Teaching

Pure / Applied Mathematics & Statistics

Teaching at Maastricht University


University Teaching Qualification (UTQ/BKO), Maastricht University (2024).

National Graduate Teaching

Invited Lecturer — Mastermath Programme (Netherlands).

Course: Combinatorial Knot Theory and Periodic Tangles (2026–2027).


Course Coordination and Teaching


Spring 2026

Period 4

  • Research Project — Coordinator -- Business Analytics BSc Programme, Department of Data Analytics & Digitalisation.

  • MSc Thesis Supervision (SBE programmes).

Period 5

  • Research Methods for Environment & Economy II — Coordinator (Statistics via Python).
    Faculty of Arts and Social Sciences, Global Studies BSc Programme.

  • Research Project — Coordinator -- Business Analytics BSc Programme, Department of Data Analytics & Digitalisation.

  • MSc Thesis Supervision.

Period 6

  • Bachelor Thesis — Coordinator -- Business Analytics BSc Programme.

  • MSc Thesis Supervision.

Fall 2025

Period 2:

  • Research Methods for Global Studies I (Statistics via Python) — Coordinator.

Period 3:

  • MSc Thesis Supervision.

Summer 2025

European Culture: History & Arts — Summer School Course Coordinator.

Spring 2024–2025

Research Project — Coordinator.
Environmental Economics — Coordinator (Statistics via Python).
Bachelor Thesis — Coordinator.
MSc Thesis Supervision.

Fall 2023–2024

Calculus I — Business Engineering BSc.

Multivariable Calculus — Business Engineering BSc.

Linear Algebra — Business Engineering BSc.

MSc Thesis Supervision.

Earlier Teaching at Maastricht (2021–2023)

Courses include:

  • Data Analytics (R) — MSc International Business.

  • Introduction to Business Analytics.

  • Business Intelligence Case Studies (MSc).

  • Corporate Governance.

  • Business Process Management.

  • Research Methods for Global Studies II.

  • Linear Algebra.

  • Calculus.

Teaching at China Agricultural University


Autonomous teaching in joint programmes with Oklahoma State University and University of Colorado Denver.

Courses included:

  • Advanced Calculus.

  • Mathematical Analysis.

  • ODEs and Applications.

  • Intermediate Statistical Analysis.

  • Statistics for Business and Economics.

  • College Algebra.

  • Precalculus and Linear Algebra.

  • Analytical Geometry.

Teaching loads included up to 12 hours/week honors-level instruction across 17–19 week semesters.

Organizer and main speaker:

  • Seminar on Low-Dimensional Topology (2019).


Math and Statistics public engagement activities (Math Fair):

  • Zero vs Infinity.

  • Plato vs Aristotle.

  • Pi vs e.

  • Mathematics vs Chemistry.

Teaching at National Technical University of Athens


Teaching Assistant and Instructor.


School of Applied Mathematical and Physical Sciences:

  • Knot Theory and Applications (MSc).

  • Abstract Algebra II (Galois Theory).

  • Abstract Algebra and Applications.

  • Linear Algebra and Analytical Geometry.

School of Civil Engineering:

  • Linear Algebra and Applications.

School of Chemical Engineering:

  • Calculus III.

Department of Data Analytics and Digitalisation, Maastricht University, School of Business and Economics, P.O.Box 616, 6200 MD Maastricht The Netherlands.
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