A Refresher experiential course on linear algebra and Optimization for Most Modern Signal processing and pattern classification 2511,2611 and 2711, 2017 Centre for Excellence in Computational Engineering and Networking (CEN), Amrita Vishwa Vidyapeetham. 
About MSP 2017 Workshop The objective of this workshop is to make the students especially B.Tech students ready for the new generation jobs. Many universities are now offering courses with electives from various subject domains to mould their students to meet the requirements of the industry. So, to bring interdisciplinary experimental active learning in our University, Center for Computational Engineering and Networking is organizing a 3day course to reinforce linear algebra and optimization through experiments for modern signal processing and pattern classification. You can download the entire workshop materials here Academics at CENVenue: CEN, Amrita School of Engineering Coimbatore, Amrita Vishwa Vidyapeetham25112017 9.00 AM to 5 PM (please find below the detailed schedule) Linear algebra fundamentals and computational experiments with Matlab and Python  Prof. K. P. Soman (Professor & Head, CEN) Linear algebra, optimization (multivariate calculus + algorithms) and probabilistic graphical models have now become most essential subjects needed to tackle the problems in the era of automation and data science. The common complaints to students regarding Linear algebra are It is very abstract; It contains too many new concepts; and They don't know what uses it has. One possible and viable solution at hand is Use Computational experiments to investigate and reinforce the concepts. Use Matlab as a Mathematical Laboratory. Example applications are plenty and are easy to demonstrate with in Matlab Environment. As the student progress from first year to fourth year, faculty may expose the students to newer and tougher problems and experiments. Most design and control problems in any Engineering are now tackled with above core subjects. Years of acquaintance with students from various disciplines admitted to M.Techs, it is observed that , for many, Matrix is a a balck box. It simply is a rectangular array of numbers for them. They know the rules for finding certain quantities like determinant, eigenvalues and eigenvectors associated with a square matrix. Most of them could not tell a single application of these concepts. So, finally for many, Advanced Mathematics means : A collection of rules if followed as per instruction proposed by teacher give solution to some well defined problems formulated by somebody (mainly the reference books authors). This view need to be changed. The universe and its laws are described mainly by nonlinear equations. Understanding nature of its behavior demands computational experiments. Some of the concepts missed by B.Tech graduates in Linear Algebra are.
This in turn helps in understanding This in turn helps in understanding Understanding SVD properly helps in understanding In this workshop we aim
Advanced liner algebra  Dynamic Mode Decomposition and its applications 9.00 AM to 5 PM Topics which will be discussed in this session
9.00 AM to 5 PM Optimization and signal processing  Mr. Sachin Kumar S, Ms. Neethu Mohan and Mrs. Sowmya V Registration is closed Books published from CEN on Signal processing and Machine learning
