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Spring 2025 Teaching

 

  • CSI 30 Discrete Mathematics I:Introduction to mathematical methods in computer science. Topics include basic concepts of mathematical logic, set theory, elementary number theory, counting methods and probability, and informal proof.

  • Math 28 Intermediate Algebra and Trigonometry.

Fall 2024 Teaching

 

  • CSI 31 Introduction to Computer Programming I.

  • Math 28 Intermediate Algebra and Trigonometry.

  • Math 23.5 This is a probability and statistics course. Probability and statistics topics include organization and presentation of data, measures of central tendency and variation, correlation and linear regression, elementary probability, the binomial and normal distributions, sampling distributions, the central limit theorem, confidence intervals, student's t-distribution, and hypothesis tests. Elementary algebra topics include fractions, percent, adding and subtracting polynomials, linear and quadratic equations, literal equations, solving word problems, inequalities, and functions.

Spring 2024 Teaching

 

  • CSI 30 Discrete Mathematics I:Introduction to mathematical methods in computer science. Topics include basic concepts of mathematical logic, set theory, elementary number theory, counting methods and probability, and informal proof.

  • Math 28 Intermediate Algebra and Trigonometry.

  • Math 23.5 This is a probability and statistics course. Probability and statistics topics include organization and presentation of data, measures of central tendency and variation, correlation and linear regression, elementary probability, the binomial and normal distributions, sampling distributions, the central limit theorem, confidence intervals, student's t-distribution, and hypothesis tests. Elementary algebra topics include fractions, percent, adding and subtracting polynomials, linear and quadratic equations, literal equations, solving word problems, inequalities, and functions.

Fall 2023 Teaching

 

  • CSI 31 Introduction to Computer Programming I.

  • Math 28 Intermediate Algebra and Trigonometry.

Spring 2023 Teaching

 

  • Math 46 Abstract Algebra: groups, rings, fields

  • Math 13 Trigonometry and college algebra: topics selected from vectors, trigonometry, variation, logarithms, complex numbers and DeMoivre's theorem, theory of equations, and system of equations.

  • Math 23 This is a probability and statistics course. Probability and statistics topics include organization and presentation of data, measures of central tendency and variation, correlation and linear regression, elementary probability, the binomial and normal distributions, sampling distributions, the central limit theorem, confidence intervals, student's t-distribution, and hypothesis tests.

Fall 2022 Teaching

 

  • CSI 31 Introduction to Computer Programming I.

  • Math 28 Intermediate Algebra and Trigonometry.

  • Math 23.5 This is a probability and statistics course with elementary algebra topics integrated to support the statistics. Probability and statistics topics include organization and presentation of data, measures of central tendency and variation, correlation and linear regression, elementary probability, the binomial and normal distributions, sampling distributions, the central limit theorem, confidence intervals, student's t-distribution, and hypothesis tests. Elementary algebra topics include fractions, percent, adding and subtracting polynomials, linear and quadratic equations, literal equations, solving word problems, inequalities, and functions.

Spring 2022 Teaching

 

  • CSI 31 Introduction to Computer Programming I.

  • Math 13 Trigonometry and college algebra: topics selected from vectors, trigonometry, variation, logarithms, complex numbers and DeMoivre's theorem, theory of equations, and system of equations.

  • MATH 42: Linear algebra Vector spaces, basis and dimension, matrices, linear transformations, determinants, solution of systems of linear equations, eigenvalues and eigenvectors.

Fall 2021 Teaching

 

  • CSI 31 Introduction to Computer Programming I.

  • Math 30 PreCalculus. It focus in the study of functions and their graphs.

  • Math GU4061: Intro to Modern Analysis. A fundamental class in a mathematics and science curriculum. It touches the notion of metric spaces, open sets, compact sets, continuity and uniform continuity of sequences of functions.

Spring 2021 Teaching

 

  • CSI 31 Introduction to Computer Programming I.

  • Math 30 PreCalculus. It focus in the study of functions and their graphs.

Fall 2020 Teaching

 

  • CSI 31 Introduction to Computer Programming I.

  • Math 30 PreCalculus. It focus in the study of functions and their graphs.

Spring 2020 Teaching

 

Fall 2019: Sabbatical leave

 

  • "Study Group in Arithmetic Geometry" Graduate Center/CUNY.

Spring 2019: Sabbatical leave

 

Fall 2018 Teaching

 

Summer 2018 Teaching

 

Spring 2018 Teaching

 

  • Math 30 Functions and their graphs in Mathematics.

  • Math 06 Algebra and Trigonometry.

  • Math 31 Calculus and Analytic Geometry.

Fall 2017 Teaching

 

Summer 2017 Teaching

 

  • Math 23 Probability and Statistics.

Spring 2017 Teaching

 

Fall 2016 Teaching

 

  • Math 23 Statistics and Probability Theory.

  • Math 05 Intermediate Algebra.

Spring 2016 Teaching

 

Winter 2016 Teaching

 

Fall 2015 Teaching

 

Spring 2015 Teaching

 

Fall 2014 Teaching

 

Spring 2014 Teaching

 

Fall 2013 Teaching

 

Spring 2013 Teaching

 

Fall 2012 Teaching

 

Fall 2011 Teaching