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.
Class #3439 Course information
3.00 credits
Section 8101:
In Person
Undergraduate Lecture
Class: #3439
Summer 2025 Second 5-Wk Session
Jul 14, 2025
- Aug 15, 2025
Instructor(s): Bandi, Veda Sahaja
Cost: $1413.00
Status: O
MON TUE WED THU FRI SAT
1:00PM EDT - 4:00PM EDT
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