Probability Tutoring: University-Level Online Math Help
Probability theory is full of concepts that don’t feel intuitive at first. Conditional probability, independence, and different types of convergence can be confusing, and this is especially true when courses move quickly through both computation and theory.
With a PhD in Mathematics from UT Austin focused on probability and financial mathematics, I can help you understand these concepts at your own pace, whether you need help with basic probability or more advanced topics.
Probability Topics Covered
- Probability rules, conditional probability, and independence
- Random variables (discrete and continuous)
- Common probability distributions (binomial, normal, exponential, etc.)
- Expected value, variance, and moment generating functions
- Joint distributions, covariance, and correlation
- Law of large numbers and central limit theorem
- Stochastic processes and Markov chains
- Advanced topics for graduate students
My Approach
Probability requires both computational skill and conceptual understanding. I help you develop intuition for probabilistic thinking while mastering the mathematical techniques. Graduate-level topics available for students ready to go deeper into measure-theoretic probability and stochastic analysis.
Who This Is For
University students at undergraduate or graduate level studying probability theory, stochastic processes, or stochastic calculus. Perfect for students at UAlberta, other Canadian universities, or studying in the US.
Session Details
- Online via Google Meet
- Monday to Friday, 12–6 PM MT
- CA$75 per hour
- First session guarantee: full refund if you’re not satisfied