Research Article
Assessment and Attainment of Course Outcomes With Scope For Improvement: A Sample Pragmatic Case Study for Incorporating Outcome Based Education in Engineering Colleges
@INPROCEEDINGS{10.4108/eai.7-12-2021.2314482, author={Krishnamoorthy Somasundaram and Vinoth Kumar Balasubramanian and Paulraj Sivakumar}, title={Assessment and Attainment of Course Outcomes With Scope For Improvement: A Sample Pragmatic Case Study for Incorporating Outcome Based Education in Engineering Colleges }, proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India}, publisher={EAI}, proceedings_a={ICCAP}, year={2021}, month={12}, keywords={natural language toolkit; machine learning; high performance computing; smart governance; smart cities}, doi={10.4108/eai.7-12-2021.2314482} }- Krishnamoorthy Somasundaram
Vinoth Kumar Balasubramanian
Paulraj Sivakumar
Year: 2021
Assessment and Attainment of Course Outcomes With Scope For Improvement: A Sample Pragmatic Case Study for Incorporating Outcome Based Education in Engineering Colleges
ICCAP
EAI
DOI: 10.4108/eai.7-12-2021.2314482
Abstract
Machine learning is one of the technologies coming to help the deployment of smart cities in all phases. The diagnosis is a crucial phase that comes to ensure the implementation of a project adapted to the reality of the city diagnosed; this step requires a significant financial commitment. This paper comes to deploy a frugal diagnostic approach of the smart environment component while using self-learning techniques. In addition, assessments are reported and regulatory maturity with respect to this new concept is explored through machine learning. In the near future machine, learning will play a crucial role in the implementation of this kind of concept.
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