Search this site
Embedded Files
Prof. Dr. Michael Hecht
  • home
  • Numerical Methods
  • Practical Implementations of NA
  • Approximation Theory and Approximation Practice 2027
  • Scientific Machine Learning
Prof. Dr. Michael Hecht
  • home
  • Numerical Methods
  • Practical Implementations of NA
  • Approximation Theory and Approximation Practice 2027
  • Scientific Machine Learning
  • More
    • home
    • Numerical Methods
    • Practical Implementations of NA
    • Approximation Theory and Approximation Practice 2027
    • Scientific Machine Learning

Personal Page-link

Teaching Philosophy



It is my great pleasure to teach at the Mathematical Institute, University of Wrocław. 


As per my own experiences, I believe that excellent teaching is essential for providing the next generation of scientists with the opportunities they deserve. I’ve found that effective teaching occurs when the audience is encouraged to approach the subject matter flexibly based on their individual knowledge levels. I appreciate the continuous expansion of my own understanding of the subjects I teach, driven by the valuable feedback that I receive from my students.

On the other hand, I provide clear course structures to guide and ensure fair and transparent grading and support student-centered learning, promoting critical thinking, and providing opportunities for hands-on experience. These structures include defined learning objectives, self-test questions, and specific exercises designed for deepening the covered subjects.


Report abuse
Page details
Page updated
Report abuse