140.662.02 | AY 2013-2014 - 3rd Term | 3 Credit(s)
TTh 3:30:00 PM
  • Contact Information
  • Course Learning Objectives

    Upon successfully completing this course, students will be able to:

    • conduct GIS spatial analysis by inputting, manipulating, querying, and displaying spatial data with use of the ArcGIS software;
    • perform Geocoding and create appropriate maps for the different types of spatial data;
    • identify the key differences between a GIS spatial analysis and a spatial statistical analysis.
  • Course Description

    Examines the use of Arc View Geographic Information System (GIS) software as a tool for integrating, manipulating, and displaying public health­-related spatial data. Topics covered include mapping, geocoding, and manipulations related to data structures and topology. Uses selected case studies to demonstrate concepts. Focuses on using GIS to generate and refine hypotheses about public health­-related spatial data in reparation for a formal statistical analysis. Although spatial statistical modeling is not a required part of the curriculum, related topics are discussed throughout. Includes both lecture and lab formats with GIS concepts and software specific details demonstrated during the lab portions.

  • Intended Audience

    Quantitatively-oriented students seeking instruction in spatial analysis and GIS

  • Methods of Assessment

    Grading Policy: Method of student evaluation based on assignments and an exam

    Grading Restrictions: Letter grade

  • Prerequisites

    140.611-612 or statistical equivalent

  • Academic Ethics Code

    The code, discussed in the Policy and Procedure Memorandum for Students, March 31, 2002, will be adhered to in this class:

    Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.

  • Disability Support Services

    If you are a student with a documented disability who requires an academic accommodation, please contact Betty H. Addison in the Office of Student Life Services:, 410-955-3034, or 2017 E. Monument Street.