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Nov 15, 2024
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CSCI 2000U – Scientific Data Analysis The principal goal of this course is to build computational skills required for analyzing scientific data in a variety of data formats (e.g. CSV, text, binary, sound, image, etc.). Topics include: automation of data analysis tasks using command-line user interfaces (e.g., the Unix shell); managing code and data using a version control system; modular programming for scientific data analysis; debugging and testing scientific software; plotting data (i.e., two- and three-dimensional graphics). Formerly: Practical Computing for Scientists Credit hours: 3 Lecture hours: 3 Tutorial hours: 1 Prerequisite(s): CSCI 1030U or CSCI 1040U ; MATH 1020U Note(s): This course may be offered in a hybrid format with 1.5 hours of lectures and 1.5 hours online lectures and learning materials. Students will benefit from taking MATH 2015U and MATH 2050U along with this course.
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