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Course Criteria
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3.00 Credits
Historical overview of the impact and interplay of class, race, and gender on shaping U.S. labor markets, organizations, and policies. Examines union responses and strategies for addressing class, race, and gender issues.
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1.00 - 3.00 Credits
Advanced courses in areas described under L290.
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3.00 Credits
Labor movements and labor relations in industrial societies from historical, analytical, and comparative perspectives. Emphasis on interaction between unions and political organizations, national labor policies, the resolution of workplace problems, the organization of white collar employees, and the issues of workers' control and codetermination.
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1.00 - 6.00 Credits
Application of knowledge gained in the classroom in fieldwork experience.
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3.00 Credits
Study of research design, methods, techniques, and procedures applicable to research problems in labor studies.
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3.00 Credits
Designed as either a classroom seminar or directed reading. This course addresses current issues, historical developments, and other labor-related concerns. Topics vary each semester.
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1.00 - 3.00 Credits
By arrangement. An advanced course to suit the special and varied needs and interests of individual students. Arrangements with the faculty member might include reading and directed application of prior course work, tutorials, or internships. Competencies assessed through written papers, projects, or reports. Repeatable to a maximum of 6 credit hours.
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1.00 - 15.00 Credits
Advanced seminar in varying topics.
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3.00 Credits
P: one year of high school algebra or MATH M007. The course serves as an introduction to statistical tools and spreadsheets or statistical packages used in everyday teaching practice. The emphasis is on understanding real-life applications of graphs of data, measures of central tendency, variation, probability, normal distributions, confidence intervals, hypothesis testing, and sampling. (Fall)
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3.00 Credits
P: at least a C in MATH M014 or equivalent. R: MATH M118. An introduction to statistics. Nature of statistical data. Ordering and manipulation of data. Measures of central tendency and dispersion. Elementary probability. Concepts of statistical inference and decision, estimation, and hypothesis testing. Special topics discussed may include regression and correlation, analysis of variance, nonparametric methods. (Occasionally)
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