Alvin Estrada

Alvin Estrada

Alvin Estrada
Lecturer
Phone number: 
212.237.1434
Room number and address: 
6.65.16 NB

Education

Public School Teacher Certification in Mathematics (7-12) from the University of the State of New York Education Department (2012)
Art & Science of Teaching Certification, Education, Long Island University Post (2009)
M.A., Adelphi University, (2012, Mathematics Education)
B.S., Stony Brook University (2008, Applie Mathematics & Statistics)
B.S., Stony Brook University (2008, Mathematics)

Bio

Alvin Estrada is Lecturer in the Department of Mathematics and Computer Science with teaching and service of mathematics.  A native of New York and trained in mathematics education in the United States (M.A., Adelphi University, 2012), he  commenced his academic career.  

at John Jay College of Criminal Justice, City University of New York (CUNY).  He is also the assistant deputy director of the Math Foundations Quantitative Reasoning Program.  As deputy director, he develops curriculum and policies that support students' learning of mathematics at the college.  His professional portfolio includes 9+ years of teaching, tutoring, and project researching in mathematics, statistics, and computer science courses at both public and private serving institutions of higher education.  He has participated as a spectator for the Urban Science Education Research Seminar (USER-S) series at the Graduate Center, CUNY.  Professor Estrada is currently working with the Early Start Program to mentor students for the First Year Student Showcase at John Jay College.

Professor Estrada earned the Public School Teacher Certification in Mathematics (7-12) from the University of the State of New York Education Department.  Professor Estrada also received an Art & Science of Teaching Certification from Long Island University Post. 

Professor Estrada's research interests includes applied mathematics & statistics, history of mathematics, mathematics education (elementary, secondary, and collegiate), number theory, and urban education in SMT (science, mathematics & technology).  (Related topics: STEM teaching with technology, and urban education in the learning sciences.)

Alvin Estrada received his M.A. in Mathematics Education from Adelphi University, B.S. in Mathematics, and B.S. in Applied Mathematics & Statistics from Stony Brook University, State University of New York (SUNY). 

JJC Affiliations

COACHE Working Group; Early Start Program; First Year Student Showcase Mentor; Graduate Studies Statistics Workshops Facilitator

Professional Memberships

Director to the Math Foundations and Quantitative Reasoning Program;
Course Coordinator for STA 250 (Principles and Methods of Statistics);
Assistant Deputy Director to the Math Foundations and Quantitative Reasoning Program;
Member to the Department Mathematics Working Group;
Member to the Department Curriculum Committee;
Advisor for Department Student Advisement.

Course Taught

Teaching

Below is a list of classes I am currently teaching at John Jay College.

MAT 105 College Algebra

MAT 204 Discrete Structures

STA 250 Principles and Methods of Statistics

 

The following is a list of courses I have taught at John Jay College.

John Jay College Math Course Descriptions

  • MAT 098, Pre-Freshman Math (Summer 2015 - present)
    • This course prepares students for the study of pre-calculus and develops their mathematical maturity. The topics to be covered include review of the fundamentals of algebra, relations, functions, solutions of first-and second- degree equations and inequalities, systems of equations, matrices and determinants, binomial theorem, mathematical induction, polynomial functions, exponential and logarithmic functions, analytic geometry and conic sections, geometric and arithmetic sequences and series, and miscellaneous topics. (Early Start Students Only)
  • MAT 104, Paced Modern Mathematics (Fall 2012, Spring 2013, Summer 2012, 2013)
    • This course gives a systemic treatment of the foundations of college algebra. Topics include complex numbers, systems of linear equations and inequalities, functions, the theory of equations, logarithms and exponential functions. The student will improve problem solving skills by applying the concepts learned to applications. Students will be required to use an online homework software package. This course is a four- hour alternative version of MAT 105 and is designed for students who do not place into MAT 105.
  • MAT 105, College Algebra (Fall 2013 - present, Spring 2014 - 2018, Summer 2018, Winter 2015, 2016, 2018)
    • This course prepares students for the study of pre-calculus and develops their mathematical maturity. The topics to be covered include review of the fundamentals of algebra, relations, functions, solutions of first-and second- degree equations and inequalities, systems of equations, matrices and determinants, binomial theorem, mathematical induction, polynomial functions, exponential and logarithmic functions, analytic geometry and conic sections, geometric and arithmetic sequences and series, and miscellaneous topics.
  • MAT 106, Liberal Arts Mathematics (Fall 2014)
    • This course examines the importance of mathematics in Contemporary society. Students will examine the mathematics behind everyday activities such as scheduling deliveries in an urban area, sampling methods for decision making, selection of a good voting system for elections with three or more candidates and growth and decline in consumer finance. Students will develop an understanding and appreciation of the elementary mathematical principles that surround us.
  • MAT 108, Social Science Mathematics (Fall 2013, 2016, Spring 2013, 2014, Summer 2014, Winter 2017, 2019)
    • Recommended for students interested in the role of mathematical models in the quantification of the social sciences. Emphasis on mathematical skills and topics basic to the understanding of probability, linear programming, the power index, learning models, statistics, etc.
  • MAT 141, Pre-calculus (Fall 2018)
    • Recommended for Forensic Science majors.  Topics include a study of the conic section, systems of linear equations, determinants, two-dimensional vector geometry functions, and limits.
  • MAT 204, Discrete Structures (Fall 2017, 2018, 2019, Spring 2015, 2016, 2017, 2019)
    • The course introduces fundamental ideas in discrete structures,serving as a basis for subsequent courses in Computer Information Science.Topics include sets, functions and relations, the Pigeonhole Principle, basiccounting methods, elementary logic, mathematical induction, recursion, trees and graph theory.
  • MAT 351, Introduction to Ordinary Differential Equations (Spring 2018)
    • Differential equations are introduced as a mathematical expression of the postulates and principles describing growth, decay, and oscillatory phenomena.  Examples are chosen from biology, chemistry, economics, medicine, the public sector and the scoial sciences.  The interprettion of the matematical solutions with respect to the given problems is emphasized.  The use of computers in problem solving is also inlcuded.
  • MAT 361, Introduction to the Functions of a Complex Variable (Spring 2019)
    • Introduction to the system of complex numbers, functions of a complex variable, differentiation and integration.  Cauchy integral theorems and formulas; sequences and series, power series, Laurent expansion, singularities, etc.
  • STA 250, Principles and Methods of Statistics (Fall 2015 - present, Spring 2015 - present)
    • Introduction to statistics as applied to the social sciences. Emphasis on thebasic assumptions underlying statistical concepts and the role of statistics inthe analysis and interpretation of data. Problems in frequency distribution,measures of location and variation, probability and sampling, tests ofhypotheses and significance, linear regression and correlation, time series andindex numbers.  (Note: This course includes the use of SPSS software.​)

Languages spoken/fluent in

English, Spanish
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