Machine Learning and Artificial Intillegence

Machine Learning is a system that can learn from example through selfimprovement and without being explicitly coded by programmer. Machine learning combines data with statistical tools to predict an output. This output is then used by corporate to makes actionable insights. it gives the computer that which makes it more similar to humans: The ability to learn. Machine learning is also used for a variety of task like fraud detection, predictive maintenance, portfolio optimization, automatize task and so on

Design Thinking and critical problem solving

About

1. To Learn How To Apply Design Thinking on Planning
2. Using Design Thinking To Address the Nature of Planning
3. Using Design Thinking To Come Up With Practical Innovation
4. Re-framing and defining the problem in human-centric ways.
5. Developing a prototype/solution to the problem.

Speaker

Mr.Sankalp Bhargava, Architect (Specilization in innovative Product Design) 10 years academic +Professional experience

Basic techniques In Molecular Biology

In this workshop plant leaf DNA would be isolated following CTAB method. Genomic DNA would be purified by using the DNA purified column (Qiagen). Purified DNA would be quantified by Nanodrop. Purity of DNA would be estimated by using agarose gel electrophoresis. DNA would be amplified by the using gene specific primers and DNA amplification kit (Fermentas). Amplified DNA would be again estimated by agarose gel electrophoresis. In this workshop students would get hands on training for the molecular biology by using standard protocol. At the end of training students would get gel documented photographs of amplified DNA.

Application of Staad Pro & Ansys S/w in Civil Engg.

Cloud computing is the on demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. The term is generally used to describe data centers available to many users over the Internet.