Mathematics Courses

Master comprehensive mathematical concepts and problem-solving techniques essential for STEM careers, academic success, and quantitative reasoning across diverse professional applications from engineering to data science to economic analysis. Develop strong algebra and precalculus foundation including polynomial functions, exponential and logarithmic functions, trigonometry, and mathematical modeling for preparing for advanced mathematics and science coursework. Learn calculus including differential calculus, integral calculus, multivariable calculus, and differential equations with applications in physics, engineering, economics, and optimization problems for STEM career preparation. Master statistics and probability including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and experimental design for data analysis careers and research methodology across all scientific disciplines. Study linear algebra including vector spaces, matrix operations, eigenvalues, and linear transformations for applications in computer graphics, machine learning, quantum mechanics, and engineering systems analysis. Develop discrete mathematics knowledge including combinatorics, graph theory, logic, and proof techniques for computer science, cryptography, and mathematical reasoning in various professional contexts. Learn mathematical modeling including differential equations, optimization theory, and numerical methods for solving real-world problems in engineering, physics, biology, and economics using mathematical frameworks. Master abstract mathematics including real analysis, complex analysis, and advanced mathematical proofs for graduate study preparation and theoretical mathematics careers. Study applied mathematics including mathematical physics, mathematical biology, and mathematical finance for interdisciplinary applications and specialized career paths. Develop computational mathematics skills including numerical analysis, algorithm development, and mathematical software (MATLAB, Mathematica, Python) for technical problem-solving and scientific computing applications. Learn geometry and topology including Euclidean geometry, non-Euclidean geometry, and topological concepts for advanced mathematics study and applications in physics and computer science. Master mathematical logic including formal logic, set theory, and foundations of mathematics for computer science applications and philosophical understanding of mathematical systems. Study operations research including optimization, linear programming, queuing theory, and decision analysis for business analytics, logistics, and management science applications. Develop teaching mathematics skills including pedagogy, curriculum development, and mathematical communication for education careers and mathematical outreach. Learn actuarial mathematics including probability theory, financial mathematics, and risk assessment for insurance industry and financial services careers. Master cryptography and coding theory including number theory applications, encryption algorithms, and error-correcting codes for cybersecurity and information technology applications. Study mathematical history and philosophy including development of mathematical concepts, famous mathematicians, and mathematical culture for deeper understanding and appreciation of mathematical knowledge. Understand research methodology including mathematical research techniques, academic writing, and presentation skills for graduate study and mathematical research careers. Learn interdisciplinary applications including bioinformatics, computational chemistry, and mathematical psychology for emerging fields requiring strong mathematical foundation. Prepare for careers in education, research, technology, finance, or advanced study with comprehensive mathematical knowledge, problem-solving skills, and quantitative reasoning abilities essential for success in mathematics-dependent fields.