Math Courses at Rochester Institute of Technology
The School of Mathematical Sciences at Rochester Institute of Technology (RIT) offers students various math courses that will allow them to attain a BSc. in Applied Mathematics, a BSc. degree in Computational Mathematics. Math courses are also part of the requirements for other majors and programs.
Just like Susan Gordona, the Senior VP of marketplace strategy at Fidelity Investments and an alumna of Rochester's School of Mathematical Sciences, a notable number of students have also benefited from the Mathematics program offered at the institution.
Below are some of the math courses offered at RIT.
1. MATH 181: Project-Based Calculus I
This course is the first of a two-part course recommended for students majoring in mathematics, science, or engineering. Instructed by Maurino Bautista, the course emphasizes the understanding of mathematical concepts and their application in solving physical problems. The course covers various topics such as functions, continuity, limits, the derivative, rules of differentiation, and applications of the derivative among others.
2. MATH 190-Discrete Mathematics for Computing
Students will be introduced to the concepts and techniques from discrete mathematics that are applied in Computer Science. The course is recommended for students that wish to pursue a major in Computer Science and other related programs. This course instructed by David Barth-Hart discusses various topics such as the fundamentals of propositional and predicate calculus, set theory, relations, recursive structures, and counting.
3. MATH 241 - Linear Algebra
This course introduces students to the basic concepts of linear algebra, and techniques of matrix manipulation. Some of the topics discussed in the course include linear transformations, matrix arithmetic, Gaussian elimination, vector spaces, determinants, and linear independence among others. The course is instructed by Anurag Agarwal and can be applied in various professional fields such as engineering, data science, and cryptography.
4. MATH 219 - Multivariable Calculus
This course studies calculus of multivariate functions, and vectors, vector-valued functions, and their derivatives. Taught by Ephraim Agyingi, this course covers topics such as limits, partial derivatives, multiple integrals, and includes applications in physics. The course is applicable in various professional fields such as engineering and economics.
5. MATH 326 - Boundary Value Problems
Instructed by Manuela Campanelli, this course acts as an introduction to the concepts of boundary value problems. Some of the topics discussed in the course include Fourier series, Laplace's equation, separation of variables, the heat equation, and the wave equation in Cartesian and polar coordinate systems. The course is recommended for students who wish to pursue careers in physics-related fields.
6. MATH 381 - Complex Variables
Students in this course cover the concepts and applications of complex variables. The course is instructed by Michael Cromer and covers topics like the algebra of complex numbers, analytic functions, Cauchy-Riemann equations, complex integration, Cauchy's integral theorem and integral formulas among other topics. The concepts learned in the course are applicable in engineering and physics-related fields.
7. MATH 421 - Mathematical Modeling
Mathematical Modeling, instructed by Bernard Brooks, discusses the concepts of problem-solving, formulation of the mathematical model from physical considerations, solution of the mathematical problem, testing the model, and interpretation of results. Students taking the course will explore problems from physical sciences, engineering, and economics fields of study.
8. MATH 411 - Numerical Analysis
Instructed by Nathan Cahill, Numerical analysis covers numerical techniques that help solve nonlinear equations, differentiation, interpolation, integration, and initial value problems. This course is recommended for students that wish to pursue a math major or any other math-related major, such as those in engineering and computer science career fields.
9. MATH 251 - Probability and Statistics I
This is the first course in probability and statistics. It discusses the basic concepts of probability and statistics and how they are applied in the real world. Students will learn various topics such as sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, and the distributions of discrete and continuous random variables among others. The course is instructed by Mihail Barbosu and is recommended for students that wish to major in Statistics.
10. MATH 161 - Applied Calculus
Applied Calculus acts as an introduction to the study of differential and integral calculus. The course also includes the study of functions and graphs, limits, continuity, the derivative, derivative formulas, applications of derivatives, the definite integral, the Fundamental Theorem of Calculus, and basic techniques of integral approximation among other topics. This course is instructed by Carrie Lahnovych and is applicable in business, management sciences, and life sciences.
After reviewing some of the math courses offered at RIT, students can review other math courses offered at the institution before settling for the best course combination that will help them achieve their degree or certificate programs.