

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.
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.
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.
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.
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.
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.
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 multiscale and multiphysics features. The dedicated numerical methods (model reduction, micromacro 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 multiphysics 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.
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.
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:
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 physicochemical processes in media with microstructures. The controllability aspects of PDEs will also be introduced.Target Audience:
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:
Postgraduate 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.Rproject.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. Target Audience:
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:
HPC  2014 , IIT Kanpur, October 1112, 2014
AIM:
