faculty
Adriano Marzullo, PhD
Associate Teaching Professor
Mathematics
Education
2010 | University of Missouri - Columbia | PhD |
2007 | University of Missouri - Columbia | Master in Applied Mathematics |
Teaching
- Calculus Sequence
- Ordinary Differential Equations
- Discrete Mathematics
- Probability Theory
Programs
Programs
Courses
A brief introduction to the concepts of calculus and its applications to social and scientific fields. Topics include: functions and models, derivatives of algebraic and exponential functions, optimization problems, antiderivatives, and the concept of integrals. This is the second semester of the college math sequence designed for students interested in Biology and Life Sciences. This course fulfills the general education core requirements for Biology and Life Sciences majors who matriculated prior to Fall 2012 and has been approved by University Studies Curriculum for students matriculating in Fall 2012 or later.
An introduction to mathematical reasoning, mathematical logic, and methods of proof. Topics include: properties of numbers, elementary counting methods, discrete structures, Boolean algebra, introduction to directed and undirected graphs, methods of proof, and applications in mathematics and computer science. This is the first semester of a discrete mathematics sequence designed for Mathematics, Computer and Information Sciences majors. This course fulfills the general education core requirements for Mathematics, Computer and Information Sciences majors who matriculated prior to Fall 2012 and has been approved by University Studies Curriculum for students matriculating in Fall 2012 or later.
An introduction to mathematical reasoning, mathematical logic, and methods of proof. Topics include: properties of numbers, elementary counting methods, discrete structures, Boolean algebra, introduction to directed and undirected graphs, methods of proof, and applications in mathematics and computer science. This is the first semester of a discrete mathematics sequence designed for Mathematics, Computer and Information Sciences majors. This course fulfills the general education core requirements for Mathematics, Computer and Information Sciences majors who matriculated prior to Fall 2012 and has been approved by University Studies Curriculum for students matriculating in Fall 2012 or later.
A study of mathematical foundations for advanced mathematics and theoretical computer science. Topics include: mathematical reasoning including mathematical induction, combinatorial analysis including simple probability, discrete structures (such as sets, recursions, relations, and trees), algorithmic thinking, applications, and modeling (such as combinatorial circuits). This is the second semester of a discrete mathematics sequence designed for Mathematics and Computer Information Sciences majors. This course fulfills the general education core requirements for Mathematics, Computer and Information Sciences majors who matriculated prior to Fall 2012 and has been approved by University Studies Curriculum for students matriculating in Fall 2012 or later.
A study of mathematical foundations for advanced mathematics and theoretical computer science. Topics include: mathematical reasoning including mathematical induction, combinatorial analysis including simple probability, discrete structures (such as sets, recursions, relations, and trees), algorithmic thinking, applications, and modeling (such as combinatorial circuits). This is the second semester of a discrete mathematics sequence designed for Mathematics and Computer Information Sciences majors. This course fulfills the general education core requirements for Mathematics, Computer and Information Sciences majors who matriculated prior to Fall 2012 and has been approved by University Studies Curriculum for students matriculating in Fall 2012 or later.
Introduction to exploratory data analysis using R, including graphical techniques, confirmatory statistics, interval estimates, hypothesis tests, bootstrap estimates.
Continuation of MTH 331. Classical estimation methods and hypothesis testing are studied. This course also covers Chi square tests for goodness-of-fit and independence, regression and correlation analysis, and one-way and two-way analysis of variance including factorial designs and tests for the separation of means.
Online and Continuing Education Courses
An introduction to statistics and probability. Topics include: measures of central tendency and dispersion, elementary probability, binomial, normal, and t-distributions, hypothesis testing and confidence intervals, and a survey of correlation and regression analysis. It is recommended for Psychology, Sociology, Nursing, or other Liberal Arts and Fine Arts majors whose degree program does not require any other courses in mathematics. The course fulfills the general education requirements for sociology, psychology, nursing, education, and other related majors who matriculated prior to Fall 2012 and has been approved by University Studies Curriculum for students matriculating in Fall 2012 or later.
An intensive study of differential calculus and its applications, and an introduction to integrals, Topics include: limits, continuity, indeterminate forms, differentiation and integration of algebraic and transcendental functions, implicit and logarithmic differentiation, and applications to science and engineering. This is the first semester of the standard calculus sequence designed for students interested in Mathematics, Physics, Chemistry, Engineering and Mathematical/Computational Biology. This course fulfills the general education core requirements for Mathematics, Physics, Chemistry, Engineering and Mathematical/Computational Biology majors who matriculated prior to Fall 2012 and has been approved by University Studies Curriculum for students matriculating in Fall 2012 or later.
Register for this course.
An introduction to the main concepts and techniques of college algebra. Topics include: linear, quadratic, exponential and logarithmic functions, as well as modeling of data using functions. This is the first semester of the college math sequence designed for students interested in Biology and Life Sciences. This course fulfills the general education core requirements for Biology and Life Sciences majors who matriculated prior to Fall 2012 and has been approved by University Studies Curriculum for students matriculating in Fall 2012 or later.
Register for this course.
A study of modern mathematics (excluding calculus) employed in business. Topics include: functions and linear models, systems of linear equations, linear programming, mathematics of finance, sets and counting, and basic probability and statistics. This course is the required math course for Business majors. This course fulfills the general education requirements for Business majors who matriculated prior to Fall 2012 and has been approved by University Studies Curriculum for students matriculating in Fall 2012 or later.
Register for this course.
Research
Research interests
- Commutative algebra
- Arithmetic combinatorics
- Combinatorial geometry
- mathematics education
Select publications
- Adriano Marzullo (2013).
On the Periodicity of the First Betti Number of the Semigroup Rings under Translations
Journal of the Ramanujan Mathematical Society, Soc. 28, N, 195 − 212. - Jeremy Chapman, Adriano Marzullo (2015).
On rapid generation of SL2(Zq)
Online Journal of Analytic Combinatorics, Issue 10