HI 5311 Foundations of Health Information Sciences II

Course Type: Foundation
Credit Hours: 3
 
This course assists the student in the area of technical writing, the development of 
scholarly and academic writing abilities. Each student will complete the process of 
generating a written document from topic selection through outlining, drafting, and 
revising. Writing in the field of Biomedical Informatics will be addressed and the genre 
of written discourse in informatics will be explored by the student. The elements of the 
recursive writing process and a review of the technical aspects of writing will also be 
considered. Critical reading, thinking and writing will be emphasized in the course. 
Weekly assignments require writing throughout the course.  A course writing project is 
required such as developing a manuscript for review, submission and possible 
publication. 

Foundations II covers the several types of models and modeling issues that arise in health information science and biomedicine, such as model building, fitting, and validation, and then covers a number of modeling approaches that are of general applicability to a wide range of health information science and biomedicine domains. These include computational, qualitative, quantitative, and logical models. The course is meant to introduce students to these topics in preparation for selected in-depth study in more advanced courses.

Prerequisites

  • Foundations I
  • Basic programming skills (Data Structures and Algorithms or equivalent)
  • Note: programming will be required, but will not be taught in this course
  • Math and probability through first-semester college calculus
  • OR Approval of coordinator.

Additional Information

Course Goals

HI 5311 follows HI5310 (Foundations of Health Informatics I) as the second in a series of three “core” biomedical informatics courses. HI 5311 will be organized around data, information and knowledge as defined in [1]. In contrast to Foundations I, this course is intended for students who will focus their career on some aspect of biomedical informatics or related disciplines. Whenever possible, assignments will leverage systems and/or datasets that are practically significant (e.g., PubMed, publicly available clinical datasets). Thus, the course will help students develop practical skills.