HNC

Online

£ 856.41 VAT inc.

*Indicative price

Original amount in INR:

₹ 90,000

Description

  • Type

    HNC

  • Methodology

    Online

  • Duration

    1 Year

  • Start date

    Different dates available

  • Online campus

    Yes

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.
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.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About 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.

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

1. ADHAR CARD / PAN CARD
2. EDUCATIONAL DOCUMENTS
3. PASS PORT SIZE PHOTO

P. G in relevant subject

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Subjects

  • GCSE Physics
  • GCSE Mathematics
  • Programming
  • Engineering
  • Technology
  • Project
  • Mathematics
  • Design
  • Networks
  • Artificial Intelligence
  • Software Engineering
  • Management
  • Testing
  • Composition
  • Quality
  • Cooking
  • Quality Training
  • Food Science
  • Research Design
  • Sampling Theory
  • Measure of Central tendency
  • Statistics in Research
  • Importance and Meaning of research
  • Review of Literature
  • Important Non
  • Information Marketing Plan
  • Marketing for information Professional

Course programme

RESEARCH METHODOLOGY THEORY AND TECHNIQUES MPCS 101 (Bio Technology, Biochemistry, Botany, Chemistry, Commerce, Computer Science, Corporate Secretaryship, Education, Education, Electronics, Information Technology, Microbiology, Home Science, Hotel Management, Hotel Management, Library Science, Management, Physics, Population Studies, Psychology, Public Administration, Sociology, Tourism Management, Zoology) 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. HypoDissertation – Fundamentals of HypoDissertation 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 ADVANCED COMPUTER TECHNIQUES MPCS 102 (Computer Science, Computer Application, Information Technology, Computer Technology and Software Engineering) Unit – I Theory of Programming: Languages Programming Language : Introduction, Characteristics, Uses –Programming Language Processor – Hierarchies of Computers – Data - Elementary data types – Structured data types – expression – statements – procedures – functions – data control and storage management – data abstraction – exception handling – data encapsulation – theoretical models. The above features in C, C++, JAVA Unit – II Software Engineering: Introduction to Software Engineering – Software Project Planning – Requirement analysis specification – Software Design- Implementation issues – Software Testing – Verification and Validation – Software maintenance and Reliability. Unit – III Compiler Design: Introduction – Lexical analysis – syntax analysis – types – storage organization – storage allocation – parameter passing – symbol table – language facilities for dynamic storage – allocation – dynamic storage allocation techniques – Intermediate code generation – code generation – code optimization. Unit – IV Artificial Intelligence and Expert Systems: Introduction : Problem Definition – Search Strategies – Characteristics – Game Playing - Knowledge representation – Expert System – Roles of Expert System – Knowledge acquisition, Meta knowledge – Heuristics knowledge – Interface : Backward and forward chaining – Fuzzy reasoning – Learning – Adaptive Learning – Types of Expert System : MYSIN, PIP, INTERNIST, DART, XOON, Expert Systems Shells. Unit – V Neural Networks: Introduction – Humans and computers – Structure of the Brain, Learning in Machine – differences – Pattern Recognition – The Basic Neutron – Perception – Limitation – Multilayer Perception – Organising Networks – Hopfield Networks – Associative Memory. Reference Books: 1.Data Structures and Algorithms by Alfred V. Aho, John E. Hoperoft and D. Ulman, Wesley Publishing Company, 1987. 2. Computer Algorithms by Ellis Horowitz and Sartaj Sahni, Galgotia Publications Pvt. Ltd., 1993. 3. Software Engineering, Concepts by Richard Fairley, Mc. Graw Hill, 1985. 4. Software Engineering : A Practioner’s Approach, Mc. Graw Hill, 1987. 5. Software Engineering by M.L. Shooma, Mc. Graw Hill, 1983. 6. Compiler Principles, techniques and tool by Alfred. V. Aho, Ravi Sethi and Jeffrey D. Ullman, Addison Wesley Publishing Company, 1986. 7. Compiler Construction by William M. Waite and Gerhard Boos, Springer Verlag, New York Inc., 1984. 8. Artificial Intelligence by Elaine Rich – Mc. Graw Hill 9. Principles of Artificial Intelligence by Nildon, N.J. Springer Verlag, 1981. 10. Principles and Case Study by Richard Folrsyth, Champman and Hall 1984. 11. Neural Computing: An Introduction by R. Beale and T. Jackson, Adam Hilger, 1990. 12. Adaptive Pattern Recognition and Neural Networks by Pao. Y.H., Addision Wesley, 1989.

M.PHIL IN COMPUTER SCIENCE

£ 856.41 VAT inc.

*Indicative price

Original amount in INR:

₹ 90,000