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iMath

An Intelligent System to Learn Mathematics

Context
Digital tools have the power to engage more effectively the students, romoting a culture of collaboration, inclusion and flexibility among students of the area of Mathematics.

Aim
Build up customized tools that allow students to learn Mathematics by offering a personalized path.
Develop a one-to-one method to support and assist the students in their study, relying on optimization techniques and learning algorithms.
Foster debate among teachers, students and researchers about how to teach and learn better using optimization and learning algorithms.

Main Activities
Aggregate articles, books, methods, algorithms and codes into an online collaborative library about optimization and learning methods.
Develop a framework to support the students in their study by designing and suggesting a customized path through its resources.

Expected Results
Diversify teaching approaches and pedagogical methodologies.
Improve students’ knowledge of subjects that require a strong mathematical background.
Contribute to support teachers and researchers on Optimization and Learning Algorithms.

Target Groups
iMath addresses college students, lecturers, researchers and other elements of the teaching staff.

Partners:

  • Instituto Politécnico de Bragança (Portugal)
  • Pixel (Italy)
  • University of Genoa (Italy)
  • HAW Hamburg (Germany)
  • University of Ljubljani (Slovenia)
  • University of Malaga (Spain)
  • University of Peloponnese (Greece)

 

Project website: https://imath.pixel-online.org

Project Team:

Prof. Dr. Karin Landenfeld
Project Leader
Prof. Dr. Ivo Nowak
Duration
-
Budget
66.605 €
Unit
Faculty of Engineering and Computer Science

Contact

Prof. Dr. Ivo Nowak
Department of Mechanical Engineering and Production Management
T +49 40 428 75-8789
ivo.nowak (at) haw-hamburg (dot) de

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