Mathematics Department

Mathematics Courses

• Arithmetic 74

  A foundational course covering whole numbers, fractions, decimals, ratios, and percentages. Emphasis is placed on computational fluency, number sense, and structured problem solving in everyday quantitative contexts.

• Pre-Algebra 96

  A transitional course introducing variables, expressions, basic equations, and foundational algebraic reasoning. Students begin shifting from numerical computation to symbolic manipulation and structured mathematical thinking.

• Occupational Math 100 (New)

  Applied mathematics focused on workplace scenarios, including measurement systems, budgeting, unit conversions, and practical estimation techniques. The course prioritizes real-world numerical decision-making over abstract theory.

• Algebra 101

  Core algebraic structures including linear equations, inequalities, functions, and graph interpretation. Students develop fluency in symbolic reasoning and learn to model relationships using algebraic expressions.

• Geometry 105

  A study of spatial structure, shapes, and geometric reasoning. Topics include proofs, congruence, similarity, area, volume, and coordinate geometry, with emphasis on logical deduction and spatial visualization.

• Trigonometry 110

  Exploration of angles, periodic functions, and triangle relationships. Students work with sine, cosine, and tangent functions, unit circle analysis, and real-world wave modeling applications.

• Non-Calculus Statistics 115

  Introduction to data analysis, probability, distributions, and statistical reasoning without calculus. Focus is placed on interpretation of data, variability, and inference in real-world datasets.

• Calculus 120

  Foundational study of limits, derivatives, and integrals. Students learn how change is quantified and modeled, building the mathematical framework for continuous systems and dynamic behavior.

• Linear Algebra 125

  Examination of vector spaces, matrices, transformations, and systems of equations. The course emphasizes structure, dimensionality, and linear mappings used across modern computation and physics.

• Discrete Mathematics 130 (New)

  Study of finite structures including logic, sets, relations, graphs, and combinatorial reasoning. The course forms a mathematical foundation for computer science and algorithmic thinking.

• Calculus Based Statistics 135 (New)

  Advanced statistical modeling grounded in calculus. Topics include probability density functions, expectation, variance, and continuous distributions with analytical depth.

• Combinatorics 140 (New)

  Study of counting principles, permutations, combinations, and discrete structures. Emphasis is placed on enumeration techniques and probabilistic reasoning in finite systems.

• Ordinary Differential Equations 145

  Analysis of differential equations governing dynamic systems. Students learn solution techniques for modeling change in physics, engineering, and applied sciences.

• Partial Differential Equations 155

  Advanced study of multi-variable differential systems describing waves, heat flow, and spatial dynamics. Focus is placed on formulation, boundary conditions, and analytical methods.

• Abstract Algebra 160

  Exploration of algebraic structures such as groups, rings, and fields. The course emphasizes structural properties and symmetry as foundational mathematical principles.

• Topology 165

  Study of spatial properties preserved under continuous deformation. Topics include continuity, compactness, connectedness, and abstract geometric structure beyond metric space intuition.