Prerequisite: 1 course with a minimum grade of C- from (INST201, INST301); and minimum grade of C- in INST126, INST327, STAT100, MATH115, and PSYC100; and 1 course with a minimum grade of C- from (INST326, CMSC131). Restriction: Must be in Information Science program. Examines approaches to locating, acquiring, manipulating, and disseminating data. Imperfection, biases, and other problems in data are examined, and methods for identifying and correcting such problems are introduced. The course covers other topics such as automated collection of large data sets, and extracting, transforming, and reformatting a variety of data and file types.
Average rating: 4.80
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Average GPA: 3.26 between 452 students
Average GPA: 3.29 between 564 students
"W"s are considered to be 0.0 quality points. "Other" grades are not factored into the average GPA calculation.