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McKelvey School of Engineering

Naïve Bayes Classifiers & Competency-Based Computing Education

Wednesday, January 18 | 11:30 AM

McKelvey Hall, 1020

Kian L. Pokorny, Ph.D.

This talk presents Naïve Bayes Classifiers as a vehicle to demonstrate competency-based computing education. The ACM’s Computing Curricula 2020: Paradigms for Global Computing Education (CC2020) provides the description of competency as:

Competency = [Knowledge + Skills + Dispositions] in Task.

The Knowledge component is the “know what”, or factual understanding of the topics. Skills is the “know how”. It is the component that encompasses the capability of applying knowledge to accomplish a task.  Skills development requires time and engagement in higher-order cognitive processes.  The Dispositions component is the “know why”. Dispositions connect the application of knowledge and skill to the context of where and why it is applied. Finally, Task frames the skilled application of knowledge and makes dispositions concrete. Tasks provide a setting where individuals moderate their choices, actions, and effort to pursue and succeed in an efficient and effective manner.  Dr. Pokorny will discuss these components of competency in a sophomore level class presentation of the Naïve Bayes Classifier.

Event Type

Lectures & Presentations

Schools

McKelvey School of Engineering

Topic

Science & Technology

Department
Computer Science & Engineering
Event Contact

myrna@wustl.edu

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