. The goals of this course are to teach you basic GIS concepts through practice and theory, to enable you to make useful and meaningful contributions to various disciplines through spatial analysis.

The theory seminar is a weekly meeting in which topics of interest in the theory of computation - broadly construed - are presented. This is sometimes new research by visitors or local people. It is sometimes work in progress, and it is sometimes recent material of others that some of us present in order to learn and share. This is a one-credit seminar which may be taken repeatedly for credit. May be repeated for credit up to six times.

Teaching Assistants as Tomorrow's Faculty prepares Teaching Assistants (TAs) at the College of Information and Computer Sciences to fulfill their duties in an effective and pedagogically sound manner. The two credit (not repeatable) course is semester long and taken by all TAs prior to assuming assistantship.

Teaching Assistants as Tomorrow's Faculty prepares Teaching Assistants (TAs) at the College of Information and Computer Sciences to fulfill their duties in an effective and pedagogically sound manner. The two credit (not repeatable) course is semester long and taken by all TAs prior to assuming assistantship.

Not available at this time

Advanced Topics in Computer Science Master's Project: Advanced research project in Computer Science.

Advanced Topics in Computer Science Master's Project: Advanced research project in Computer Science.

Advanced Topics in Computer Science Master's Project: Advanced research project in Computer Science.