Dr. Omolola Ogunyemi
Dr. Qing Zeng
Dr. Aziz Boxwala
This course introduces abstraction as an important mechanism for problem decomposition and solution formulation in the biomedical domain, and examines computer representation, storage, retrieval, and manipulation of biomedical data. As part of the course, we will briefly examine the effect of programming paradigm choice on problem-solving approaches, and introduce data structures and algorithms. We will also examine knowledge representation schemes for capturing biomedical domain complexity and principles of data modeling for efficient storage and retrieval. The final project involves building a medical information system that encompasses the different concepts taught in the course.
Computer science basics covered in the first part of the course are integral to understanding topics covered in the latter part, and for completing the assigned homework.
Ogunyemi, Omolola, Qing Zeng, and Aziz Boxwala. HST.952 Computing for Biomedical Scientists, Fall 2002. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/health-sciences-and-technology/hst-952-computing-for-biomedical-scientists-fall-2002 (Accessed). License: Creative Commons BY-NC-SA