Glenn F. Miller
Associate Professor
Mathematics
EMAIL: gmiller@bmcc.cuny.edu
Office: N-599L
Office Hours: Tuesday 11 am - 1 pm and Wednesday 12 - 2 pm
Phone: +1 (212) 220-1351
Expertise
Interests include fractal analysis of time series data, student assessment in Introductory Statistics courses, and pedagogy in online mathematics courses. Active in BMCC governance since 1989, currently serve as parliamentarian of the College Council and Academic Senate.
Degrees
BA in Economics and Mathematics from Franklin & Marshall College
MA in Mathematics Education from Teachers College, Columbia University
EdD in Mathematics Education from Teachers College, Columbia University
Courses Taught
- This course covers computations and measurements essential in the health science professional fields with an emphasis on nursing. Topics include units and systems of measurement, reconstitution of powdered medications, oral and parenteral dosage calculations, adult and pediatric dosage calculations based on body weight, intravenous calculations, and pediatric medication calculations. Students who passed MAT 104.5 cannot take MAT 104 course. Students who passed MAT 104 course cannot take MAT 104.5 course.
Prerequisites: MAT 12, MAT 14, MAT 41, MAT 51 or 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 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 - 4 CRS.3 HRS.2 LAB HRS.MAT 470 (Mathematical Foundations of Computer Networking (Same as CSC 470))
- This course presents the mathematical concepts underlying computer networks. The course introduces probability and stochastic process, queuing analysis, and basic graph theory and relates these topics to various layers of the seven layer Open Systems Interface (OSI) organization model of computer networks. Practical laboratory projects provide concrete illustration of theoretical concepts. Prerequisites: MAT 302
- 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
