Dec 22, 2024  
2019-2020 Undergraduate Academic Catalog 
    
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2019-2020 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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CS 2300 - Computational Science

3 lecture hours 2 lab hours 4 credits
Course Description
An introduction to the science of computation and data including tools, languages, and methods to support artificial intelligence.  Topics include applying the scientific method for data-driven computational problems, analysis, data preparation, and visualization.  (prereq: CS 1021 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Learn and apply the scientific method to data analysis and inference
  • Clean and manage data using functional programming libraries such as pandas
  • Use matrices and software libraries to structure data for analysis and manipulation
  • Manipulate models of real-world problems based on data
  • Predict the runtime and memory utilization of algorithms based on complexity analysis methods
  • Communicate data interpretations including generating meaningful data visualizations
Prerequisites by Topic
  • None
Coordinator
Dr. Derek Riley


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