Professor - Mathematics teaches courses in the discipline area of mathematics and statistics. Develops and designs curriculum plans to foster student learning, stimulate class discussions, and ensures student engagement. Being a Professor - Mathematics provides tutoring and academic counseling to students, maintains classes related records, and assesses student coursework. Collaborates and supports colleagues regarding research interests and co-curricular activities. Additionally, Professor - Mathematics typically reports to a department head. Requires a PhD or terminal degree appropriate to the field. Has considerable experience and is qualified to teach at undergraduate and graduate levels and initiates research and case studies in field of interest and may publish findings in trade journals or textbooks. Provides intellectual leadership and has made significant contributions to the field. May offer independent study opportunities and mentoring to students. Typically this individual is a leader in the field and has been published. (Copyright 2024 Salary.com)
NOTE: MUST BE ABLE TO TEACH ON CAMPUS IN LAUREL, MD AND ONLINE.
POSITION SUMMARY
Capitol Technology University, a nonprofit university located in Laurel, Maryland, seeks an Adjunct Professor to teach undergraduate courses in Mathematics (described below) via on-ground classroom delivery at Laurel campus.
DESIRED QUALIFICATIONS
LIST OF ESSENTIAL DUTIES
COURSES OFFERED
MA-005 Basic Mathematics.
Topics include operations on signed numbers and fractions, products and factoring, exponents and roots, graphs, and solutions of first degree and quadratic equations. Credits from this course are not applicable toward a degree.
MA-112 Intermediate Algebra
In this course students are introduced to equations and inequalities and learn the language of algebra and related functions, including polynomial, rational, exponential and logarithmic functions. Other topics include solving equations, inequalities and systems of linear equations; performing operations with real numbers, complex numbers and functions; constructing and analyzing graphs of functions; and using mathematical modeling to solve application problems.
MA-114 Algebra and Trigonometry
Topics in this course include the following. Algebra: basic operations on real and complex numbers, fractions, exponents and radicals, determinates. As well as solution of linear, fractional, quadratic and system equations. Trigonometry: definition and identities, angular measurements, solving triangles, vectors, graphs and logarithms.
MA-124 Discrete Mathematics
Logic sets and sequences; algorithms, divisibility and matrices; proof, induction and recursion; counting methods and probability; relations, closure and equivalence relations, graphs and trees; Boolean algebra.
MA-230 Introduction to MATLAB
Intended for students with little or no experience with the software, the course covers its basic operations and features. Applications in engineering, physics and mathematics are examined, providing a grounding for developing tools for students’ own projects. Topics include import/export data, create and manipulate variables, program and run scripts (M-files), use graphics tools to display data, use the built-in help features.
MA-262 Calculus II
Methods of integration: completing the square, substitution, partial fractions, integration by parts, trigonometric integrals, power series, parametric equations. Partial derivatives. Directional derivatives. Introduction to multiple integrals
MA-330 Linear Algebra
This course introduces the study of linear systems of equations, vector spaces, and linear transformations. Students will solve systems of linear equations as a basic tool in many mathematical procedures used in science and engineering. Topics include solving linear equations, performing matrix algebra, calculating determinants, finding eigenvalues and eigenvectors and developing an understanding of a matrix as a linear transformation relative to a basis of a vector space.
MA-345 Probability and Statistics for Engineers
Sets and methods of counting. Probability density functions, expected values and correlations. Binomial, Poisson, exponential and normal distribution. Central limit theorem and statistical estimation. Introduction to stochastic processes. Applications to noise and reliability.
MA-355 Numerical Analysis
Number systems, floating-point arithmetic and error analysis. Taylor, interpolating and mini-max polynomials. Integration and differentiation. Methods of solving equations, systems of linear equations