DSC 201: Data Analysis&Visualization

An introduction to data analysis with a focus on visualization. Topics include: visualization of scalar, vector and tensor data; software tools for image, volume and information visualization and analysis; descriptive statistics; time dependent data; data patterns; analyzing propositions, correlations, and spatial relationships. Application of these topics to natural sciences and engineering are discussed. This course will also introduce programming basics including data types, variable declarations, arithmetic expressions, conditional statements, function prototypes, standard libraries, stacks, queues, file processing, structures, unions, unix systems, file systems, and some I/0.

Course information

3.00 credits
Section 01: Undergraduate Lecture
Instructor(s): 

Class: #11215

Wed, Sep 2, 2020 - Tue, Dec 8, 2020

Status: 

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