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Course Description

Efficient computation and modeling are essential for solving complex numerical problems across various fields, including geospatial analysis and machine learning. This course introduces you to Python-based workflows for problem solving, where you will build structured computational pipelines, visualize datasets, and assess numerical algorithms in real-world contexts.

Through hands-on coding projects, you will tackle tasks such as optimization, simulation, and uncertainty analysis, developing practical expertise to solve complex problems in science, engineering, and industry. By course completion, you’ll have the tools to design, implement, and refine reliable solutions for a variety of complex computational tasks.

Faculty Author

David Bindel; Anil Damle

Benefits to the Learner

  • Construct a pipeline for solving continuous numerical problems and performing basic data visualizations
  • Evaluate the effectiveness of numerical methods (e.g., for optimization and integration) for addressing specific problem contexts
  • Select and apply numerical algorithms to design computational simulations that address complex real-world problems

Target Audience

  • Software engineers building AI-powered applications
  • Data analysts and scientists working with large-scale datasets
  • Engineers applying computational methods to complex systems
  • Web and frontend developers integrating machine learning features
  • Computational biologists and scientific researchers modeling real-world phenomena Investment managers leveraging quantitative analysis
  • Game developers optimizing physics engines and AI behaviors
  • Anyone in a technical role seeking to strengthen their mathematical foundation for AI and machine learning

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
2 week
Dates
Nov 18, 2026 to Dec 01, 2026
Total Number of Hours
20.0
Course Fee(s)
Standard Price $999.00
Type
2 week
Dates
Feb 10, 2027 to Feb 23, 2027
Total Number of Hours
20.0
Course Fee(s)
Standard Price $999.00
Type
2 week
Dates
May 05, 2027 to May 18, 2027
Total Number of Hours
20.0
Course Fee(s)
Standard Price $999.00
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