Robotics and machine learning in a core college curriculum

Authors:
Boris Kerkez
Affiliations:
Ashland University, Ashland, Ohio
Venue:
Journal of Computing Sciences in Colleges
Year:
2008

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Abstract

In recent years, there has been an increase of interest in Robotics and Machine Learning in our society. Since the early days of industrial robotics, robots have been introduced to numerous areas of our everyday lives, ranging from robots in medicine and space exploration, to robots for household tasks and early childhood learning systems. While robotics and machine learning courses are not new in the college curriculum, such courses often require significant expertise and are mostly tailored to advanced Computer Science and Engineering majors. In this paper, we describe the Robotics and Machine Learning course for non-science majors, which is also a part of our core natural science college curriculum. We begin by describing the need for such a course in a core college curriculum, describing the course in its current form, and presenting the results, including student evaluations, which demonstrate its effectiveness.