Multi Languages :
What all needed is your willingness to learn & understand while we are teaching you the language of your choice & understanding.
Small Batch Size :
We have small batch size & big experienced faculty so that you can enrich yourself with a lot of goodness of foregin languages.
Innovative Studies :
India is a diversified culture with several languages but still we need to learn some more language in this growing economy. As the world is going global and different cultures & languages coming closer, so we need more multilingual to help understand the world better.
Career Possibilities :
We ensure the quality of education & expertise of our faculty in the languages to give you a good experience in you career.
TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
I chose this video because it highlights how technology can be used to differentiate instruction and of course assessment. I think this is one of the biggest areas where technology can be a game changer in terms of presenting material in different manners and allowing students to show their knowledge and application in different ways. The comments about day to day feedback and self assessment was a theme I found in several of the clips and articles.
This video looks at improving assessments so they don’t just measure learning but help create learning. It had some great examples of where folks go wrong and focuses on higher education where I preside. I enjoyed how it outlined better steps to lead to learning. Thinking about incorporating peer feedback as well as the need for good rubrics played in well to the greater themes.
New book unveils faculty-led effort to chart concepts and competencies students should learn in six academic disciplines, with plan to create standardized tests. Will faculty members warm to this version of "learning outcomes"?
Rikke Toft Nørgård, Assistant Professor at the Center for Teaching Development and Digital Media at Aarhus University in Denmark, practices something she calls "gelatinous pedagogy" in which she tries not to enforce a detailed curriculum from a fixed syllabus and rubric for all students but acts, in her words, "more like a jellyfish that's adjusting to the students, rather than making the students adjust to my teaching."
Fun site with links to articles on many learning theories including Piaget, Constructivism, Behavioralism, Brain Based Learning, Social Cognition, Emotional Inteligence, Social Learning Theory, and more.
Y. Duan, L. Jiang, T. Qin, M. Zhou, and H. Shum. Proceedings of the 23rd International Conference on Computational Linguistics, page 295--303. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
R. El-Yaniv, and D. Yanay. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I, page 744--759. Berlin, Heidelberg, Springer Berlin Heidelberg, (2012)