Teaching • Mentorship • Educational Leadership

Teaching and Educational Leadership

I bring over fifteen years of distinguished university-level teaching experience across leading research institutions in the United States and internationally, including the University of Wisconsin–Milwaukee, Marquette University, Prince Sultan University, and Virginia Tech. My instruction integrates rigorous mathematical foundations with modern computational tools and real-world applications—preparing students for advanced study and careers in mathematics, engineering, scientific computing, data science, and interdisciplinary research.

Conceptual Clarity Analytical Rigor Application-Driven Learning Modern Computational Tools Mentorship & Inclusive Excellence Multi-Section Leadership

Teaching Philosophy

My teaching is grounded in clarity, rigor, and relevance. I aim to build strong mathematical foundations while helping students develop the habits of mind required for modern problem-solving: precise reasoning, computational proficiency, and the ability to translate real-world questions into quantitative models.

Across diverse institutions and student populations, I have consistently integrated mathematical theory with computational practice—using modern tools to reinforce core concepts and to connect mathematics to applications in engineering, scientific computing, biomedical modeling, physics, and data-driven research. My instructional approach emphasizes active learning, structured scaffolding, frequent feedback, and high expectations in a supportive environment that enables students from all backgrounds to succeed.

I have taught and coordinated a broad range of undergraduate and graduate courses and have mentored hundreds of students. I take particular pride in guiding students toward confidence and independence—helping them progress from foundational mastery to advanced analytical and computational thinking.

Educational Leadership, Mentorship, and Service

  • Instructional leadership: multi-section coordination and consistent, high-quality delivery across multiple course formats.
  • Mentorship: individualized academic mentoring, research guidance, and career preparation for students entering graduate programs and technical fields.
  • Service: participation in departmental and university service, including elected committee roles (e.g., academic staff awards committee participation).
  • Undergraduate research development: active participation in competitive student research initiatives, including preparation and submission of proposals supporting undergraduate research participation through programs such as SURF.
  • Scholarly engagement: participation in workshops and professional development activities; continued publication of peer-reviewed work and scholarly contributions (including papers and book chapters).

This combination of teaching excellence, mentorship, and service reflects a sustained commitment to academic excellence and inclusive education, and demonstrates full readiness to support rigorous and modern mathematics curricula central to applied mathematics, computational science, and engineering education.

Complete Teaching Record

The list below includes all courses I have taught, organized by institution and term for transparency and accurate public evaluation.

University of Wisconsin–Milwaukee (UWM) 2022–Present
Spring 2026 UWM
  • Math 98/108
  • Math 240: LINEAR ALGEBRA- MATRICES AND APPLICATIONS
Fall 2025 UWM
  • Math 240 (sections 006, 003 and 004): LINEAR ALGEBRA- MATRICES AND APPLICATIONS
  • Math 211-section 291 : Survey in Calculus and Analytic Geometry
Spring 2025 UWM
  • Math 240 (sections 006, 003 and 004): LINEAR ALGEBRA- MATRICES AND APPLICATIONS
  • Math 211-section 291 : Survey in Calculus and Analytic Geometry
Fall 2024 UWM
  • Math 211 : Survey in Calculus and Analytic Geometry
Spring 2024 UWM
  • Math 234 : Linear Algebra and Differential Equations–
  • Math 211 : Survey in Calculus and Analytic Geometry
  • Math 208 : Quantitative Models for Business
Fall 2023 UWM
  • Math 208 (section 203): Quantitative Models for Business
  • Math 211 (Sections 291-292) : Survey in Calculus and Analytic Geometry
Spring 2023 UWM
  • Math 240 (sections 001 and 002): LINEAR ALGEBRA- MATRICES AND APPLICATIONS
  • Math 211 : Survey in Calculus and Analytic Geometry
  • Math 211 Slides and practice problems
Fall 2022 UWM
  • Math 240 (sections 001, 002 and 203): LINEAR ALGEBRA- MATRICES AND APPLICATIONS
  • Math 232 (section 008): CALCULUS & ANALYTIC GEOMETRY II
Marquette University 2017–2021
Spring 2021 Marquette
  • Math 5510/Math4510: Partial Differential Equations
  • Math 3100 (section 101): Linear Algebra and Matrix Theory
  • Math 1410 (section 101): Calculus for Biological Sciences
Fall 2020 Marquette
  • Math 1451 (section 101): Calculus for Biological Sciences
  • Math 1451 (sections: 101 and 102): Calculus 2
Summer 2020 Marquette
  • Math 1450 (section 101): Calculus I
Spring 2020 Marquette
  • Math 3100
  • Math 1450
  • Math 1451
Fall 2019 Marquette
  • Math 1400
  • Math 1410
Summer 2019 Marquette
  • Math 1451
Spring 2019 Marquette
  • Math 3100
  • Math 1400
  • Math 1410
Fall 2018 Marquette
  • Math 1400
  • Math 1410
Spring 2018 Marquette
  • Math 2451
  • Math 1400
  • Math 1410
Fall 2017 Marquette
  • Math 2451
  • Math 1455
Prince Sultan University (PSU) 2014–2015
Fall 2015 PSU
  • Math 221
  • Math 002
Spring 2015 PSU
  • Math 221
  • Math 101
Fall 2014 PSU
  • Math 001
  • Math 002
Virginia Tech (Graduate Teaching Assistant) 2008–2011
Spring 2011 Virginia Tech
  • Math 1225
  • Math 1226
Fall 2010 Virginia Tech
  • Math 1224
  • Math 1225
Summer 2010 Virginia Tech
  • Math 1224
Spring 2010 Virginia Tech
  • Math 1225
  • Math 1226
Fall 2009 Virginia Tech
  • Math 1205
  • Math 1206
Spring 2009 Virginia Tech
  • Math 1225
  • Math 1226
Fall 2008 Virginia Tech
  • Math 1206
Spring 2008 Virginia Tech
  • Math 1225
© Dr. Ahmed Kaffel — Teaching • Mentorship • Educational Leadership