B.E. (Biomedical Engineering) Data Analysis in Healthcare Abbreviated As DAH Syllabus - Mumbai University
This is the Third Year Biomedical Rev 2019 C Scheme syllabus under REV-2019 'C' Scheme, in force from the academic year 2021-22. 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 Data Analysis in Healthcare (Abbreviated as DAH)
Module 1
- Descriptive statistics, probability and sampling distributions: Frequency distribution, measures of central tendency, measures of dispersion, basic probability and Bayes theorem, Binomial, Poisson and normal distributions, sampling distributions of sample mean, difference between two sample means, sample proportions and difference between two sample proportions
Module 2
- Estimation: Confidence intervals for population mean, difference between two population means, population proportion, difference between two population proportions, t-distribution, variance of normally distributed population, ratio of variances of two normally distributed populations, determination of sample size for estimating mean and proportions
Module 3
- Hypothesis testing: Type – I and II errors, hypothesis testing for population mean, difference between two population means, population proportions, difference between two population proportions, population variance and ratio of two population variances, power of test
Module 4
- Analysis of variance: Completely randomized design, randomized complete block design, repeated measures design, factorial experiment, regression and correlation, simple linear regression, correlation model, correlation coefficient, multiple regression, multiple correlation
Module 5
- Chi square distribution and analysis of frequency: Chi-square distribution and properties, test of goodness of fit, independence and homogeneity of data
Module 6
- Non-parametric analysis: Distribution free tests such as one sample sign test, rank sun test, Mann-Whitney U-test, Kruskal-Wallis test, cluster analysis, data mining methods
Text Books
- 1 Biostatistics – A foundation for analysis in health sciences by Wayne W. Daniel, Seventh edition, Wiley India
- 2 Fundamentals of mathematical statistics by S. C. Gupta and V. K. Kapoor, second edition, Sultan Chand Publisher
- 3 Probability and statistics for engineers by J. Ravichandran, Wiley /India
- 4 Research Methodology Methods and Techniques by C. R Kothari and Gaurav Garg, Fourth Edition, New Age international publishers. Biostatistics – How it works by Steve selvin, Pearson education
- 2 An Introduction to Biostatistics by Sunder Rao and J. Richard, Third Edition, Prentice Hall of India
- 3 Probability and Statistics by Schaum’s series NPTEL/Swayam Course: Course: Introduction to Data Analytics by Prof. Nandan Sundarsanam – IIT-M and Prof. B. Ravindran – IIT-M https://nptel.ac.in/noc/courses/noc16/SEM2/noc16-mg06/ University of Mumbai, Biomedical Engineering, Rev 2021-22 49 Data analytics with Python by Prof. A. Ramesh - IIT Roorkee https://nptel.ac.in/courses/106/107/106107220/
Reproduced from the University of Mumbai syllabus for B.E. (Biomedical Engineering) under REV-2019 'C' Scheme, in force from the academic year 2021-22. Wording is as printed in that syllabus. Module numbering is as printed there too.
The complete syllabus
This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.