Concordia University · PHYS 236

Concordia PHYS 236 tutoring

Numerical Methods in Physics with Python: send your chapter so we can check whether we can help before you book.

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Course overview

Concordia PHYS 236 introduces computational physics in Python without assuming programming experience. The catalogue’s possible topics are listed below; your section’s outline determines the methods covered.

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PHYS 236 topics to review

Python programming fundamentalsAnalyzing and visualizing dataFitting curves to dataNumerical derivatives and integralsNumerical solutions of linear systemsSolving differential equations computationallyApplications in medical biophysics, fluid mechanics and optics

Common difficulties

  • Translating a physical model into working code
  • Distinguishing a coding error from a modelling or numerical error
  • Checking computed results against units, graphs and simple cases

How tutoring can help

Lessons follow your course materials and focus on what you want help with. Your tutor adapts to your needs and pace, explaining difficult ideas patiently, step by step. There’s time to ask questions, revisit unclear steps and practise together to build understanding and confidence.

Exam preparation for PHYS 236

Work through short Python examples from the methods in your outline. Explain the algorithm, trace its calculations and assess whether its output is physically reasonable.

Use your section’s outline to choose the chapters to review. We work through permitted practice and comparable problems, without completing graded assignments or exams on your behalf.

Need help with PHYS 236?

Send your topic and preferred times. We’ll confirm whether we can help and, if so, agree on a time by text or email before payment.

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PHYS 236 · official course reference