Teaching Philosophy
Student-Centered Learning
I believe in creating an inclusive learning environment where every student can thrive. My approach focuses on understanding individual learning styles and adapting teaching methods to meet diverse needs.
Hands-On Experience
Physics is best learned through practice. I integrate computational exercises, laboratory work, and real-world applications to help students connect theoretical concepts with practical implementations.
Critical Thinking
I encourage students to question, analyze, and think critically about physical phenomena. This approach develops problem-solving skills essential for scientific research and professional success.
Lifelong Learning
I strive to instill a passion for continuous learning and scientific curiosity that extends beyond the classroom, preparing students for evolving careers in science and technology.
Current Courses
Computational Physics
Graduate LevelAn advanced course covering numerical methods, Monte Carlo simulations, and computational techniques for solving complex physical problems.
Key Topics:
- Numerical Integration and Differentiation
- Monte Carlo Methods
- Finite Element Analysis
- Quantum Simulations
- Statistical Data Analysis
Mathematical Physics
UndergraduateFoundation course in mathematical methods essential for physics, covering differential equations, vector calculus, and complex analysis.
Key Topics:
- Ordinary Differential Equations
- Partial Differential Equations
- Vector Calculus
- Complex Analysis
- Fourier Analysis
Statistical Mechanics
Graduate LevelAdvanced study of statistical methods in physics, covering ensemble theory, phase transitions, and applications to modern physics.
Key Topics:
- Canonical and Grand Canonical Ensembles
- Phase Transitions
- Critical Phenomena
- Quantum Statistics
- Non-equilibrium Systems
General Physics I
UndergraduateIntroductory physics course covering mechanics, thermodynamics, and wave phenomena with emphasis on problem-solving and conceptual understanding.
Key Topics:
- Classical Mechanics
- Energy and Momentum
- Rotational Motion
- Oscillations and Waves
- Thermodynamics
Teaching Methods & Innovation
Interactive Simulations
Using computational tools and interactive simulations to visualize complex physical phenomena and enhance student understanding.
Collaborative Learning
Implementing group projects and peer learning activities that encourage collaboration and knowledge sharing among students.
Problem-Based Learning
Presenting real-world problems that require students to apply theoretical knowledge and develop practical solutions.
Data-Driven Assessment
Using continuous assessment and feedback mechanisms to track student progress and adapt teaching strategies accordingly.
Research Integration
Incorporating current research findings and methodologies into coursework to connect classroom learning with cutting-edge science.
Technology Integration
Leveraging modern educational technologies, online resources, and digital tools to enhance the learning experience.
Student Resources
📚 Course Materials
- Comprehensive lecture notes and slides
- Problem sets with detailed solutions
- Recommended textbooks and references
- Supplementary reading materials
💻 Computational Tools
- Python programming tutorials
- MATLAB simulation examples
- Mathematica notebooks
- Online simulation platforms
🎯 Support Services
- Regular office hours for consultation
- Study groups and peer tutoring
- Academic advising and career guidance
- Research opportunities for advanced students
📊 Assessment Methods
- Continuous assessment through quizzes
- Project-based evaluations
- Laboratory reports and presentations
- Comprehensive final examinations