Faculty of Technical Sciences

Subject: Selected Chapters in Modeling and Optimization Methods for Medical Data (17.DBMI21)

General information:
 
Category Scientific-professional
Scientific or art field Biomedicinsko inženjerstvo
ECTS 10

The objective of the course is to enable students to actively study the scientific literature and participate in the study research work in the field of machine learning in medicine and healthcare.

The student is able to actively study the scientific literature and conduct the study research work in the field of machine learning in medicine and healthcare.

Linear and quadratic classification, Non-parametric (distribution free) classification, Overfitting and cross validation, Feature Extraction and Selection, Cluster analysis, Deep learning Algorithms. A part of the course work is conducted through independent individual study and research work in the field of Nonlinear Control Systems. The research study work requires the student`s active and constant interest in and reading of the primary scientific resources, the organisation and conducting of experiments, numerical simulations and, optionally, writing a paper in the field of machine learning in medicine and healthcare.

Lectures, seminar paper, tutorial work. Research study work.

Authors Title Year Publisher Language
Course activity Pre-examination Obligations Number of points
Term paper Yes Yes 40.00
Oral part of the exam No Yes 60.00
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Prof. Jeličić Zoran

Full Professor

Lectures

Prof. Ilić Vojin

Full Professor

Lectures

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

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© 2024. Faculty of Technical Sciences.