Infopaket

Mathematical Methods of Diagnostics Data Processing

ОК .07

Обов’язкова дисципліна для ОП

Second

2022/2023

2 Semester

3

Student should know essentials of data analysis approaches. Student should be able to apply modern data analysis approaches for analysis of medical diagnostic data.

Full-time form

Relays on knowledge obtained in bachelor program courses

Review of mathematical methods for data pre-procession and mining, integral transforms, statistics, optimization methods, parameters estimation, taxonomy, artificial intelligence with accent on application in medical diagnostic data analysis

1 S. Lawrence Marple Jr. Digital Spectral Analysis: Second Edition Dover Publications; Second edition (March 20, 2019) – 432 p. 2 Jeff M. Phillips Mathematical Foundations for Data Analysis Springer; 1st ed. 2021 edition (March 30, 2021) – 304 p 3 Trevor Hastie,J H Friedman,Robert Tibshirani The elements of statistical learning: data mining, inference, and prediction - Springer, 2009 – 745 p 4 J. Rice . Mathematical statistics and data analysis – Duxbury press – 1995 – 672 p 5 The R Project for Statistical Computing https://www.r-project.org/ 6 GNU Octave - Scientific Programming Language https://octave.org/ 7 An end-to-end machine learning platform https://www.tensorflow.org/

Lectures 30 hours

Semester score: two modules with written tests up to 40 points, individual tasks up to 40 points. Maximum semester score 80 points Final score: written exam with up to 40 points. Minimum graduate score 60 points. Maximum graduate score 100 points. If more then 70 points were obtained during the semester additional 20 point may be given without written exam.

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