The mathematics curriculum at Brescia University combines concern for maximizing the learning of each individual and an interdisciplinary approach into a program that balances traditional mathematical theory, creative problem solving processes, and development of applied models to solve real problems. It prepares students for meaningful careers in both industry and teaching or for graduate study. The Bachelor of Science in Mathematics is offered, as well as a minor in mathematics.
The Mathematics faculty also teach key courses within the multidisciplinary Financial Mathematics Bachelor of Science degree.
Mth 211: Calculus I
In-depth coverage of calculus appropriate for study in mathematics, science, engineering, or other quantitative disciplines. Covers functions, limits, derivatives, applications of derivatives, and foundations of integral calculus.
Mth 212: Calculus II
In-depth coverage of calculus appropriate for study in mathematics, science, engineering, or other quantitative disciplines. Covers integration techniques, applications of integration, sequences and series, and polar coordinates.
Mth 213: Calculus III
In-depth coverage of calculus appropriate for study in mathematics, science, engineering, or other quantitative disciplines. Covers 3-dimensional geometry and extends ideas of calculus into higher dimensional settings.
Mth 308: Linear Algebra
Geometric vectors, vector spaces, inner products, linear transformations, matrices with applications to solutions of systems of equations, linear transformations, and determinates.
Mth 310: Geometry
A study of congruence, parallelism, polygonal regions, inequalities, similarity, construction, projections, loci, and area and volume functions in Euclidean geometry and non-Euclidean geometries.
Mth 313: Probability and Statistics
Probability axioms, discrete and continuous distributions, expectation, multivariate distributions, estimation, hypothesis testing, regression analysis, and analysis of variance.
BAd 318: Business Statistics
Fundamental concepts and methods of statistics covering frequency distributions, measures of central tendency and dispersion, probability, probability distributions, sampling, estimation, statistical quality control, quantitative decision making, hypothesis testing, correlation analysis, regression analysis, and non-parametric statistics.
Mth 497: Senior Seminar I
Preparation of students for part I of the required Senior Exit Examination by summarizing and reviewing subjects in the Math/CS core program. It also provides a forum for discussion of senior project expectations and progress.
Mth 498: Senior Seminar II
Preparation of students for part II of the required Senior Exit Examination by summarizing and reviewing advanced Math/CS topics. It also provides a forum for discussion of senior project expectations and progress.
Mth 499: Senior Project
Required senior project in mathematics and/or computer science is to contain original contributions toward solving a substantive problem in the discipline and will be directed by a faculty mentor
CS110: Programming I
This is an entry-level programming course (no prior programming experience needed) that introduces programming using a high-level language such as C++. Students will be taught how to design, code, debug, and document programs using structured techniques and good programming styles. Students will be able to sit the C Programming Language Certified Associate (CLA) certification exam.
