Courses Taught

I have a total of ten years teaching experience at both high school and undergraduate level. At high school, I taught mathematics and chemistry and at the college level I have been teaching mathematics for the most part. In my practice of teaching, I foster active student participation so they can develop the concepts on their own and see how what they learn can be used in solving a variety of real life situations. Thus, I motivate most of my lessons with a real life problem that students explore using various (often rudimentary) strategies and then we use these strategies to develop more efficient strategies. In my teaching, I also emphasize the connections between various mathematics ideas such as algebra and geometry, statistics and probability, among others.

Courses Taught at Ithaca College

MATH 145: Statistics for Health, Life, and Social Sciences

This is a first course in statistics covering descriptive statistical techniques; introduction to probability; statistical inference including problems of estimation and hypothesis testing; one-way ANOVA; and design of experiments. Most of the data sets and exercises are chosen from the fields of biology, health, and life sciences, as well as from everyday life. Technology used in this course include statistical software such as R.

  • Spring 2021

MATH 144: Statistics for Business, Economics and Management

This is very much like MATH 145 but uses data mainly drawn from the fields of business, economics, and management.

  • Spring 2022

MATH 111: Calculus I

Course deals with calculus of functions of one variable. Topics include limits, continuity, derivatives, applications of derivatives (problems of motion, graphing, and optimization), antiderivatives, and an introduction to the definite integral. Functions covered include polynomial, rational, exponential, logarithmic, trigonometric, and piecewise-defined functions.

  • Fall 2020

MATH 155: Basic Statistical Reasoning

This course covers basic concepts involved in statistical reasoning, such as sampling and experimental design, description of data, normal approximation to data, correlation and regression, and probability. Emphasis is placed on understanding the use of statistics rather than on how to do statistical analysis.

  • Fall 2021

MATH 246: Intermediate Statistics

The course covers statistical methods not typically covered in introductory statistics courses. Topics include multivariate analysis and nonparametric techniques, bootstrapping and jackknife methods, and two-way ANOVA. Emphasis is placed on working with data sets from a broad variety of disciplines with an exploratory data analysis approach. The course uses R statistical programming software for analyzing data.

  • Fall 2021
  • Fall 2022

MATH 105: Mathematics for Decision Making

This course mainly covers basic concepts in financial mathematics such as simple interest, compound interest, annuities, inflation and consumer price index. Other topics include linear programming, and basic probability theory.

  • Fall 2020
  • Fall 2021

MATH 104: Finite Mathematics with Calculus

  • Spring 2023

MATH 321: Graph Theory & Combinatorics

Topics covered include basic properties of graphs, various graph models, Eulerian paths and trails, Hamilton circuits, planar graphs, chromatic polynomial, trees, network algorithms, and network flows. Combinatorics part includes counting principles, generating functions, inclusion-exclusion, among others.

  • Fall 2022

Courses Taught at Syracuse University

MATH 117: Foundational Mathematics via problem solving I

One course in three-course sequence. Number concepts and relationships (including concepts of numeration, operations, number theory). Emphasizing learning through problem solving.

  • Fall 2018
  • Fall 2019

MATH 118: Foundational Mathematics via problem solving II

One course in a three-course sequence. Rational numbers, real numbers, patterns, and functions. Emphasizing learning through problem solving.

  • Spring 2019
  • Spring 2020

MATH 121: Probability and Statistics for Liberal Arts I

First in a two-course sequence. Teaches probability and statistics by focusing on data and reasoning. Topics include displaying data, numerical measures of data, elementary probability, discrete distributions, normal distributions, confidence intervals.

  • Summer 2016
  • Summer 2017
  • Summer 2018

MATH 122: Probability and Statistics for Liberal Arts II

Second in a two-course sequence. Teaches probability and statistics focusing on data and reasoning. Topics include hypothesis testing, linear correlation, linear regression, nonparametric methods, statistical process control, solving liner equations, matrices, Markov chains.

  • Summer 2020

MATH 193: Algebra-infused Pre-calculus

Polynomial, rational, exponential, and logarithmic functions. Analytical trigonometry and trigonometric functions. Unlike MATH 194, this course lays emphasis on algebra throughout the course.

  • Fall 2016

MATH 194: Regular Pre-calculus

Course covers polynomial, rational, exponential, and logarithmic functions. Course also includes analytical trigonometry and trigonometric functions.

  • Fall 2015

MATH 285: Calculus for Life Sciences I

This is the first course in a two-course, terminal calculus sequence. It is designed to introduce students to the beauty and power of calculus. Topics include functions, limits, the derivative, tangent lines, curve sketching, exponential and logarithmic functions and the calculus of several variables. Applications to the life sciences are emphasized.

  • Fall 2017