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Feb 05, 2025
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EE 5003 - Computational Tools for Engineers
Provides an introduction to computational tools used extensively throughout graduate study in engineering. Topics include array manipulation, matrix computations, computer graphics, and symbolic manipulation. Also covered are programming language constructs and advanced data types. In addition, the course introduces computer-based modeling, simulation, and analysis of dynamic systems. Course concepts are applied to graduate-level engineering problem solving.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Students will be able to define and manipulate arrays in a computational environment.
- Students will be able to develop and debug computer programs.
- Students will be able to generate 2D and 3D plots in a computational environment.
- Students will be able to implement file input and output in a computational environment.
- Students will be able to implement numerical methods and algorithms in a computational environment.
- Students will be able to model, simulate, and analyze dynamic systems in a computational environment.
- Students will be able to perform standard matrix calculations in a computational environment.
- Students will be able to perform symbolic manipulation in a computational environment.
- Students will be able to use computational tools to solve engineering problems at an advanced level.
- Students will be able to utilize advanced data types in a computational environment.
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