JRD Global EDU


JRD Global EDU

Rs 90,000
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Important information

Typology MPhil
Methodology Online
Duration 1 Year
Start Different dates available
Online campus Yes
  • MPhil
  • Online
  • Duration:
    1 Year
  • Start:
    Different dates available
  • Online campus

The Master of Philosophy (M Phil) is designed to produce skilled professionals for teaching positions in universities, colleges and training institutions. This 18-month long programme also aims to produce managers and consultants for business houses, government, research institutions and other organisations.
To strive towards this end, our mission is to provide every individual with a conducive environment to enable him/her to achieve the career goals before them with a strong emphasis on personality development, and to offer quality education fostering a strong foundation in applied sciences and mathematics without compromising on the quality and code of ethics.

Facilities (1)
Where and when
Starts Location
Different dates available
Starts Different dates available

Frequent Asked Questions

· What are the objectives of this course?

To provide an advanced understanding of Mathematics, English, Physics and Chemistry. To train the students in chronological survey research activities in the field of interest and thereby induce in them the passion for research and development. To provide project training extending into advanced research and hence enabling them to emerge as competent scientists competing at the international level. The selection procedure emphasises academic achievement of the applicant as well as his/her potential for becoming an able management and research specialist. Consequently, a multi-factor selection model incorporating scholastic achievements, work experience, and performance in group discussion/seminar, entrance test and personal interview is used for selecting participants.

· Who is it intended for?

Any student who has passed Masters Degree in a particular subject can pursue M Phil course in the respective subject.

· Requirements


· Qualification

P. G in relevant subject


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What you'll learn on the course

Statistics in Research
Measure of Central tendency
Importance and Meaning of research
Research design
Review of Literature
Sampling theory
Important Non
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Marketing for information Professional

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Course programme

RESEARCH METHODOLOGY THEORY AND TECHNIQUES MPMM 101 UNIT – I Research – Definition – Importance and Meaning of research – Characteristics of research – Types of Research – Steps in research – Identification, Selection and formulation of research problem – Research questions – Research design – Formulation of HypoDissertation – Review of Literature. UNIT – II Sampling techniques: Sampling theory – types of sampling – Steps in sampling – Sampling and Non-sampling error – Sample size – Advantages and limitations of sampling. Collection of Data : Primary Data – Meaning – Data Collection methods – Secondary data – Meaning – Relevances, limitations and cautions. UNIT – III Statistics in Research – Measure of Central tendency – Dispersion – Skewness and Kurtosis in research. Hypo Dissertation – Fundamentals of Hypo Dissertation testing – Standard Error – Point and Interval estimates – Important Non-Parametric tests : Sign, Run, Kruskal – Wallis tests and Mann-Whitney test. UNIT – IV Para metric tests: Testing of significance – mean, Proportion, Variance and Correlation – testing for Significance of difference between means, proportions, variances and correlation coefficient. Chi-square tests – ANOVA – One-way and Two-way UNIT – V Research Report: Types of reports – contents – styles of reporting – Steps in drafting reports – Editing the final draft – Evaluating the final draft. Reference Books: 1. Statistical Methods S.P. Gupta 2. Research Methodology Methods and Techniques C.R. Kothari 3. Statistics (Theory and Practice) B.N. Gupta 4. Research Methodology Methods and Statistical Techniques Santosh Gupta ANALYSIS & DIFFERENTIAL EQUATION MPMM 102 UNIT – I Lebesgue measure: Introduction – Outer measure – Measurable sets & Lebsegue measure – A non-measurable set – Measurable functions – Littlewood’s three principles. UNIT – II The lebsgue integral: Riemann integral – The lebsegue integral of bounded function over a set of finite measure – The integral of a non-negative function – The general lebsgue integral – Convergence in measure. UNIT – III Differentiation & integration Differentiation of monotone functions – Functions of bounded variation – Differentiation of an integrate Absolute continuity – Convert functions. UNIT – IV Differential equations: Introduction equations with constant co-efficient : Introduction – The 2nd order homogenous equation – Initial value problem for second order equations – Linear dependence – A formula for the wornskian – The non-homogeneous equation of order two – The homogenous equation of order ‘n’ – Initial value problem for nth order equations – Equations with real constant. UNIT – V Linear equations with variable co-efficients: Introduction – Initial value problem for the homogenous equation – Solutions of the homogeneous equation – The wronskian and linear independence – Reduction of order of a homogeneous equation – The non-homogeneous equation – The Homogeneous equations with analytic co-efficient – The legendry equation. Reference Books: 1. Real Analysis by H.L. Royden. 3rd edition – Prentice Hall India Publications. 2. An Introduction to 2.Ordinary Differential equations by Earl A. Coddington – Prentice Hall India Pubishers.

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