COURSES

I have taught the following courses.

Math 230 (Probability and Statistics for Engineers) | 2025-2026 Fall
SectionTimesRoom
Section 2Mon* 08:30–10:20
Wed 13:30–15:20
T-173
Section 3Mon* 15:30–17:20
Thu 10:30–12:20
A-229
Section 4Wed* 08:30–10:20
Fri 13:30–15:20
T-272
Office HoursFri 16:00-17:00SA-102

* Spare hour included in this session.

Textbook: Modern Mathematical Statistics with Applications, Jay L. Devore, Kenneth Berk, and Matthew A. Carlton, 3rd edition, Springer

Lecture Notes

Example Sheets

Here is a useful probability cheat sheet .

Here is an advanced application of the standard normal CDF (see Equation 6) in a real-life problem: kidney branching morphogenesis.

The course covers the following topics:

  • Interpreting probabilities
  • Axioms interpretations, and properties of probability
  • Counting methods
  • Conditional probability 
  • Independence
  • Random variables
  • Probability distributions for discrete random variables
  • Expected value and standard deviation 
  • Moments and moment generating functions
  • The binomial distribution
  • Poisson distribution
  • Other discrete distributions 
  • Probability density functions and cumulative distribution functions (Continuous random variables )
  • Expected values and moment generating functions
  • The normal (Gaussion) distribution
  • Exponential and Gamma distributions
  • Other continuous distributions 
  • Transformations of a random variable
  • Jointly distributed random variables
  • Expected values, covariance and correlation
  • Linear combinations
  • Statistics and their distributions
  • Distribution of sample totals, means and proportions
  • The Chi-squared, t and F distributions
  • Concepts and criteria of point estimation
  • Maximum likelihood estimation
  • Confidence intervals

Math 106 (Introduction to Calculus II) | 2024-2025 Spring &Summer

Textbook: Calculus, Varberg – Purcell – Rigdon, 2007/9, Pearson New International Edition

The course covers the following topics:

  • Antiderivatives 
  • Introduction to differential equations
  • Introduction to area
  • Definite integral
  • The first fundamental theorem of calculus
  • The second fundamental theorem of calculus
  • Method of substitution
  • Mean value theorem for integrals
  • Area of a plane region
  • Inverse functions and their derivatives
  • Exponential and logarithmic functions
  • Exponential growth and decay
  • Inverse trigonometric functions
  • Indeterminate forms and L’Hôpital’s Rule
  • Compound interest
  • Basic integration rules
  • Integration by parts
  • Trigonometric integrals
  • Rationalizing substitutions
  • Three-dimensional coordinate system
  • Functions of several variables
  • Partial fractions
  • Partial derivatives
  • The chain rule
  • Maxima and minima
  • The second partial derivative test
  • The method of Lagrange multipliers

Below are some selected quizzes from the course.


Math 105 (Introduction to Calculus I) | 2024-2025 Fall

Textbook: Calculus, Varberg – Purcell – Rigdon, 2007/9, Pearson New International Edition

The course covers the following topics:

  • Real numbers
  • Inequalities and absolute value
  • Lines and circles
  • Graphs of equations
  • Functions and their graphs
  • Operations on functions
  • Trigonometric functions
  • Introduction to limits
  • Limit theorems
  • Limits involving trigonometric functions
  • Limits at infinity
  • Infinite limits
  • Asymptotes
  • Continuity of functions
  • Tangent lines
  • The derivative
  • Rules for finding derivatives
  • Derivatives of trigonometric functions
  • The chain rule
  • Higher-order derivatives
  • Implicit differentiation
  • Related rates
  • Maxima and minima
  • Monotonicity and concavity
  • Local extrema and extrema on open Intervals
  • The mean value theorem
  • Graphing functions
  • Optimization problems
  • Economic applications

Below are some selected quizzes from the course.