Apr 25, 2024  
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2023-2024 Undergraduate Calendar
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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).
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.
Experiential learning: Yes


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