CHEN 5802: Applied Machine Learning in Chemical Engineering and Materials Science

3 Credits

Machine learning is an increasingly prominent tool used by engineers to aid in the design and characterization of materials and molecules. This course will introduce advanced undergraduates and graduate students to fundamental concepts and practical skills that enable the application of machine learning to these problems. These concepts and skills will be contextualized with examples of recent advances at the intersection of chemical engineering, materials science, and machine learning.

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All Instructors

A- Average (3.714)Most Common: A (50%)

This total also includes data from semesters with unknown instructors.

14 students
FDCBA
  • 4.77

    /5

    Recommend
  • 4.46

    /5

    Effort
  • 4.62

    /5

    Understanding
  • 4.46

    /5

    Interesting
  • 4.38

    /5

    Activities


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