An introductory course on spatial data processing. The emphasis is for students to understand the major phases of the spatial information processing cycle, including selecting an appropriate algorithm, collecting and analyzing data, and presenting the results. Applications of information technology in the fields of geographic information processing and/or bioengineering will be examined. Prerequisites: CS 250 - Algorithms and Problem-Solving II and MATH 212 - Calculus I or instructor’s permission. Grade only.