B.E. (Biomedical Engineering) Artificial Intelligence in Medicine Abbreviated As AIM Syllabus - Mumbai University
This is the Fourth Year Biomedical Rev 2019 C Scheme syllabus under REV-2019 'C' Scheme, in force from the academic year 2022-23. The University has not yet published an NEP 2020 syllabus above Semester IV for this branch, and this is the scheme its examinations are set on.
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Syllabus for Artificial Intelligence in Medicine (Abbreviated as AIM)
Basics of Artificial Intelligent:
- Definition and concept of Artificial Intelligence, stages of AI, intelligent agents in artificial intelligence, foundations of AI and applications, current trends in AI Problem Spaces, and Search: Breadth first search, depth first search techniques, iterative deepening, bidirectional search, best first search, Heuristic search, Hill Climbing, A* Search, Problem reduction and game playing: Introduction, problem reduction, game playing, alphabeta pruning, two-player perfect information games Logic concepts: Introduction, propositional calculus, propositional logic, natural deduction system, axiomatic system, semantic tableau system in proportional logic, resolution refutation in proportional logic, predicate logic Knowledge Representation: Problems in representing knowledge, knowledge representation using propositional and predicate logic, logical consequences, syntax and semantics of an expression, semantic Tableau. Forward and backward reasoning. Proof methods, substitution and unification, conversion to clausal form, normal forms, resolution, refutation, deduction, theorem proving, inferencing, monotonic and non-monotonic reasoning. Expert system and applications: Introduction phases in building expert systems, expert system versus traditional systems, rule-based expert systems blackboard systems truth maintenance systems, application of expert systems AI in Healthcare: Benefits of AI in medicine, AI and Medical visualization, Medical Expert system, Applying AI to EHR Data, Artificial Intelligence in Medical Imaging
Useful Links
- 1 Stuart J. Russell and Peter Norvig, "Artificial Intelligence: A Modern Approach ”, Fourth Edition" Pearson Education, 2020.
- 2 Saroj Kaushik, “ Artificial Intelligence”, Cengage Learning, First edition, 2011
- 3 Itisha Gupta and Garima Nagpal, “Artificial Intelligence and Expert System”, Laxmi Publications, 1st Edition 2018
- 1 Nils J. Nilsson, Principles of Artificial Intelligence, Narosa Publication. University of Mumbai, Biomedical Engineering, Rev 2022-23 75
- 2 Deepak Khemani, A First Course in Artificial Intelligence, McGraw Hill Publication
- 3 Patrick H. Winston, Artificial Intelligence, 3rd edition, Pearson Education.
- 4 Elaine Rich and Kevin Knight, "Artificial Intelligence”, Third Edition, McGraw Hill Education,2017. Theory Examination:
- 1 https://nptel.ac.in/courses/106/105/106105078/
- 2 https://archive.nptel.ac.in/courses/106/105/106105077/#
- 3 https://nptel.ac.in/courses/106/105/106105079/ University of Mumbai, Biomedical Engineering, Rev 2022-23 76
Reproduced from the University of Mumbai syllabus for B.E. (Biomedical Engineering) under REV-2019 'C' Scheme, in force from the academic year 2022-23. Wording is as printed in that syllabus. Module numbering is as printed there too.
The complete syllabus
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