Math Courses at Baruch College
Students are excited when enrolling to their dream college to pursue their career path. At Baruch University, there are several courses offered that fit every student's curriculum towards their degree. Many notable alumni have entered this university and come out very successful, such as actress and dancer Jennifer Lopez. Here are a list of mathematics classes students can enroll in at Baruch College.
1. MTH 2009: Precalculus
This 3 credit course introduces students to applied calculus. Topics include functions, limits and continuity, the circle, tangent lines, rates of change, differentiation of algebraic functions, matrices, and systems of linear equations. Students should be familiar with TI 89/92 calculators as well as Excel. This course is also not open to students who completed MTH 2000, 2001, 2010, 2030, 2205, 2206, 2207, 2610, or 2630 or any mathematics course at the 3000-level or above. The professor for this course is Edmonda Simixhiu.
2. MTH 3035: Vector Calculus
This class introduces vector fields, line integrals and surface integrals. Students focus specifically on on four versions of the Fundamental Theorem of Calculus: the fundamental theorem of calculus for vector fields on curves; Green’s theorem; Stokes’s theorem; and the Divergence theorem. This course is 3 credits towards students' degrees.
3. MTH 3120: Elementary Probability
This course is 3 credits. It introduces the basic elements of discrete probability. Topics include sample spaces, rules of probability, independence, conditional probability, Bayes’ Theorem, and discrete multivariate. Prerequisites include at least one semester of calculus which is used to consider continuous distributions like the uniform, exponential and normal distributions.
4. MTH 4030: Topology
Professor Alfred Friedman introduces the fundamental and unifying concepts of one of the pillars of contemporary mathematics. Topics include metric spaces, general topological spaces, connectedness, and compactness. There will be emphasis on the relationships between the topological concepts and the corresponding concepts in real numbers is emphasized. The course is 3 credits.
5. MTH 4110: Differential Equations
This course is 3 credits. Topics that will be discussed in this course include existence and uniqueness of solutions, first order equations, linear equations, and series solutions of second order linear equations. Emphasis will be placed on Laplace Transforms, linear systems, boundary value problems, and numerical methods.
6. MTH 4130: Mathematics of Data Analysis
This course is an introduction to statistics with a focus on data analysis. Topics include confidence intervals, hypothesis testing, linear regression, exponential smoothing models, autoregressive, and moving average models. Students are introduced to practical data analysis skills using statistical software such as SAS or MATLAB. This course is 3 credits and taught by Giulio Trigila.
7. MTH 4140: Graph Theory
Ivan Matic is the professor for this course. He covers basic topics in graph theory, including connectivity, Eulerian graphs, planarity, genus, Hamitonicity, isomorphism, chromatic number, Ramsey numbers, and enumeration. Topics also include networks with graph algorithms. This is a 3 credit course.
8. MTH 4300: Algorithms, Computers and Programming II
This course is intended to be a continuation of MTH 3300. It focuses on the notion of classes, along with the concepts of pointers, inheritance, and polymorphism. Students will learn scientific computing, quantitative finance, and Windows programming as it will be a main part of the course. This is a 3 credit course taught by professor Ivan Matic.
9. MTH 4340: Switching Theory
This course introduces logical design and switching circuit theory. Topics include Boolean algebra, Boolean functions, Karnaugh maps, and the Quine-McCluskey tabulation method. There will be emphasis on gate implementation, sequential logic, synchronous and asynchronous sequential circuits, and applications. The course is 3 credits.
10. MTH 4500: Introduction to Financial Mathematics
This is a 3 credit course. Professor Andrew Obus introduces students to the mathematical methods used in finance and their practical applications. Topics include discrete and continuous probability, brownian motion, finite difference methods, Monte Carlo simulation, Newton’s method, and the least squares problem. These methods will be applied to the Black-Scholes equation, price American options, price exotic options, and find the zero curve.
These courses are available to students who need them for their degree. They prepare students for their future careers in society. Just as the notable alumni, they will also exit the university's doors as successful people as they have gathered knowledge throughout the years! Earning their class credits will be packed with knowledge and fun!