Search

• PSYC 481: Special Topic

  1.00 - 4.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Offered on an experimental or temporary basis to explore topics 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 offered primarily for upper-level undergraduate students.
  SharePSYC 481 - Special Topic

• 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 director and two faculty readers/committee members.
  SharePSYC 483 - Psychology Honors Thesis

• 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. Prerequisite:    ( PSYC 101 or PC 101 )
  SharePSYC 493 - Psychology Practicum

• 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. Explains the context of modern public health systems, major approaches to analyzing and understanding human health patterns, and the structure of public health systems in the United States.
  SharePUBH 122 - Foundations of Public Health

• PUBH 281: Special Topics

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Offered on an experimental or temporary basis to explore topics 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 281 are offered primarily for lower-level undergraduate students.
  SharePUBH 281 - Special Topics

• PUBH 306: Rsrch Dsgn & Analys-Public Hth

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Introduces methodological and ethical research principles in public health. Includes study designs, data collection, human subjects protection, quantitative and qualitative approaches, program evaluation, and community-based participatory research applications. Applies relevant case studies to emphasize research methods used, such as hypothesis generation and testing, study design, data collection and analysis, searching and critically evaluating research literature, identifying strengths and weaknesses of research studies, and drawing conclusions from research evidence.
  SharePUBH 306 - Rsrch Dsgn & Analys-Public Hth

• PUBH 482: Independent Study

  1.00 - 3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Independent Study
  SharePUBH 482 - Independent Study

• PUBH 493: Internship in Public Health

  3.00 - 6.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  A capstone opportunity for students to analyze and apply public health theories/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.
  SharePUBH 493 - Internship in Public Health

• QBUS 215: Business Statistics

  3.00 Credits

  Indiana University of Pennsylvania-Main Campus

  
  Expands on the probabilistic concepts developed in MATH 214 to orient the student toward managerial decision making using quantitative methodologies. Topics include classical regression analysis, forecasting, Bayesian decision theory, linear programming, and simulation. Prerequisite:    ( MATH 121 or MA 121 ) and ( MATH 214 or MA 214 )
  ShareQBUS 215 - Business Statistics

• 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 skills based on building real analytic applications on a variety of real data, including big data, unstructured data, and textual data. Skills include accessing and transferring data, applying various analytical frameworks, applying methods from machine learning and data mining, conducting large-scale rigorous evaluations with business goals in mind, and visualizing data analytic results. Prerequisite:    QBUS 215
  ShareQBUS 450 - Data Science for Business