Nutrition Courses in Mumbai University

Can you provide me the Syllabus of Semester I & Semester II of M.Sc. (Home Science) Branch IA: Foods Nutrition and Dietetics offered by University of Mumbai?

[shikha]

The Syllabus of Semester I & Semester II of M.Sc. (Home Science) Branch IA: Foods Nutrition and Dietetics offered by University of Mumbai is as follows:

PSHSIA101 Research Methods and Statistics

UNIT I 1.A. Introduction and Overview
(a) What is a research?
(b) Objectivity and subjectivity in scientific inquiry: Premodernism, modernism,
and postmodernism
(c) Steps in the research process
(d) Importance of research in general, and in each discipline
(e) Illustration of research in each of the three specialisations: Foods, Nutrition,
and Dietetics; Human Development; and, Textile and Fashion Technology
(f) Qualitative versus quantitative research
1.B. The beginning steps in the research process
(a) Identifying broad areas of research in a discipline
(b) Identifying interest areas; using multiple search strategies
(c) Prioritising topics; specifying a topic; feasibility
(d) Review of literature/scholarly argument in support of study
(e) Specifying research objectives/hypotheses/questions

UNIT I 1.A. Introduction and Overview
(a) What is a research?
(b) Objectivity and subjectivity in scientific inquiry: Premodernism, modernism,
and postmodernism
(c) Steps in the research process
(d) Importance of research in general, and in each discipline
(e) Illustration of research in each of the three specialisations: Foods, Nutrition,
and Dietetics; Human Development; and, Textile and Fashion Technology
(f) Qualitative versus quantitative research
1.B. The beginning steps in the research process
(a) Identifying broad areas of research in a discipline
(b) Identifying interest areas; using multiple search strategies
(c) Prioritising topics; specifying a topic; feasibility
(d) Review of literature/scholarly argument in support of study
(e) Specifying research objectives/hypotheses/questions

UNIT III 3. A. Introduction and overview to statistics
(a) Role of statistics in (quantitative) research
(b) Definition/changing conceptions
(c) Prerequisite concepts in mathematics (e.g., properties of the summation
sign, basic algebra)
3 B. Descriptive Statistics for summarizing ratio level variables
(a) Frequencies and percentages
(b) Computing an average/measure of a central tendency
Mean, median, mode(s)
Contrasting the mean vs. median
Computing an average when there are outliers or extreme values in
the data set
Robust measures of the center (5% trimmed mean; M estimators)
Quartiles and percentiles
(d) Computing a measure of variability or dispersion
Why? (inadequacy of the mean)
Minimum value and maximum value
Range
Interquartile range
Variance and standard deviation
(e) Discrete and continuous variables
(f) Histograms and line graphs

UNIT IV 4 A. Descriptive Statistics for summarizing nominal, ordinal and interval level
variables
4 B. Demonstration of computer software such as the Statistical Package for
the Social Sciences (SPSS)
(a) Data entry
(b) Data Management
(c) Descriptive Statistics
4. C. Probability: Foundation of Advanced/Inferential Statistics
(a) Definition
(b) Role of probability in research and statistics
(c) Elementary concepts in probability
Sample space, experiment, event/outcome/element of the sample
space
Equally likely outcomes and the uniform probability model
Stabilization of the relative frequency