The following lists describe past and present MIT
courses taught by CDM Members and Affiliates.
See also the information on the CDM training
In reverse chronological order:
- 6.872/HST.950--Medical Computing (Spring 2003)
6.873/HST.951--Medical Decision Support (Spring 2003)
Artificial Intelligence (Fall 2002)
Computing (Fall 2002)
Decision Support (Spring 2002)
Intelligence, sections taught by Peter Szolovits (Fall 2001)
Artificial Intelligence This class is open only to HST students,
and presents an introduction to the study of artificial intelligence and its
applications in medicine. The class meets with lectures, recitations, tutorials
and labs of 6.034 and requires students to complete all 6.034 assignments.
HST947 has an additional class meeting each week for discussion of medical
topics, and assigns additional readings and a term paper focusing on medical
topics. Most students who take this class will be in the Medical Informatics
Computing. Analyzes computational needs of clinical medicine
in the age of the genomic revolution and the the cost and time pressures of
the healthcare delivery system. Reviews systems and approaches that have been
used to support those needs, and examines the necessary synergies between
clinical informatics and bioinformatics . Topics: the nature of clinical and
genomic data; architecture and design of healthcare information systems; privacy
and security issues; medical expert systems; biomedical knowledge discovery,
computing support for medical education. Case studies of contemporary systems.
Decision Support. Presents the main concepts of decision analysis,
probabilistic inference, and predictive model construction and evaluation
in the specific context of medical applications. Emphasizes the advantages
and disadvantages of using these methods in real-world systems and provides
hands-on experience. Technical focus on decision analysis, knowledge-based
systems (qualitative and quantitative), learning systems (including logistic
regression, classification trees, neural networks), and techniques to evaluate
the performance of such systems. Students produce a final project using the
methods learned in the subject, based on actual clinical data. (Required for
students in the Master's Program in Medical Informatics, but open to other
graduate students and advanced undergraduates.)
Computing. The now "classic" introduction to medical computing,
with a new emphasis on the handling and analysis of genomic data.
- HST951--Medical Decision Support
emphasizes techniques for decision support in medicine. For bureaucratic reasons,
in 2000 the class has only an HST listing, but still serves as an Engineering
Concentration class for Course VI majors.
Artificial Intelligence This is a new official course for HST
students combining the study of Artificial Intelligence and its applications
in medicine. It meets with 6.034 and has an additional class meeting, readings
and a paper focusing on medical topics. Most students who take this class
will be in the Medical Informatics master's program.
Computing. The former 6.872 bifurcated in 1999 into this class
plus 6.891/HST951, which specializes in medical decision support.
- 6.891/HST951--Medical Decision Support
is a new class first taught in 1999.
- 6.872--Medical Computing is an
introductory graduate-level subject that was taught during Spring term in
1996 and 1998.
- 6.872--Medical Computing,
- 6.001s--Structure and Interpretation
of Computer Programs was a special summer version of MIT's introductory
computer science class, taught for MD's in Summer 1996.
- 6.871--Knowledge Based Applications
Systems is a graduate-level subject taught during the Spring
- 6.893--Medical Computing
is an introductory graduate-level subject taught during Spring term 1995.
Future versions of this class are anticipated.