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Mathematics Adjunct Professor

Employer
Capitol Technology University
Location
Laurel, MD
Closing date
Oct 14, 2021

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Sector
Science, Mathematics and Statistics
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Job Description

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
  • Minimum of a Master's Degree in Mathematics or a closely related field.
  • Professional experience related to the field of study desirable.
  • College-level teaching experience preferred.


LIST OF ESSENTIAL DUTIES
  • Manages and facilitates class activities and adheres to and meets all established university polices.
  • Submits final grades no later than 48 hours after the conclusion of their last day of class; remains available to students during the week following the posting of final grades.
  • Participates in student learning outcomes assessment related to the adjunct's teaching assignment as directed by the Chair and Dean.
  • Adheres to all established university absence and attendance policies, guidelines and requirements.
  • Completes related duties as assigned.


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
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