Historical survey of art, architecture, and urban development from the Baroque to the present; the social context in which style has developed. Discussion of the same material from a critical and topical point of view. Background for upper-level art history courses; required of majors. (Gen.Ed. AT, G)

Historical survey of art, architecture, and urban development from the Baroque to the present; the social context in which style has developed. Discussion of the same material from a critical and topical point of view. Background for upper-level art history courses; required of majors. (Gen.Ed. AT, G)

Historical survey of art, architecture, and urban development from the Baroque to the present; the social context in which style has developed. Discussion of the same material from a critical and topical point of view. Background for upper-level art history courses; required of majors. (Gen.Ed. AT, G)

Historical survey of art, architecture, and urban development from the Baroque to the present; the social context in which style has developed. Discussion of the same material from a critical and topical point of view. Background for upper-level art history courses; required of majors. (Gen.Ed. AT, G)

Historical survey of art, architecture, and urban development from the Baroque to the present; the social context in which style has developed. Discussion of the same material from a critical and topical point of view. Background for upper-level art history courses; required of majors. (Gen.Ed. AT, G)

This course provides an introduction to Business Intelligence, including the
processes, methodologies, infrastructure, and current practices used to
transform business data into useful information and support business
decision-making. Business Intelligence requires foundation knowledge in
data storage and retrieval, thus this course will review logical data models
for both database management systems and data warehouses. Students will
learn to extract and manipulate data from these systems and assess
security-related issues. Data mining, visualization, and statistical

Provides an introduction to project management, focusing on the integration of business operations and information management, and techniques to effectively manage the implementation of such projects.

This course introduces fundamental concepts and computations for statistical analysis of business data and real-world problems with an emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. The course covers basic descriptive statistical methods, sampling methodology, how to draw inferences from samples to larger populations and how to make predictions based upon historical relationships between variables.