Portrait of Batuhan Koyuncu in an academic library setting.

About

Academic tutoring with technical depth and clear communication.

Koyuncu Academy is led by Batuhan Koyuncu, a multilingual physics student and tutor with experience across university-level STEM, exam preparation, online teaching, computational workflows and academic learning materials.

Professional profile

Built for students who need rigorous explanation.

Batuhan has studied physics in Istanbul and Leipzig and has taught online since 2020. His teaching experience includes Olympiad-level preparation, bachelor-level physics and mathematics content, school-to-Abitur support, university tutoring and technical academic workflows.

The public profile intentionally avoids naming previous work institutions. The emphasis is on the type of experience, teaching responsibility and subject depth rather than institutional branding.

Languages

International tutoring in three main languages.

  • Turkish: native language.
  • English: advanced academic and professional communication.
  • German: advanced academic and teaching communication.
  • Experience supporting students in Germany, the United Kingdom, the Netherlands and other international contexts.

Expertise

Subject depth plus technical workflow support.

STEM and engineering

Physics, mathematical methods, higher mathematics, electrical engineering, materials science, statistics and data analysis.

Exam and school support

Abitur, IB Mathematics, IB Physics, IGCSE Mathematics and Physics, school mathematics and school physics.

Scientific workflows

Python/Jupyter notebooks, LaTeX, Beamer, plots, reports, computational examples and structured presentations.

Teaching philosophy

Derivations before memorization.

Lessons emphasize definitions, notation, assumptions and the chain of reasoning behind formulas. The goal is to make the student comfortable with the method, not only with the final answer.

  • Start from the student's real course material.
  • Reduce complex topics to prerequisites and representative examples.
  • Build transferable problem-solving routines.
  • Use computation and visualization when it improves understanding.