Modern Dance technique after the Humphrey/Limon style. Floor work, center and locomotor exercises geared to enhance the student's strength, coordination, balance, flexibility, spatial awareness, rhythmic understanding and dynamics of movement. Attention is given to isolated movements and full combinations across the floor.

Modern Dance technique after the Humphrey/Limon style. Floor work, center and locomotor exercises geared to enhance the student's strength, coordination, balance, flexibility, spatial awareness, rhythmic understanding and dynamics of movement. Attention is given to isolated movements and full combinations across the floor.

This course offers premium career and advising services as an optional extra for students enrolled in the online M.S. DACSS, who would like the full student experience associated with an in-person degree. This includes dedicated career counseling and faculty advising (minimum 2 meetings with your assigned faculty advisor) plus access to skills and career workshops and recruiting events. Students may enroll multiple times (once each semester of enrollment in the DACSS degree program).

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.

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 one 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.