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• PSYC 480: Honors Seminar in Psychology

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  A seminar in the graduate tradition with a specialized topic. May be taken more than once to a maximum of 6sh.
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• PSYC 481: Special Topics

  1.00 - 4.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Special Topic courses are offered on an experimental or temporary basis to explore topics that are not included in the established curriculum. A given topic may be offered under any special topic identity no more than three times. Special topics numbered 481 are primarily for upper-level undergraduate students.
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• PSYC 483: Psychology Honors Thesis

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  An intensive, focused study involving independent research culminating in a written thesis approved by a thesis approved by a thesis director and two faculty readers/ committee members. May be taken more than once to a maximum of 6 credits. Prior approval thorugh advisor, faculty member, department chairperson, dean, and Provost's Office. Prerequisite:    Admission to departmental honors program; prior approval through advisor, faculty member, department chairperson, dean, and Provost Office
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• PSYC 493: Psychology Practicum

  1.00 - 12.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Under supervision of psychology department, selected students receive experience in application of psychological techniques. May be taken more than once to a maximum of 12sh.
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• PUBH 122: Foundations of Public Health

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Defines public health, and its origins and foundations as a field of inquiry. Covers majorapproaches to evaluating and analyzing human health patterns, and the function andstructure of the modern public health system in the United States. Explains the contextof modern public health systems, major approaches to analyzing and understandinghuman health patterns, and the structure of public health systems in the United States.
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• PUBH 306: Research Design and Analysis in Public Health

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Introduces methodological and ethical research principles in public health. Includesstudy designs, data collection, human subjects protection, quantitative and qualitativeapproaches, program evaluation, and community-based participatory researchapplications. Applies relevant case studies to emphasize research methods used, such ashypothesis generation and testing, study design, data collection and analysis, searchingand critically evaluating research literature, identifying strengths and weaknesses ofresearch studies and drawing conclusions from research evidence. Prerequisite:    BIOL 301; MATH 216 or 217; PUBH 122
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• PUBH 482: Independent Study

  1.00 - 3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Independent Study
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• PUBH 493: Internship in Public Health

  3.00 - 6.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Provides a capstone opportunity for students to analyze and apply public healththeories/models and research into their specific concentrations and experience the role of the public health professional. Consists of weekly one-hour seminar and weekly mentorship experience with public health professional 120-240 hours. Prerequisite:    PUBH 122, 306; BIOL 301; SOC 442; ECON 360; GEOG/RGPL 316; NURS 410; NURS/ELR 314; NURS 444; Senior level status
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• QBUS 215: Business Statistics

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Expands upon the probabilistic concepts developed in MATH 214 to orient the student toward managerial decision making using quantitative methodologies. Topics covered include classical regression analysis, forecasting, Bayesian decision theory, linear programming, and simulation. Prerequisite:    MATH 214
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• QBUS 450: Data Science for Business

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  An introduction to the practice of data science with a broad set of data analytic skillsbased on building real analytic applications on a variety of real data, including bigdata, unstructured data and textual data. Skills include accessing and transferring data,applying various analytical frameworks, applying methods from machine learning anddata mining, conducting large-scale rigorous evaluations with business goals in mind,and visualizing data analytic results.Prerequsiites: QBUS 215
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