harrisburgu

This course prepares the student for the subsequent components of experiential learning. It develops the depth and range of academic and professional skills in areas such as goal setting, time management, communication, interviewing, and career planning.

A first course in undergraduate fluid mechanics. Topics include introductory vector calculus, hydrostatics, differential relations of fluid flow, control volume analysis, dimensional analysis, potential flow models, laminar and turbulent flow modeling, and the measurement of key fluid flow parameters.

This course takes an applied perspective and provides the statistical tools and analytic thinking techniques needed to: formulate a clear hypothesis, determine the most efficient method to obtain required data, determine and apply the proper statistical techniques to the resulting data, and effectively convey the results to both experts and laypersons.

This course addresses the emerging issues in designing, building, managing, and evaluating advanced data-intensive systems and applications. Data engineering is concerned with the role of data in the design, development, management, and utilization of complex computing/information systems.

This course ensures that the computer science student reaches the level of mathematical maturity necessary for the study of Computer and Information Science. Topics covered draw on current material from the study of graphs, trees, relations, algorithms and models of computation.

This course is a systematic study of programming languages and algorithms organized around the unifying concept of data and code abstraction. Emphasis is placed on ADT-based and object-oriented design, incremental development and testing, and comparison of data structure implementations.