Alireza - Maths tutor - Toronto
1st lesson free
Alireza - Maths tutor - Toronto

Alireza's profile and contact details have been verified by our team

Alireza

  • Rate R579
  • Response 1h
  • Students

    Number of students Alireza has accompanied since joining Superprof

    2

    Number of students Alireza has accompanied since joining Superprof

Alireza - Maths tutor - Toronto
  • 5 (4 reviews)

R579/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Maths
  • Algebra
  • Arithmetic
  • Statistics
  • Mathematical analysis

PhD Econ (TMU) | Lecturer. Taught in a business school and at the graduate-level economics at TMU. I tutor micro/macro (UG & grad), econometrics (Stata/R/Python), and university math (Calculus I–II, D

  • Maths
  • Algebra
  • Arithmetic
  • Statistics
  • Mathematical analysis

Lesson location

Recommended

Alireza is a respected tutor in our community. He is highly recommended for his commitment and the quality of his lessons. A trusted partner on your learning journey.

About Alireza

I’m Alireza—an Economics PhD candidate at Toronto Metropolitan University and a university lecturer with nearly two years of teaching experience at Algoma University’s business school and at TMU (including online delivery). I’ve taught and supported students across graduate-level economics (micro, macro, econometrics) and university mathematics (Calculus I–II, Discrete Mathematics, Linear Algebra), and I specialize in turning difficult concepts into clear, step-by-step methods you can use on assignments and exams right away.

What I teach

Economics: Micro (UG & Grad), Macro (UG & Grad), Econometrics, Time Series, Public/Health Economics basics

Math for Econ/Business: Calculus I–II, Linear Algebra, Discrete Mathematics, Probability/Statistics

Empirical skills: Stata, R, and Python for data cleaning, regression, visualization, and reproducible workflows

Teaching approach

Problem-driven & exam-ready. We start from your syllabus, past tests, or problem sets and build the solution method from first principles. I show the quickest correct approach and common pitfalls, then we practice with variations so you can handle curveballs.

Intuition + method. I combine graphical/economic intuition with formal steps (definitions, theorems, conditions) so you know why a solution works and how to replicate it under time pressure.

Active learning. Short, low-stakes checks (1–2 minutes) during the lesson ensure we fix gaps immediately rather than discovering them the night before the exam.

Efficient notes. I provide tidy, structured notes (or annotated screenshots) with boxed formulas, solved exemplars, and a mini-checklist for each topic.

How a typical session works

Quick diagnostic (5–10 min): You show me the exact topics/questions giving trouble.

Targeted walkthrough (30–40 min): I model a clean solution path, highlighting assumptions and shortcuts.

You drive (20–30 min): You solve parallel problems while I coach and correct.

Wrap-up (5 min): A concise recap + a short practice set for confidence between sessions.

For grad students / thesis & projects

Topic scoping, data strategy, variable definitions, and literature positioning

Stata/R/Python: do-files/scripts, robust standard errors, panel/time-series workflows

Reproducibility: project folders, versioned code, and figure/table pipelines

Formats & availability

Online (preferred) with interactive whiteboard and shared documents

Toronto-area in person may be possible by arrangement

Flexible scheduling; intensive exam prep blocks available

Results you can expect

Clear procedures for each topic (what to write first, how to structure proofs/derivations, which checks to do)

Faster, more reliable problem-solving under time limits

Stronger understanding that carries from homework to midterms/finals—and to advanced courses

If you’re tackling micro/macro theory, econometrics code, or a tough math unit, I’m happy to help. Send your syllabus or sample questions, and we’ll build a focused plan to get you confident and exam-ready.

See more

About the lesson

  • Matric/GCSE
  • BTech
  • Adult education
  • +3
  • levels :

    Matric/GCSE

    BTech

    Adult education

    Masters

    MBA

    Doctorate

  • English

Languages in which the lesson is available :

English

Before we meet

Send me your syllabus, topics, past exams/assignments, and (if relevant) code or datasets (Stata/R/Python).

I’ll map a mini-plan: key learning goals, the exact problems we’ll tackle, and a short checklist.

How a typical session runs (60–90 minutes)

Warm-up (5–10 min): quick diagnostic to pinpoint gaps and pick the right starting problem.

Guided walkthrough (25–35 min): I model a clean, exam-ready method (definitions → steps → checks) and show common pitfalls.

You drive (25–35 min): you solve parallel questions while I coach, correct, and shorten your steps.

Speed check (5–10 min): timed mini-problem to build exam rhythm.

Wrap-up (5 min): you leave with a one-page recap (key formulas, steps, and “red flags”) + a short practice set.

What I bring

Problem-first approach: we start from the exact questions you face and generalize methods from there.

Dual focus—intuition + rigor: economic intuition/graphs paired with formal derivations and proofs where needed.

Quant & code support: econometrics workflows (Stata/R/Python), reproducible do-files/notebooks, readable tables/figures.

Study systems: spaced practice sets, exam checklists, and “last-48-hours” review plans.

See more

Rates

Rate

  • R579

Package rates

  • 5h: R2548
  • 10h: R4632

online

  • R463/h

free lesson

The free first lesson with Alireza allows you to get to know the tutor and discuss your needs and expectations.

  • 30min

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