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  • SPMG 4840: PROBLEM SOLVING IN SPORT/RECRE

    3.00 Credits
    Robert Morris University

    This course is a discussion-based approach to developing skills necessary for analyzing problems related to the management of today's sport or recreation organizations. Students will prepare a series of assigned case analyses and a comprehensive research paper on a topic of their choice. Class readings, discussions, cases, and research assignments will all examine the adaptation of fundamental business principles in the specialized sport setting. Prerequisites: SPMG3401, SPMG3402 and 90 credits
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  • STAT 1130: STATISTICAL REASONING

    3.00 Credits
    Robert Morris University

    This is an online statistics course for ACE students. It provides an introduction to the application of non-theoretical statistical methodology in which concepts are explained intuitively and supported by examples. The first part of the course deals with the efficient collection, organization, and description of data, commonly referred to as descriptive statistics. The second part provides a brief introduction to probability concepts, discrete and continuous probability distributions will be discussed. The third part of the course, statistical interference, is the process of drawing conclusions about unknown characteristics of a population. Interval estimation and hypothesis testing for one and two populations will be presented. The last part of the course is predictive statistics; correlation and regression analysis will be used to develop predictions of future values based on historical data. 3 credits
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  • STAT 2110: STATISTICS

    3.00 Credits
    Robert Morris University

    This course is designed to give the student a general understanding of statistical tools as they are used in making decisions. The examples and exercises emphasize interpretation and are drawn from a wide range of actual situations. Excel computer software is used to simplify complex computations. The first section covers analysis decision-making through the use of summarized descriptive data, both ungrouped and grouped. This includes the study of frequency distributions, measures of central tendency and measures of dispersion. This section then deals with decision-making based upon classical hypothesis testing. It includes the study of curve fitting, large and small sample theory, the z distribution and the student's distribution. This coverage provides the student with a working understanding of statistical inference as a guide for judgment and action. The second section deals with more complex situations in decision-making with presentation of analysis of variance and chi-square testing with one and two variables and multiple outcomes of each variable. Excel is employed to handle the more complex calculations. The third section introduces the concepts and theories of correlation and linear regression and how these are used in statistical inference. Prerequisite: MATH1010, MATH1020, MATH1050, or MATH2040
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  • STAT 2125: HONORS STATISTICS

    3.00 Credits
    Robert Morris University

    This course is designed to give the student a general understanding of statistical tools as they are used in making decisions. The examples and exercises emphasize interpretation and are drawn from a wide range of actual situations. Excel computer software is used to simplify complex computations. The first section covers analysis decision-making through the use of summarized descriptive data, both ungrouped and grouped. This includes the study of frequency distributions, measures of central tendency and measures of dispersion. This section then deals with decision-making based upon classical hypothesis testing. It includes the study of curve fitting, large and small sample theory, the z distribution and the student's distribution. This coverage provides the student with a working understanding of statistical inference as a guide for judgment and action. The second section deals with more complex situations in decision-making with presentation of analysis of variance and chi-square testing with one and two variables and multiple outcomes of each variable. Excel is employed to handle the more complex calculations. The third section introduces the concepts and theories of correlation and linear regression and how these are used in statistical inference. Prerequisite: MATH1010, MATH1020, MATH1050, or MATH2040
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  • STAT 3120: STATISTICS II

    3.00 Credits
    Robert Morris University

    This course continues the study of small sample statistical inference and hypothesis testing. Linear regression is introduced, together with Chi-square and an examination of variance techniques necessary to analyze experiments involving several independent variables. Additional topics include Bayesian decision-making theory, time series analysis, seasonal and cyclical trends, and index numbers. Examples and problems are taken from topics pertaining to business experience. Actuarial Science majors may not take QS312 Statistics II for credit toward a B.S. or B.A. degree. Prerequisite: STAT2110 (QS211)
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  • STAT 3140: PROBABILITY/MATH STATISTICS I

    3.00 Credits
    Robert Morris University

    This course is directed to the mathematics major. The course includes basic probability analysis, marginal probability, conditional probability, random variables (both discrete and continuous), expectation, and consideration of special distribution. Both theory and application of methods are emphasized. Software proficiency in word processing is required. Prerequisite: MATH2070 or permission of the instructor
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  • STAT 3150: PROBABILITY/MATH STATISTICS II

    3.00 Credits
    Robert Morris University

    This is directed to the mathematics major. The course includes the theory of estimation, sampling distribution theory, the testing of hypotheses, nonparametric methods of statistical inference, linear statistical models of regression, and analysis of variance. Software proficiency in word processing is required. Prerequisites: STAT3140 and MATH2170
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  • THEA 1011: PRODUCTION I

    1.00 Credits
    Robert Morris University

    Production is a one credit course that is open to any student within the University as an elective. This course is required for all students who choose a concentration in Theatre. Non-majors may repeat the course for up to 3 credit hours while Theatre majors are required to take 6 credit hours. Production includes but is not limited to the following activities: Performance in a departmental production, Stage Management, Set construction/crew, Lighting/Sound, Costuming, Promotions/Publicity, Front of House, and Production Dramaturgy.
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  • THEA 1012: PRODUCTION II

    1.00 Credits
    Robert Morris University

    Production is a one credit course that is open to any student within the University as an elective. This course is required for all students who choose a concentration in Theatre. Non-majors may repeat the course for up to 3 credit hours while Theatre majors are required to take 6 credit hours. Production includes but is not limited to the following activities: Performance in a departmental production, Stage Management, Set construction/crew, Lighting/Sound, Costuming, Promotions/Publicity, Front of House, and Production Dramaturgy.
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  • THEA 1013: PRODUCTION III

    1.00 Credits
    Robert Morris University

    Production is a one credit course that is open to any student within the University as an elective. This course is required for all students who choose a concentration in Theatre. Non-majors may repeat the course for up to 3 credit hours while Theatre majors are required to take 6 credit hours. Production includes but is not limited to the following activities: Performance in a departmental production, Stage Management, Set construction/crew, Lighting/Sound, Costuming, Promotions/Publicity, Front of House, and Production Dramaturgy.
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