The course covers the basic data representation and processing constructs necessary to problem solving using computers. This includes the development of algorithmic solutions to data processing problem through the use of workflow concepts such as sequence, selection, and iteration. In addition, the course address select fundamental problem solving strategies such as the decomposition of data processing problems into multiple tasks whose functions are coordinated within a specified workflow. Computer simulation and/or implementation tools will be used to provide hands on application of covered concepts using business problem solving examples.
Weekly Contact: Lab:1 hr. Lecture:2 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1
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*List may not include courses that are on a common table shared between programs.