Ezra Halleck’s Profile

Combinatorics: algebraic, enumerative and geometric
Ezra Halleck teaches courses traditionally thought of as first and second year courses such as statistics, linear algebra and differential equations. He has a particular interest in getting students to experience the power of mathematics both as a subject in its own right and as a tool for other disciplines. He did his graduate work under the tutelage of Adriano Garsia at University of California, San Diego.
My Courses
MAT1372 Statistics with Probability, FA2022
A 3 credit but 4 hour introductory course. Topics include sample space, expectation and variance, binomial, Poisson, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do a group project comparing 2 numeric variables and present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of MS Excel and/or R.
This course is designed to prepare students for the study of Calculus. Topics include an in-depth study of functions such as polynomial functions, inverse functions, radical functions, rational functions, trigonometric functions, exponential and logarithmic functions; solving inequalities; elements of vectors and complex numbers; solving trigonometric equations and identities involving sum, double and half-angle formulas; Binomial Theorem; and progressions. A graphing calculator is required.
MAT2440 Discrete Struc I, SP2019
This course introduces the foundations of discrete mathematics as they apply to computer science, focusing on providing a solid theoretical foundation for further work. Topics include functions, relations, sets, simple proof techniques, Boolean algebra, propositional logic, elementary number theory, writing, analyzing and testing algorithms.
MAT1372 Statistics with Probability
A 3 credit but 4 hour introductory course. Topics include sample space, expectation and variance, binomial, Poisson, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do a group project comparing 2 numeric variables and present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of MS Excel and/or R.
MAT1372 Statistics with Probability, FA2017
A 3 credit but 4 hour introductory course. Topics include sample space, expectation and variance, binomial, Poisson, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do a group project comparing 2 numeric variables and present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of MS Excel and/or R.
My Projects
Interdisciplinary Studies Committee
Fall 2023, Club Hour September 21 October 19 November 16 Monday, December 11 (tentative)
City Tech’s Source for Academic Affairs Information
The Mathematics Assessment at City Tech
This website is to post information for the Assessment work in Department of Mathematics.
This group is for faculty who are participating in the rollout of WeBWorK. We are working together to: Create instructional documents for the WeBWorK end-users (both faculty and students), Develop creative problems for core Math courses, Evolve existing problems in order to enhance their educational value to students, Streamline the management of the WeBWorK system, Provide technical support and respond to user feedback in order to improve everyone’s experience of WeBWorK.
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My Clubs
Ezra Halleck hasn't created or joined any clubs yet.