Why Mathematics at NOVA? Tailored for individuals aiming to transfer to a four-year college or university for a baccalaureate degree. The curriculum focuses on preparing students for majors in mathematics-related fields, including mathematics, mathematics education, statistics, operations research, applied mathematics, or computer science.

The Mathematics, Sciences, Technologies and Business division prepares students with problem solving skills, critical thinking, research, creativity and data analysis necessary to be successful in many careers.

Northern Virginia Community College. Course Content Summaries. Math

3 days ago · NOVA Code: 8802 Purpose: The curriculum is designed for individuals who plan to transfer to a four-year college or university to complete a baccalaureate degree. This curriculum is designed to prepare students to major in one of the following fields: mathematics, mathematics education, statistics, operations research, applied mathematics, or ...

The Department of Mathematics is committed to excellence in teaching, innovative research, and providing a student-centered program. The Mathematics faculty work closely with students to create an engaging and exciting learning environment.

Earn your bachelor of science in mathematics at Nova Southeastern University and gain skills in applied and pure mathematics as well as analytical sciences.

Presents concepts of limits, derivatives, differentiation of various types of functions and use of differentiation rules, application of differentiation, antiderivatives, integrals and applications of integration. This is a Passport and UCGS transfer course. Lecture 4 …

4 days ago · As of the Fall 2021 semester, most NOVA students will not be required to take placement tests to determine placement for entry level English and Math courses.* Students’ eligibility for course enrollment is based on their U.S. high school grade point average (GPA) or their standardized test scores (i.e. SAT, ACT, or GED).

Apr 9, 2025 · MTH 288 - Discrete Mathematics (3 CR.) Presents topics in sets, counting, graphs, logic, proofs, functions, relations, mathematical induction, Boolean Algebra, and recurrence relations. Lecture 3 credits.

Presents topics in systems of equations, matrices, linear programming, mathematics of finance, counting theory, probability, and Markov Chains. Emphasis is placed on the development of mathematical skills that are then applied to business applications and models.