Date: 09.07.2015 Time: 09:30 am - 4:00 pm
The Department has conducted International Lecture Series on “Quantitative Analysis for Scientific Research”. Dr. Seyed Mohamed Buhari, Faculty of Computing & IT, King Abdulaziz University, Saudi Arabia was the Resource person.
The programme was mainly meant to those involved in teaching at the undergraduate and post-graduate levels, Ph.D. scholars, and research supervisors. The session was of immense use to those who wished to enhance computer based quantitative knowledge in the areas of data analysis and quantitative techniques using statistical packages.
The objective of the Lecture was to provide knowledge about the structure and process of research, and the way in which information was analyzed, which helped the participants to learn and articulate various topics like Probability, Regression, Linear Programming, Markov Analysis, etc., that are widely used for conducting a research study. It also helped in enhancing the knowledge base of using statistical software for interpreting results and utilizing the data for management and business related decisions.
First was a refreshing session on Probability. The various topics that were covered are
2. Decision Analysis.
3. Linear Programming.
4. Integer Linear Programming.
5. Non-Linear Programming.
6. Markov Analysis.
1. Regression Analysis.
The resource person explained the need for Regression analysis and testing (i.e) mapping between dependent and Independent variables using Scatter diagram along with fitting a curve where errors are very minimal in order to obtain optimal solution. He also explained how to deal with huge data by clustering them and the difference between the actual data and predicted data using various formulae and examples using excel. Measuring the fit of the Regression model, types of regression testing such as z, t, paired-t…….etc.
He threw light on Sensitivity Analysis and its impact on the data set, and also emphasized on data validation and pre-processing of data in field of research.
Dr. Seyed explained the co-relation between variables, co-relation co-efficient, co-efficient of determination (r2), mean, mean squared error and also to calculate r2 based on the number of independent variables which is also known as Adjusted r2, ANNOVA tables and also taught how to perform test on the various models for significance by calculating F-statistics, degrees of freedom. Statistical functions such as binomial, Poisson distributions etc…are also explained.
3. During the afternoon session the topic was on linear programming, non-linear programming and ILP the best optimization methods which would yield best outcomes in mathematical models whose requirements were represented using linear relationships. In linear programming he stressed on the objective function, constraints and decision variables one has to focus on with linear regression, finding one or more variables. Sir also mentioned about various techniques and methods to adapt while solving LP problems.
The final discussions were on the role of slack and surplus and its usage, unboundedness and redundancy. Sir said Markov analysis which was specifically applicable to systems that exhibit probabilistic movement from one state to another over time. At the end of the session it was an open forum discussion with the participants from various institutions.
Dr. Seyed Mohamed Buhari, an experienced and expert in quantitative analysis expressed his happiness about the participants’ involvement, dedication and wished everyone to be an knowledge equipped academician and to explore more and more since research is never ending process as new innovations and techniques keeps emerging every day in human lives. The participants were enriched with knowledge. Prof. R. Kumar the Head of Dept. expressed his gratitude with a memento and thanked the resource person and also the participants.
On the whole the seminar deliberated on various quantitative scientific methods for tackling various problems in current business world.
The workshop helped the participants who are pursuing their PHD’s in this field which paved a way for researchers to learn, explore and adapt various new techniques and also to achieve optimization in their proceedings and research activities.
TOTAL NO. OF BENIFICIARIES: 38