It aims to provide remote-access to Laboratories in various disciplines of science and engineering for students at all levels from under-graduate to research.
It aim is to trained students about insight internal working of companies and provide an exposure to students about good opportunity to gain full awareness about industries practices. After visiting an industry students can gain a combined knowledge about both theory and praticals.
"Imagine Cup" is an annual competition sponsored and hosted by Microsoft Corp. which brings together young technologists worldwide to help and resolve some of the world‟s toughest challenges.
It aims is to Create awareness among students regarding available career options and help them in identifying their career objectives, Guide the students in developing skills and job-search strategies required to achieve their career objectives, Identify suitable potential employers and help them achieve their hiring goals, Organize activities concerning career planning.
It aims to develop interest & awareness on HADOOP and BIG DATA ANALYSIS LABs so that students can take some of the practical advantage on latest and emerging technologies, which can help them for their placement at higher packages in good MNCs.
It aims is to provide options to students to choose the courses according to their desires and inclinations as they choose the desired items in cafeteria. From the expertise our students gain knowledge through the value added programmers, which will enable them to face the formidable challenges of the future.. To provide training and guidance to the students on the various aspects of building a career and to assist them in exploring new opportunities.
It aims is to aware students regarding LinkedIn website and its benefits such as registered members to establish and document networks of people they know and trust professionally and LinkedIn has been gathering up data across the more than 225 million LinkedIn profiles in an Economic Graph to provide policymakers, employers, workers and educators with data-driven insight into patterns that will help align workforce supply with demand.
It aims is to aware the students that how efficiently problems can be solved on a model of computation, using an algorithm. The field is divided into three major branches: automata theory and language, computability theory, and computational complexity theory