Workshop

 

   

 

  

 

  

 

  

 

  

 

  

 

  

 

  

 

  

 

  

 

  

 

  

 

  

 

  

 

  

 

  

 AIM:

  

 AIM:

Statistical techniques play an important role in all of the engineering, medical, physical and social sciences. Consequently, a proper understanding of the statistical methods and implementation is necessary to appropriately model outcomes/questions of interest in any applied/experimental settings and make proper inferences. The current workshop aims to introduce the participants to statistical modeling (at an intermediate level), data mining and fitting statistical models to data in real life applications. The choice of software will be R (since it's free) and we hope that post the workshop participants will be utilizing R in their research and teaching activities.

The program will be useful for individuals from academics (early career professors, research scientists, etc.), industry or anyone interested in implementing statistical models to better understand any given data. 

 AIM:

Statistical techniques play an important role in all of the engineering, medical, physical and social sciences. Consequently, a proper understanding of the statistical methods and implementation is necessary to appropriately model outcomes/questions of interest in any applied/experimental settings and make proper inferences. The current workshop aims to introduce the participants to statistical modeling (at an intermediate level), data mining and fitting statistical models to data in real life applications. The choice of software will be R (since it's free) and we hope that post the workshop participants will be utilizing R in their research and teaching activities.

The program will be useful for individuals from academics (early career professors, research scientists, etc.), industry or anyone interested in implementing statistical models to better understand any given data. 

 AIM:

Statistical techniques play an important role in all of the engineering, medical, physical and social sciences. Consequently, a proper understanding of the statistical methods and implementation is necessary to appropriately model outcomes/questions of interest in any applied/experimental settings and make proper inferences. The current workshop aims to introduce the participants to statistical modeling (at an intermediate level), data mining and fitting statistical models to data in real life applications. The choice of software will be R (since it's free) and we hope that post the workshop participants will be utilizing R in their research and teaching activities.

The program will be useful for individuals from academics (early career professors, research scientists, etc.), industry or anyone interested in implementing statistical models to better understand any given data. 

 AIM:

Statistical techniques play an important role in all of the engineering, medical, physical and social sciences. Consequently, a proper understanding of the statistical methods and implementation is necessary to appropriately model outcomes/questions of interest in any applied/experimental settings and make proper inferences. The current workshop aims to introduce the participants to statistical modeling (at an intermediate level), data mining and fitting statistical models to data in real life applications. The choice of software will be R (since it's free) and we hope that post the workshop participants will be utilizing R in their research and teaching activities.

The program will be useful for individuals from academics (early career professors, research scientists, etc.), industry or anyone interested in implementing statistical models to better understand any given data. 

 AIM:

Statistical techniques play an important role in all of the engineering, medical, physical and social sciences. Consequently, a proper understanding of the statistical methods and implementation is necessary to appropriately model outcomes/questions of interest in any applied/experimental settings and make proper inferences. The current workshop aims to introduce the participants to statistical modeling (at an intermediate level), data mining and fitting statistical models to data in real life applications. The choice of software will be R (since it's free) and we hope that post the workshop participants will be utilizing R in their research and teaching activities.

The program will be useful for individuals from academics (early career professors, research scientists, etc.), industry or anyone interested in implementing statistical models to better understand any given data. 

 AIM:

The statistical tools play an important role in the engineering, management, humanities and all allied sciences. Recent advancement in application oriented sciences are compelling the researchers and users for learning and understanding the statistical tools for modelling and analysis of the data arising from their experiments. Realizing the need of the time, the present workshop is aiming to give lectures and training on the Statistical topics and Linear Regression Modelling. The participants will be exposed to the statistical basics, background and fundamentals behind the tools.

They will also be trained and taught, how to do such analysis through statistical software and how to interpret the outcomes. 

 AIM:

The scope of problems accessible for a numerical treatment has been constantly broadened over the last fifty years. In particular, there has been a lot of research activity in the recent decades aimed at the problems with multi-scale and multi-physics features. The dedicated numerical methods (model reduction, micro-macro models and model coupling, non standard FEM) stem from diverse techniques and ideas such as homogenization, asymptotic analysis, statistical physics, domain decomposition methods, etc. In the same time, much effort has been devoted to the development of a posteriori error estimators which can now not only guide the computational mesh adaptation, but also help to choose the correct model or to minimize the number of iterations in the complicated multi-physics solution process. The courses in this school are aimed to cover the state of the art numerical approaches mentioned above and to present both the underlying mathematical ideas and the real life applications.

The main Research School will be preceded by a Preschool with an introduction to Finite Element Method (FEM) including conforming and non conforming variants, mixed FEM; a posteriori error control including Goal-Oriented approaches and adaptive FEM; stochastic computational methods and micro-macro approaches; homogenization and optimal control. The main School will contain advanced courses on numerical homogenization techniques, optimal control, error estimation and mesh adaptivity for multi-physics problems, finite volume methods for dissipative problems, asymptotic models for thin structures, and computational statistical physics. The possible applications of these techniques are in porous media flows, fluid-structure interaction, multiphase and other complex flows, modelling of vesicles and red blood cells, financial mathematics etc.

Our principal target would be young mathematicians, preferably with a master’s degree in mathematics or applied mathematics. The courses will be taught in English. 

 AIM:

The statistical tools play an important role in the engineering, management, humanities and all allied sciences. Recent advancement in application oriented sciences are compelling the researchers and users for learning and understanding the statistical tools for modelling and analysis of the data arising from their experiments. Realizing the need of the time, the present workshop is aiming to give lectures and training on the Statistical topics and Linear Regression Modelling. The participants will be exposed to the statistical basics, background and fundamentals behind the tools.

They will also be trained and taught, how to do such analysis through statistical software and how to interpret the outcomes. 

 AIM:

The objective of this workshop is to introduce the participants to the basic theory, computation and application of SPPDEs. A variety of numerical techniques based on FDM and FEM covering the issues related to stability, convergence and error estimation discussed and analyzed for solution of SPPDEs. In addition, a series of lectures will focus on some of the applications of SPPDEs in science and engineering.Target Audience:

Post-graduate students and researchers from various Institutes, universities and research organizations across the country. 

 AIM:

The objective of the workshop is to introduce both formal and rigorous averaging methods to physical systems modelled by partial differential equations (PDEs) posed in heterogeneous/perforated media. The audience will be introduced to the tool of mathematical homogenization applied to PDEs describing physico-chemical processes in media with microstructures. The controllability aspects of PDEs will also be introduced.Target Audience:

PPost-graduate students and researchers from various institutes, universities and research organizations across the country. 

 AIM:To introduce the basics of Medical Imaging and their Clinical ApplicationsTo provide and overview on Imaging Modalities like CT and MRITo give a flavor of current research on Medical Imaging and Clinical Applications.Target Audience:

Post-graduate students and researchers from various institutes, universities and research organizations across the country. 
 AIM:An intensive course on Statistical Analysis and R - Software will be conducted during 17 - 21 September, 2015. This workshop is sponsored by the Continuing Education Programme of IIT Kanpur. The program will be specifically useful for persons who are concerned with training, teaching, industry and research using the Statistical tools and Statistical Software. The course is also designed to cater the needs of scientists from R & D labs and practicing engineers as well as management personals.Objective

The statistical tools play an important role in the engineering sciences. Recent advancement in engineering methodologies are compelling the engineers for learning and understanding the statistical tools for modelling and analysis of the data arising from their experiments. Realizing the need of the time, the present workshop is aiming to give lectures and training on the Statistical tools, topics of Linear Regression Modelling and R - Statistical Software (www.R-project.org). The participants will be exposed to the statistical background and fundamentals behind the tools along with training to use R - Statistical Software with examples.

They will also be trained and taught, how to do such analysis through R- statistical software and how to interpret the outcomes.



Target Audience:

  • Engineering / Science College Teachers

  • Researchers

  • Management Faculty

  • Professional and Practicing Engineers and Managers

  • Scientists of R & D Labs

 

 AIM:

An intensive course on Statistical Analysis for Engineers will be conducted during 04 - 08 May, 2015. This workshop is sponsored by the Continuing Education Programme of IIT Kanpur. The program will be specifically useful for persons who are concerned with training, teaching, industry and research using the tools of Linear Regression Modeling and Design of Experiments. The course is also designed to cater the needs of scientists from R & D labs and practicing engineers as well as management personnals.Objective:

The statistical tools play an important role in the engineering sciences. Recent advancement in engineering methodologies are compelling the engineers for learning and understanding the statistical tools for modelling and analysis of the data arising from their experiments. Realizing the need of the time, the present workshop is aiming to give lectures and training on the topics of Linear Regression Modelling and Design of Experiments. The participants will be exposed to the statistical background and fundamentals behind the tools.They will also be trained and taught, how to do such analysis through statistical software and how to interpret the outcomes.


Target Audience:

  • Engineering / Science College Teachers

  • Management Faculty

  • Professional and Practicing Engineers

  • Scientists R & D Labs

 

 

HPC - 2014 , IIT Kanpur, October 11-12, 2014

AIM:

  • To help UG/PG/PhD students of the department to get an idea about parallel computing.

  • To effectively utilize the departmental HPC facility