B Pharmacy 8th Semester Syllabus
Subject | Units Covered | Download |
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Social and Preventive Pharmacy |
Unit 1: Concept of health & disease – definitions, evaluation of public health, disease prevention & control, social causes of disease, social problems of sick. Social & health education – nutrition, balanced diet, vitamin deficiencies, malnutrition & prevention. Sociology & health – socio-cultural factors, urbanization, poverty & health. Hygiene & health – personal hygiene, health care, avoidable habits. Unit 2: Preventive medicine – principles of prevention & control of diseases: cholera, SARS, Ebola, influenza, ARI, malaria, chicken guinea, dengue, filariasis, pneumonia, hypertension, diabetes, cancer, drug addiction & substance abuse. Unit 3: National health programs – objectives, functioning & outcomes: HIV/AIDS control, TB, IDSP, leprosy, mental health, deafness prevention, universal immunization, blindness control, pulse polio. Unit 4: National health intervention – mother & child care, family welfare, tobacco control, malaria prevention, elderly care, social health programs, role of WHO. Unit 5: Community services – rural, urban, school health, PHC functions, rural sanitation, urban health mission, health promotion & education in schools. |
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Biostatistics and Research Methodology |
Unit 1: Introduction – statistics, biostatistics, frequency distribution. Measures of central tendency – mean, median, mode (pharmaceutical examples). Measures of dispersion – range, standard deviation (pharmaceutical problems). Correlation – Karl Pearson coefficient, multiple correlation (pharmaceutical examples). Unit 2: Regression – curve fitting, least squares, multiple regression, standard error. Probability – definition, binomial, normal, Poisson distributions, properties, problems. Sampling – sample, population, large/small sample, null & alternative hypothesis, types of sampling, Type I & II errors, SEM. Parametric tests – t-test (paired/unpaired), ANOVA (one-way, two-way), LSD. Unit 3: Non-parametric tests – Wilcoxon Rank Sum, Mann-Whitney U, Kruskal-Wallis, Friedman. Introduction to research – need, experimental design, plagiarism. Graphs – histogram, pie chart, cubic graph, response surface, contour plot. Methodology design – sample size, study power, report writing, protocol, cohort/observational/experimental studies, clinical trial phases. Unit 4: Blocking & confounding – two-level factorials. Regression modeling – hypothesis testing in simple & multiple regression. Practical components – statistical analysis using Excel, SPSS, MINITAB®, R, design of experiments. Unit 5: Design & analysis of experiments – factorial design (2², 2³), advantages. Response Surface Methodology – central composite design, historical design, optimization techniques. |
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