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This project has been funded with support from the European Commission.

This web site reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.




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Optimization and Learning

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OptlLearn Algorithm

  • An online platform based on learning algorithms that allow to adapt the contents to the needs of the students
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Online Resources

  • A set of applets that assist the students in the comprehension of selected mathematical concepts
The iMath Project is addressed to:
  • Math lecturers interested in optimization and learning algorithms and related topics
  • Researchers interested in optimization and learning algorithms and related topics
  • Math students at university level interested in improving their maths skills through the use of a learning environment based on the application of artificial intelligence

iMath Partnership

Latest News

Third Partners Meeting

17/01/2023

Third Partners Meeting

The third partners' meeting of the iMath project took place in Florence (IT) . All partners participated in the meeting and the main discussed topics were:

  • Analysis of the historical data of the students and related tests carried out on the prototype
  • Brainstorming related to the functionalities of the OptLearn Algorithm
  • Definition of the activities to produce the components of the OptLearn Algorithm
  • Presentation on the financial management
  • Definition of the main elements for the project sustainability

Second Partners' Meeting

25/07/2022

Second Partners' Meeting

The second partners' meeting of the iMath project took place in Patras (EL) . All partners participated in the meeting and the main discussed topics were:

  • Analysis of the Optimization and Learning Database
  • Discussion about the students' learning indicators
  • Brainstorming related to the functionalities of the OptLearn Algorithm
  • Clarifications on the financial management

iMath Database of Benchmark

06/06/2022

iMath Database of Benchmark

The database of benchmarks related to learning and optimization algorithms. Join the iMath Community and submit your proposal!


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