This document provides information about the GEN531 Research Methods and Design course at Lovely Professional University. It includes the university's vision to be a premier academic institution recognized for excellence in teaching, learning, research and entrepreneurship. The mission is outlined as transforming education through rigorous and practical teaching, industry-academic cooperation, impactful research, and developing lifelong learners and global professionals. The document then provides details about the Master of Science in Physics program and course outcomes, content, assessment model, and 6 units that will be covered in the course related to research techniques and tools.

2. GEN531
RESEARCH METHODS
AND DESIGN
Lecture #0

3. University Vision and Mission

4. VISION
To be a premier academic
institution, recognized
internationally for its contribution
to industry and society through
excellence in teaching, learning,
research, internationalization,
entrepreneurship and leadership.

5. MISSION
• To transform education through academic rigor,
practical orientation and outcome-based
teaching.
• To develop and implement a relationship of
cooperation between industry and academia.
• To undertake impactful research addressing
local, national and global challenges.
• To prepare graduates to be lifelong learners
with strong analytical and leadership skills.
• To develop global professionals and
entrepreneurs with innovative spirit, tolerance
and desire to make a difference to the society.

6. Program Information
Program Code: P268-H Program Name: Master of Science (Honours) Physics
This Masters Degree program offered by Lovely Professional University in the School
of Chemical Engineering and Physical Sciences has a minimum duration of 2 years
and is offered under Semester system through Regular mode. It is a Standalone
program based on Credit system.
#The medium of Instruction in this program is English
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7. 7

8. 8

9. Revised Bloom’s Taxonomy

10. Course Outcomes
• CO1 :: understand the basic functions of MS-
Excel, MATLAB and Origin Software.
• CO2 :: apply research techniques and tools to
solve the problems.
• CO3 :: analyze the tools of statistics to be used
in research and development.
• CO4 :: develop technical computing
environment for data analysis and
visualization.

11. 11
What you will study here in this course?
Course Content

12. But how to find the syllabus in UMS ?
• UMS log in >>UMS navigation>>Learning
Management System>>Academic course
syllabus>>syllabus files>>select the session
>>PHY621
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13. Overview of this Course …..
…the learning curve
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14. Reference Books
1. BUSINESS STATISTICS by J K SHARMA, VIKAS PUBLISHING HOUSE
2. RESEARCH METHODOLOGY : METHODS AND TECHNIQUES by C.R.
KOTHARI AND GAURAV GARG, NEW AGE INTERNATIONAL
3. FUNDAMENTALS OF MATHEMATICAL STATISTICS by S C GUPTA,
SULTAN CHAND & SONS (P) LTD.
4. GETTING STARTED WITH MATLAB - A QUICK INTRODUCTION FOR
SCIENTISTS AND ENGINEERS SEVENTH EDITION by RUDRA PRATAP,
OXFORD UNIVERSITY PRESS
5. MODELING AND SIMULATION USING MATLAB - SIMULINK, by DR.
SHAILENDRA JAIN, WILEY
6. APPLIED STATISTICS AND PROBABILITY FOR ENGINEERS by
DOUGLAS C. MONTGOMERY, GEORGE C. RUNGER, WILEY
7. DESIGN AND ANALYSIS OF EXPERIMENTS by DOUGLAS C.
MONTGOMERY, WILEY

15. CA Category of this Course
Code is:A0203
Test -1
Test –open book
Teaching Practise
Weightages:
Attendance: 5
CA: 45
ETT: 50 (Unit I to
VI Subjective)
Assessment
Model
15
L: 4.0 T: 0.0 P: 0.0 Cr:
4.0

16. Unit 1: Basic Introduction to Excel,
Tabulation and Graphical Presentation :
• basic introduction to sheets/workbook-cell, row,
columns, basic operations
• use of all excel options and add-ins
• tabulation and graphical Presentation: discrete
data, continuous data and frequency
distributions, graphs and their presentation,
• diagrammatic and graphical representation of
data: bar diagram, pie-chart, line chart,
histogram, frequency polygon and Ogive curves

18. Unit 2: MATLAB and Origin software
• Introduction to MATLAB software, Elementary
idea of basic calculations and tools
• Use of Origin software for graph plotting and
data analysis

20. Unit 3: Descriptive Statistics
• introduction to types of data-qualitative,
quantitative, ordinal
• measures of central tendency: arithmetic
Mean, average, median and its importance,
• characteristics of an ideal average, measures
of concept of central tendency- mean,
median, mode

22. Unit 4: Methods of bivariate
correlation and regression analysis
• accuracy, precision, coefficient of variance,
detection limit and quantification limit, linear
bivariate regression
• correlation: concept, important, methods,
• methods: scatter diagram, Karl Pearson
coefficient of correlation, Spearman's rank
correlation

24. Unit 5 Sampling Techniques :
• Sampling and sampling Distribution : introduction
to sampling
• types of sampling : random and non random
sampling, concept of factorial design and
response surface analysis
• difference between one factor one approach and
quality by design, concept of design space
• design of experiments
• introduction to sampling distributions

26. Unit 6 Theory of Probability Statistics
:
• probability : definition and its concept,
addition theorem, multiplicative theorem
• probability distribution : concept of
probability distribution
• Binomial distribution
• Normal distribution, concept of dependent
and independent variables