Deep randomization of questions prevents cheating or copying in online assessments, a problem that needs to be addressed for large classes. In this talk, Ambar Jain presents an assessment platform developed by the Center for Research in Advanced Technology for Education in Science (CREATES) at the Indian Institute of Science Education and Research, Bhopal (IISERB) that serves deeply randomized synchronous and asynchronous assessments to students. What are the advantages of computational thinking in the execution of engineering projects? Who will start the digital transformation of engineering companies? Why Wolfram Mathematica and System Modeler are the best options for industrial solutions? These are the questions Exergetika is going to talk about and will try to solve. ![]() In this conference Exergetika will show part of their solutions developed in Mathematica for engineering projects in oil and gas, energy efficiency analysis and chemical industries and will explain how they have taken advantage of unique and special features of Mathematica to interactively present and explain engineering results and definitions to consumers and also as part of education and training processes. ![]() Mathematica and Computational Thinking Applied to EngineeringĮxergetika is a start-up company, whose value proposal is the application of computational thinking to solve engineering problems that from its conception has been inspired in the computational possibilities offered by Wolfram Mathematica and Wolfram System Modeler. Finance, Statistics & Business Analysis.Wolfram Knowledgebase Curated computable knowledge powering Wolfram|Alpha. Wolfram Universal Deployment System Instant deployment across cloud, desktop, mobile, and more. Wolfram Data Framework Semantic framework for real-world data.
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