The field of Data Science encompasses methods, processes, and systems that enable the extraction of useful knowledge from data. Foundations of Data Science introduces core data science concepts including computational and inferential thinking, along with core data science skills including computer programming and statistical methods. The course presents these topics in the context of hands-on analysis of real-world data sets, including economic data, document collections, geographical data, and social networks.

An overview of fundamental accounting concepts, so that a company?s balance sheet and income statement may be read and understood. The course will explain how performance is tracked and offer insight into basic financial statement analysis and interpretation of results. The course will also explain how accounting records support internal decision making and walk through some relevant decision scenarios. In addition, the use of accounting records to coordinate and motivate employee action will be demonstrated.

Discover the art and craft of stage management through class work, observation and production exploration. Learn practical techniques for managing theatrical productions in preparation for academic and professional production responsibility.

An introduction to kinesiology with specific applications to dance. We will attend to fundamental principles of human anatomy, biomechanics, motor development, and motor learning. We will establish a working lexicon for articulating musculoskeletal structures involved in simple action sequences. We will define motor learning theories and discuss motor development trajectories, along with illustrations of their dance-specific applications from the scientific literature. Labs will focus on acquiring skill in administering motor development assessments and functional tests.

This course is an introduction to global health from an interdisciplinary perspective. It will examine issues that affect population health the world over and policy recommendations to prevent emerging and re-emerging diseases.

Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)

Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)

Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)

Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)

Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)