Syllabus
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Course Code: MMB-401 Course Name: Biostatistics and Computers |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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| 1 | Introduction to computer: Classification of computers –computer generation-low, medium and high level languages. Block Diagram of a computer; Description of each block in detail; concept of input-output devices; compilers and interpreters, mini, main frame and super computer, their characteristics and applications. BIT, BYTE. Concept of Memory: Types of Memory; Concept of Central processing Unit (CPU), Control Unit (CU), and Arithmetic Logic Unit (ALU). Data representation and storage –binary codes, binary systems and its relationship to Boolean Operations. Different numbers systems and conversions. Secondary storage media. |
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| 2 | Word Basics : – Formatting Text and Documents : Auto format, Line spacing, Margins, Borders and Shading, etc. Microsoft excel: Data entry, graphs, aggregate functions- formulations and functions (students are expected to be familiar with all operations). Operating system basics : Overview, The purpose of operating systems, Types of operating systems, Providing a user interface, Running programs, Managing hardware, Enhancing an OS utility software. Networking Basics : Overview, Sharing data anywhere, anytime, The uses of a network, Common types of networks, Hybrid networks, How networks are structured, Network topologies and protocols, Network media, Network hardware. Internet: How internet works? Significance. |
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| 3 | Biostatistics: Statistics, its meaning and objectives .Population samples, frequency tables and
their graphs, measures of central tendency (mean, mode, median) and their dispersion. Concepts of moments, Skewness and kurtosis. Intuitive definition of random variables, probability mass function and probability density function, expectation and variance. Standard distribution; binomial, Poisson and normal distribution with their important properties and significance. |
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| 4 | Fitting of main distributions and testing of goodness –of – the –fit with special reference to χ2- test, t –test, Z-test. Fitting of trends; linear and quadratic with least square method. Lines of regression, coefficient of correlation, coefficient of variation and their significance. Analysis of variance; one way and two way classification. Brief exposure of three basic principles of design of experiments, treatment, plot and block. Text and Reference Books: 1. Rosne B. Fundamentals of Biostatistics, Cengage Learning. 2. Zar JH. Biostatistical Analysis, Pearson Education 5th ed. 3. Campbell RC .Statistics for Biologists, Cambridge university press. 4. Daniel WW. Biostatistics: A Foundation for Analysis in Health Science, 6th ed., John Wiley 5. Snedecar GW & Cochram WG. Statistical Methods, Oxford Press. 6. White Ron .How Computers Work? Techmedia. |
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