Medical Expert Systems Med Ele 6th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective II) detail syllabus for Medical Electronics (Med Ele), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (MD8001), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other med ele 6th sem syllabus for be 2017 regulation anna univ you can visit Med Ele 6th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective II subjects do refer to Professional Elective II. The detail syllabus for medical expert systems is as follows.
Course Objective:
The course will focus strongly on expert systems, but will provide scope for the examination of other areas of interest important to course participants. More specifically, the course objectives include:
- To develop informed opinions about the present and past opinion leaders in the artificial intelligence debate.
- To develop a simple, informal expert system by performing an effort of knowledge engineering of a real, human expert.
- To develop a series of Web pages that will serve as a current “state of the art” review of the various AI application areas, areas which may be suggested by the instructor or brought to the course by participants.
- To experience some actual hands-on demonstration software while accomplishing the review of current applications areas in AI.
Unit I
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Unit II
Knowledge Representation
Preposition Logic – Clause form – Predicate logic – Resolution – Inference Rules – Unification -Semantic networks – frames – conceptual dependency – Scripts – knowledge representation using rules – rule based systems.
Unit III
Expert Systems
Expert system architecture – non-production systems architecture- knowledge acquisition and validation – Knowledge system building tools.
Unit IV
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Unit V
Case Study
Study of medical expert systems – MYCIN, EMYCIN – development of medical expert systems -sample Case studies.
Course Outcome:
At the end of the course, the student should be able to:
- Explain the role of Artificial Intelligence, Expert Systems and Decision Models in managerial decision-making.
- Apply, build and modify decision models to solve real problems
- Design and develop Artificial Intelligence Based Decision Support Systems and discuss the role these systems play in the business environment.
- Explain Artificial Intelligence Technique.
- Build a prototype Artificial Intelligence Based Decision Support System.
Text Books:
- Dan W. Patterson, Introduction to Artificial Intelligence and Expert Systems, Prentice Hall of India, Delhi, 2001.
- Watterman. Expert Systems, Mc-Graw Hill, New York, 1991
References:
- George F Luger, Artificial Intelligence, structures and strategies for complex problem solving, Pearson Education Delhi, 2001.
- Elain Rich and Kevin Knight, Artificial Intelligence, 2nd edition, Tata Mc Graw Hill,1993.
- R.D.Lele, Computers in Medicine, Tata McGraw Hill, NewDelhi-1989.
For detail syllabus of all other subjects of BE Med Ele, 2017 regulation do visit Med Ele 6th Sem syllabus for 2017 Regulation.
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