Dale M. Dawes
Associate Professor
Mathematics
EMAIL: ddawes@bmcc.cuny.edu
Office: N-586
Office Hours:
Phone: +1 (212) 346-8567
Dale Dawes earned his Ph.D. and M.Phil. in Mathematics Education at Teachers College, Columbia University and is an Assistant Professor at the City University of New York (CUNY): Borough of Manhattan Community College (BMCC). To fulfill his desire to teach and alleviate students’ apprehension towards mathematics, he joined CUNY as an Adjunct Lecturer in fall 2008, was promoted to full-time Lecturer in spring 2010, Instructor in fall 2016 and Assistant Professor in spring 2017.
As a former Developmental Mathematics Coordinator at BMCC, he was essential to the integration and management of online educational technology by the Mathematics Department. Dale developed and teaches several E-Learning courses. His technique and research interest are using the real-time analytics of an online preparation and rigorous enhancement platforms (OPREP) to transform a classroom into an innovative teaching environment where an instructor’s pedagogical approach is tailored to the needs of each class and each student. Dale shares his implementation and best practices expertise via presentations and webinars at different institutions and conferences.
Dale holds his M.S. in Risk Management from St. John’s University where he worked as a Graduate Research Assistant and graduated Beta Gamma Sigma. Subsequently, he passed Actuarial Science Exam P and worked as an Insurance Risk Analyst at Moody’s Investor Services. His talent for teaching and passion for mathematics were cultivated at the University of Pittsburgh, where he tutored in the Upward Bound Program. Dale graduated summa cum laude and received a Culver Award from University of Pittsburgh’s Mathematics Department.
Expertise
Mathematics Teacher Education, Mathematics Education, Educational Technology, Developmental Mathematics Education, Applied Statistics, Applied Mathematics
Degrees
Dale Dawes earned his Ph.D. and M.Phil. in Mathematics Education at Teachers College, Columbia University and is an Assistant Professor at the City University of New York (CUNY).
Courses Taught
- This is a course in arithmetic skills and the rudiments of algebra. Topics covered include whole numbers, fractions, decimals, percents, proportions, signed numbers, and solving simple linear equations.
Pre/Co-Requisites: Co-Requisite: ESL 062. Students who score less than 26 on the COMPASS Pre-algebra exam are eligible to take MAT 008.
Course Syllabus - This course is a combination of arithmetic and elementary algebra. It includes the arithmetic of integers, fractions, decimals, and percent. In addition, such topics as signed numbers, algebraic representation, operations with polynomials, factoring, the solution of simultaneous linear equations of two variables, and graphing are covered.
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 developmental course provides an alternative and accelerated pathway to the college-level liberal arts mathematics courses. The course will focus on applications of numerical reason to make sense of the world around us. Applications of arithmetic, proportional reasoning and algebra are emphasized. This course cannot be used as a prerequisite for MAT 056 and is not suited for Science, Technology, Engineering or Mathematics (STEM) students.
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 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 - The course aims to teach students how to think competently about quantitative information. Students learn how to take real world problems, translate them into mathematics, and solve them. Topics include thinking critically, numbers in the real world, financial management, statistical reasoning, probability, and mathematical modeling.
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 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 - This is an integrated course in analytic geometry and calculus, applied to functions of a single variable. It covers a study of rectangular coordinates in the plane, equations of conic sections, functions, limits, continuity, related rates, differentiation of algebraic and transcendental functions, Rolle's Theorem, the Mean Value Theorem, maxima and minima, and integration.
Prerequisite: MAT 206 or MAT 206.5
Course Syllabus - This course is an introduction to the concepts of integration. It covers the integration of algebraic and transcendental functions. Topics include the anti-derivative, the definite integral, areas, volumes, applications, the improper integral, infinite sequences and series, Taylor’s Theorem. MAT 302 has a computer laboratory component. Students utilize computer software such as graphing packages, a computer algebra system, and a mathematical word processor to complete laboratory assignments associated with their calculus course.
Prerequisite: MAT 301
Course Syllabus - This course covers matrices, determinants, systems of linear equations, vector spaces, eigenvalues and eigenvectors, Boolean algebra, switching circuits, Boolean functions, minimal forms, Karnaugh maps.
Prerequisite: MAT 302, or permission of the department
Course Syllabus - This course covers compound statements, sets and subsets, partitions and counting, probability theory, vectors, matrices, and linear programming. Prerequisites: MAT 012 or MAT 051, if needed; also MAT 056
