Home | Darpan | Volume 5 | Issue 2 Apr-Jun 2012 | FDP on Research Methodology 14-20th June 2012

FDP on Research Methodology 14-20th June 2012

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FDP on Research Methodology 14-20th June 2012

A faculty Development Program (FDP) was conducted at the Institute.

 

Prof.  Sumit Zokarkar explained about Excel from Basic to advance. He covered the following topics in the FDP:

14.06.12: How to merge cells, wrap text, shrink cells, use format printer, insert and delete rows and columns, how to use text to column, inserting comment, protecting sheet, track changes, how to fit smart art in cells, how to open watch window, overcoming duplication etc.  

15.06.12: The following was explained: View Menu, Split arrange, conditional formatting, sorting, multiple level, function of sum, lower case, upper case, freeze spanes, copy sheet, paste special etc.  

From 16-19June, 2012, he explained on how to calculate mean, mode, median, standard deviation, correlation, regression on excel sheet

20.06.12: Doubt clearing session and Test on Excel.

Prof. Aditi Naidu: 14.06.12: She said that the case method of analysis is a learning tool in which students and Instructors participate in direct discussion of case studies, as opposed to the lecture method, where the Instructor speaks and students listen and take notes. In the case method, students teach themselves, with the Instructor being an active guide, rather than just a talking head delivering content. The focus is on students learning through their joint, co-operative effort Cases come in many shapes and sizes from a simple "What would you do in this situation?" question to an elaborate role-playing scenario in which students must resolve a complex questions based on real-world data and documents. How simple or elaborate a case is depends on what you want your students to be able to do in the course.

She gave various steps to case analysis:

Step 1: Get a general impression 

Step 2: Start to analyze seriously 

Step 3: Develop and Evaluate Strategic Options 

Step 4: Justify your conclusions with reference to the case 

Step 5: Present a balanced view 

15.06.12: She explained how to manage the preliminary part of the research, how to define a problem, how to list the information etc. then after she took three activities and made the session open to all. The three activities were based on Marketing, HR, and a general management issue. 

16.06.12: Nominal Scale, Ordinal Scale, Interval Scale, Semantic Differential Scale, Thurstone Scale, Likert Scale, Thurstone Scale, Constant sum, steps in designing questionnaire.

15.06.12: Prof. Durgesh Gaur:

 He focused on the Pre-colonial period, Pre-liberalization period, Post-liberalization period, Industry and services, Textile, Tourism, Mining, Agriculture, Banking and finance, Energy and power, Infrastructure, External trade and investment, foreign direct investment, Currency, Income and consumption, Employment, Economic trends and issues, Agriculture, Corruption, Education, Infrastructure and Economic disparities.  The economy of India is the eleventh largest in the world by nominal GDP and the third largest by purchasing power parity. After the independence-era Indian economy was inspired by the Soviet model of economic development, with a large public sector, high import duties combined with interventionist policies, leading to massive inefficiencies and widespread corruption. 

Prajapita Brahmakumari Madhuri Ben

She told about the skills for better relations and said that man is not an island but a social being. There are 3 basic ways to solve human relation problem:

Change the situation, change others and change yourself

She stressed on being positive and to listen to others with love, respect and heart. It is important to involve others in decision making, to learn to forgive and forget, appreciating the slightest improvement and inspiring people to feel happy to do things. 

18.06.12: Dr. Pawan Patni: Team work: Teamwork can lead to better decisions, products, or services. 

The quality of teamwork may be measured by analyzing the following six components of collaboration among team members: communication, coordination, balance of member contributions, mutual support, effort, and cohesion. In one study, teamwork quality as measured in this manner correlated with team performance in the areas of effectiveness (i.e., producing high quality work) and efficiency (i.e., meeting schedules and budgets). 

19.06.12:  Prof. Anish Patel: 

We use statistics such as the mean, median and mode to obtain information about a population from our sample set of observed values. 

Mean: He explained that the mean (or average) of a set of data values is the sum of all of the data values divided by the number of data values and how can it be applied in research. 

Median: He said that median of a set of data values is the middle value of the data set when it has been arranged in ascending order i.e. from the smallest value to the highest value and also explained its application in research. 

Mode: The mode of a set of data values is the value(s) that occurs most often.  The mode has applications in printing.  For example, it is important to print more of the most popular books; because printing different books in equal numbers would cause a shortage of some books and an oversupply of others.

Likewise, the mode has applications in manufacturing.  For example, it is important to manufacture more of the most popular shoes; because manufacturing different shoes in equal numbers would cause a shortage of some shoes and an oversupply of others.

20.06.12: Prof. Anish Patel: Standard Deviation: In statistics and probability theory, standard deviation (represented by the symbol σ) shows how much variation or "dispersion" exists from the average (mean, or expected value). Correlation coefficient may refer to Pearson product-moment correlation coefficient, also known as r, R, or Pearson's r, a measure of the strength and direction of the linear relationship between two variables that is defined in terms of the (sample) covariance of the variables divided by their (sample) standard deviations. 

 

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