• APMA 1090

    Single Variable Calculus I
     Rating

    3.11

     Difficulty

    3.23

     GPA

    2.87

    Last Taught

    Spring 2025

    The concepts of differential and integral calculus are developed and applied to the elementary functions of a single variable. Limits, rates of change, derivatives, and integrals. Applications are made to problems in analytic geometry and elementary physics. For students with no exposure to high school calculus.

  • APMA 1110

    Single Variable Calculus II
     Rating

    3.58

     Difficulty

    3.76

     GPA

    2.97

    Last Taught

    Spring 2025

    Advanced techniques of integration are introduced, and integration is used in physics applications like fluid force, work, and center of mass. Improper integrals and approximate integration using Simpson's Rule are also studied. Infinite series including Taylor series are studied and numerical methods involving Taylor polynomials are studied. Parametric equations and polar coordinates are introduced and applied. Complex numbers are introduced.

  • APMA 2120

    Multivariable Calculus
     Rating

    3.72

     Difficulty

    3.25

     GPA

    3.03

    Last Taught

    Spring 2025

    Topics include vectors in three-space and vector valued functions. The multivariate calculus, including partial differentiation, multiple integrals, line and surface integrals, and the vector calculus, including Green's theorem, the divergence theorem, and Stokes's theorem. Applications. Prerequisite: APMA 1110 or MATH 1320.

  • APMA 2130

    Ordinary Differential Equations
     Rating

    3.54

     Difficulty

    3.57

     GPA

    3.09

    Last Taught

    Spring 2025

    First order differential equations, second order and higher order linear differential equations, undetermined coefficients, variation of parameters, Laplace transforms, linear systems of first order differential equations and the associated matrix theory, numerical methods. Applications. Prerequisite: APMA 2120 or equivalent.

  • APMA 2501

    Special Topics in Applied Mathematics
     Rating

    3.97

     Difficulty

    3.40

     GPA

    3.33

    Last Taught

    Spring 2025

    Special topics in applied mathematics

  • APMA 3080

    Linear Algebra
     Rating

    3.62

     Difficulty

    3.13

     GPA

    3.10

    Last Taught

    Spring 2025

    Analyze and apply systems of linear equations; vector spaces; linear transformations; matrices; determinants; eigenvalues; eigenvectors; coordinates; diagonalization; orthogonality; projections; inner product spaces; quadratic forms; The course is both computational and applicable. MATLAB is frequently used and prior experience in MATLAB (loops, functions, arrays, conditional statements) is helpful. Prerequisite: APMA 2120 or equivalent.

  • APMA 3100

    Probability
     Rating

    2.60

     Difficulty

    3.77

     GPA

    2.90

    Last Taught

    Spring 2025

    A calculus-based introduction to probability theory and its applications in engineering and applied science. Includes counting techniques, conditional probability, independence, discrete and continuous random variables, probability distribution functions, expected value and variance, joint distributions, covariance, correlation, the Central Limit theorem, the Poisson process, an introduction to statistical inference. Students must have completed APMA 2120 or APMA 2512 Topic #1 Honors Engineering Math II and CS 1110 or CS 1111 or CS 1112

  • APMA 3110

    Applied Statistics and Probability
     Rating

    3.60

     Difficulty

    2.81

     GPA

    3.06

    Last Taught

    Spring 2025

    Introduces basic concepts of probability such as random variables, single and joint probability distributions, and the central limit theorem. The course then emphasizes applied statistics, including descriptive statistics, statistical inference, confidence intervals, hypothesis testing, correlation, linear regression, and ANOVA. Students cannot receive credit for both this course and APMA 3120. Prerequisite: APMA 2120 or equivalent.

  • APMA 3120

    Statistics
     Rating

    3.60

     Difficulty

    2.78

     GPA

    2.97

    Last Taught

    Spring 2025

    Includes point estimation methods, confidence intervals, hypothesis testing for one population and two populations, categorical data tests, single and multi-factor analysis of variance (ANOVA) techniques, linear and non-linear regression and correlation analysis, and non-parametric tests. Students cannot receive credit for both this course and APMA 3110. Prerequisite: APMA 3100 or MATH 3100.

  • APMA 3140

    Applied Partial Differential Equations
     Rating

    3.90

     Difficulty

    3.29

     GPA

    3.26

    Last Taught

    Spring 2025

    Partial differential equations that govern physical phenomena in science and engineering. Separation of variables, superposition, Fourier series, Sturm-Liouville eigenvalue problems, eigenfunction expansion techniques. Particular focus on the heat, wave, and Laplace partial differential equations in rectangular, cylindrical, and spherical coordinates. Prerequisites: (APMA 2120 or MATH 2310 or MATH 2315) AND (APMA 2130 or MATH 3250 or APMA 2501 topic Diff Equations & Linear Algebra)

  • APMA 3150

    From Data to Knowledge
     Rating

    4.17

     Difficulty

    3.00

     GPA

    3.72

    Last Taught

    Spring 2025

    This course uses a Case-Study approach to teach statistical techniques with R: confidence intervals, hypotheses tests, regression, and anova. Also, it covers major statistical learning techniques for both supervised and unsupervised learning. Supervised learning topics cover regression and classification, and unsupervised learning topics cover clustering & principal component analysis. Prior basic statistic skills are needed.

  • APMA 3340

    Complex Variables with Applications
     Rating

    5.00

     Difficulty

    3.00

     GPA

    3.27

    Last Taught

    Spring 2025

    Topics include analytic functions, Cauchy Theorems and formulas, power series, Taylor and Laurent series, complex integration, residue theorem, conformal mapping, and Laplace transforms. Prerequisite: APMA 2120 or MATH 2310 or APMA 2512 - Honors Engineering Mathematics II.

  • APMA 3501

    Special Topics in Applied Mathematics
     Rating

    2.00

     Difficulty

    2.50

     GPA

    3.93

    Last Taught

    Spring 2025

    Applies mathematical techniques to special problems of current interest. Topic for each semester are announced at the time of course enrollment.

  • APMA 6430

    Statistics for Engineers and Scientists
     Rating

    4.33

     Difficulty

    3.00

     GPA

    3.60

    Last Taught

    Spring 2025

    Analyzes the role of statistics in science; hypothesis tests of significance; confidence intervals; design of experiments; regression; correlation analysis; analysis of variance; and introduction to statistical computing with statistical software libraries. Prerequisite: Admission to graduate studies.

  • APMA 6548

    Special Topics in Applied Mathematics
     Rating

    4.56

     Difficulty

    3.33

     GPA

    3.77

    Last Taught

    Spring 2025

    Topics vary from year to year and are selected to fill special needs of graduate students.