English

Not applicable.

Of all faculties

The student should be able to explain fundamental principles of probability calculus, should know basic terms of data processing and should be oriented in basic knowledge of database systems. Generally, knowledge of mathematics on the level of Bachelor study is required.

up to 30 points from computer exercises (10 points test and 20 points individual project)
up to 70 points from final written exam
The exam is oriented to verification of orientation in terms of computer-aided medical diagnostics and ability to apply basic principles of decision-making in medicine.

The exam from the subject will take place online.

The aim of the course is to inform students about principles of computer-aided diagnostics in medicine using artifficial intelligence and design of simple diagnostics systems used in medicine.
The student will be able to:
- describe basic methods of computer processing of biomedical data,
- explain fundamental terms of computer-aided medical diagnostics,
- describe principle of basic methods for probability decision-making,
- discus advantages and disadvantages of the methods,
- design simple expert systems,
- evaluate quality of decision-making methods based on defined requirements.

Not applicable.

Not applicable.

O’Regan, G. Propositional and Predicate Logic. Springer, Cham 2017. ISBN 978-3-319-64020-4 (CS)
Panesar, A. Machine Learning and AI for Healthcare. Springer, 2019. ISBN 978-1-4842-3799-1 (CS)
Russell, S. J., Norvig, P. Artificial Intelligence: A Modern Approach. Prentice Hall 2010. ISBN 9780136042594. (CS)

Not applicable.