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industrial training
professional seminars

Brief Description

Penn State Course Prefix & Number

WF ED 590

Description in Penn State Graduate Programs Bulletin

WF ED 590 FIELD BASED PROJECT IN INDUSTRIAL TRAINING Study of special topics relating to problems, practices, methodologies and special competency needs in industrial training. 1 credits.

According to Programs and Curriculum Policies GCAC-204 Graduate Course Definitions: 500- vs. 800-Level Courses,

A 500–level graduate course builds on advanced undergraduate and/or graduate courses, dealing with the frontiers of knowledge in the field. It is grounded in theories, hypotheses, and methodologies as expounded in current and/or primary literature sources. Synthesis of knowledge and independent analytical work by the student must be demonstrated. Significant interaction among students and with the instructor(s) is expected.

Role in Graduate Program at Penn State

This particular instance of WF ED 590 promotes the development and improvement of skills in R programming. This course is managed though a private Slack team at http://rcolloquium.slack.com to which all students enrolled in WF ED 590 are invited.

Enrollment

There are no course completion prerequisites for enrollment in Industrial Training Professional Seminars.

Period

Enrollment in WF ED 595, Industrial Training Professional Seminars, with Passmore may occur during Fall Semester, Spring Semester, or Summer Session. Use the LionPATH Class Search to search for registration this course.

Delivery Mode

Industrial Training Professional Seminars is a course offered through resident instruction at Penn State that applies web-based instruction. There are episodic face-to-face meetings for the course for demonstrations and programming assistance. The course is project-based.

Generous Support of Instruction by DataCamp

This class is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalized feedback on every exercise.

Instructor of Record

David L. Passmore; use e–mail address, dlp+profsem@psu.edu

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