Piotr Bialas
Adjunct Assistant Professor
Mathematics
EMAIL: pbialas@bmcc.cuny.edu
Office:
Office Hours: Wednesday 3:45 P.M. - 4:45 P.M. Room: N564
Phone:
Affiliated with City University of New York, Borough of Manhattan Community College since 1996.
Taught Applied Statistical Analysis as Adjunct Assistant Professor – MSILR Program, Zicklin School of Business, Baruch College from 2006 until 2016.
Retired teacher of mathematics and statistics (Board of Ed. NYC).
Expertise
Probability: Students’ Concepts of Probability
Statistics Education
Mathematics Education
Technology: TI Graphic Calculators, R and R Studio and other computer application programs used in teaching various Statistics and Mathematics courses.
Degrees
Ed.D. (2001) Teachers College, Columbia University, Mathematics
M.A. (1994) Teachers College, Columbia University, Mathematics
B.A. (1980) University of Warsaw, Poland, Mathematics
Courses Taught
- This course is the first algebra course offered at the College. It includes such topics as algebraic representation, signed numbers, operations with polynomials, factoring, the solution of linear equations, the coordinate system, the solution of simultaneous linear equations of two variables, and graphing. This course is designed to prepare students for the CUNY Freshman Skills Assessment Test required for transfer to the upper division of CUNY, as well as for more advanced math courses. If a student passes MAT 12, the student should not register for MAT 51, since MAT 12 combines MAT 8 and MAT 51.
Students who passed MAT 12, MAT 14, MAT 41, MAT 51, MAT 56, MAT 160, MAT 161, MAT 56.5, MAT 150.5 cannot take MAT 161.5.
Course Syllabus - This course is the second algebra course offered at the college. It is open to students who have completed elementary algebra or its equivalent. It includes such topics as: factoring, solutions of linear and quadratic equations, trigonometric relationships, exponents, logarithms, and the graphs of quadratic equations.
Students who passed MAT 12, MAT 14, MAT 41, MAT 51, MAT 56, MAT 160, MAT 161, MAT 56.5, MAT 150.5 cannot take MAT 161.5.
Course Syllabus - This course covers basic statistics, including: measures of central tendency, measures of dispersion, graphs, correlation, the regression line, confidence intervals, the significance of differences, and hypothesis testing, including z-tests, t-tests, and chi-square tests.
Prerequisites: MAT 12, MAT 14, MAT 41, MAT 51 or MAT 161.5
Course Syllabus - This course covers basic algebraic and trigonometric skills, algebraic equations, and functions. Topics include: mathematical induction, complex numbers, and the binomial theorem.
Prerequisite: MAT 157 or MAT 157.5
Course Syllabus - This course covers statistical concepts and techniques with applications. Topics include probability, random variables, the binomial distribution, the hyper-geometric distribution, measures of central tendency, the normal distribution, precision and confidence intervals, sample design and computer projects.
Prerequisite: MAT 206 or MAT 206.5
Course Syllabus
Research and Projects
2005-2004 CUNY CC Collaborative Research Study: An Investigation Into Patterns Of Uses And Effects Of Self-Medication in Caribbean Immigrant Communities
Nkechi Agwu, nagwu@bmcc.cuny.edu; Piotr Bialas pbialas@bmcc.cuny.edu; Brahmadeo Dewprashad, BDewprashad@bmcc.cuny.edu; Barbara Tacinelli, BTacinelli@bmcc.cuny.edu
Publications
MATHEMATICS TEACHING RESEARCH JOURNAL (MTRJ) commons.hostos.cuny.edu/mtr
FALL/WINTER 2018, Vol 10 no 3-4
Using R/RStudio In An Introductory Statistics Course
Nkechi Agwu and Piotr Bialas
nagwu@bmcc.cuny.edu pbialas@bmcc.cuny.edu
Honors, Awards and Affiliations
Additional Information
Attended and presented at numerous local and International conferences. Presentations included applications of TI graphing calculators, Excel, and other computer application programs to teaching various Mathematics and Statistics courses.
