CS 642/BME 642 - Artificial Intelligence in Medicine

Syllabus for Winter, 2009

Call Number: 07045/07200
Professor: Cindy Marling
Office: Stocker 321-D, Phone: 593-1246, Email: marling@ohio.edu
Office Hours: Mondays, from 10:00 AM to 12:00 PM; Tuesdays and Thursdays, from 11:00 AM to 12:00 PM; or by appointment
Class Time: Tuesdays and Thursdays, from 9:10 to 11:00 AM, in Stocker 187
Prerequisites: (CS 580: Artificial Intelligence and BME 505: Medical Informatics) or CS 680: Advanced Artificial Intelligence
Text Book: There is no required text. References and/or citations to references will be distributed in class.
Home Page: The home page for CS 642/BME 642 on the World Wide Web is:
http://ace.cs.ohiou.edu/~marling/cs642/cs642.html
Be sure to check here for important course information on a regular basis.
Overview: AI in Medicine (AIM) has a rich tradition of developing and employing cutting edge AI approaches in systems that enhance health care. Featured approaches to medical decision making and clinical decision support will be rule-based reasoning, case-based reasoning, Bayesian networks and data mining. This course will enable students who are familiar with AI in general to explore advanced AI topics and the accompanying technical and non-technical issues found in medical domains. As this is a 600-level graduate course, students will be expected to select and present papers from the AIM literature to enhance and individualize course content.
Grading: Midterm Exam (20%)
Final Exam (20%)
Assignments and Presentations (50%)
Participation (10%)
Attendance
Policy:
Attendance is a necessary, but not sufficient, condition for participation in CS 642/BME 642. Absences must be excused in advance. Each unexcused absence will result in a five-point deduction from the ten-point-scale participation grade.
Academic
Dishonesty
Policy:
All work must be the student's own. Proper credit must be given to the authors of all referenced papers, Web pages and AI systems. No credit will be given for duplicate or plagiarized work. Stronger measures, within the guidelines of the Student Handbook, may be taken when conditions warrant. The OU Student Code of Conduct Policy is available online at http://www.ohio.edu/judiciaries/conduct.cfm.
Other Policies: Be sure to notify the professor of any exam conflicts or other extenuating circumstances in advance. No late work will be accepted without prior approval. No missed exams will be made up without prior approval.
Final Exam: Monday, March 16, from 8:00 AM to 10:00 AM