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Credit Hours: 2 Effective Term: Fall 2016 SUN#: None AGEC: None |
Credit Breakdown: 2 Lectures Times for Credit: 1 Grading Option: A, B, C, D, F Cross-Listed: |
Measurable Student Learning Outcomes |
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1. (Synthesis Level) Use RungeKutta and EulerCromer numerical integration methods to create realistic simulations of physical phenomena.
2. (Application Level) Use the graphing capabilities of the visual module of Python to characterize the mathematical features of simulations of physical phenomena. 3. (Application Level) Use data acquisition hardware in order to collect information from sensory input and process that data graphically or as the basis of a simulation program. 4. (Analysis Level) Explain the differences between a simulation program and a visualization program, including their relative strengths regarding modeling physical phenomena. 5. (Analysis Level) Analyze the relationships between model and method as they pertain to the simulation environment, physical sciences, and mathematics. 6. (Synthesis Level) Create a physical system simulation from the physical or biological sciences. 7. (Analysis Level) Use Python to analyze statistical information generated from a realistic simulation of physical phenomena and compare them to results from a real-world physical experiment. |
Internal/External Standards Accreditation |
None |