This is a modularized course which covers limits of sequences, series, and functions, secants and tangents, derivatives from first principles, chain rule, product rule, quotient rule, implicit differentiation, curve sketching, maximum and minima applications, relates rates applications, anti-derivatives and area, limits, and derivatives of trigonometric functions.

This course explores set theory, counting methods, probability, rational expressions and equations, and functions (polynomial, exponential, logarithmic and sinusoidal).

Review of numbers, inequalities, functions, analytic geometry; limits, continuity; derivatives and applications, Taylor polynomials; log, exp, and inverse trig functions. Integration, fundamental theorem of calculus substitution, trapezoidal and Simpson's rules.

Area between curves, techniques of integration. Applications of integration to planar areas and lengths, volumes and masses. First order ordinary differential equations: separable, linear, direction fields, Euler's method, applications. Infinite series, power series, Taylor expansions with remainder terms. Polar coordinates. Rectangular, spherical and cylindrical coordinates in 3-dimensional space. Parametric curves in the plane and space: graphing, arc length, curvature; normal binormal, tangent plane in 3- dimensional space. Volumes and surface areas of rotation.

Vectors and matrices, solution of linear equations, equations of lines and planes, determinants, matrix algebra, orthogonality and applications (Gram-Schmidt), eigenvalues and eigenvectors and applications, complex numbers.

The course will include a review of analytic geometry; functions, limits, continuity; differentiation of elementary functions; applications to maxima, minima and rates; introduction to integration; Fundamental Theorem; numerical integration; and areas and other applications of the definite integral to areas.

Applications of integration to areas, volumes, work force and arc lengths are included in this course. Differentiation and integration of exponential, logarithmic and trigonometric functions; techniques of integration; indeterminate forms and improper integrals.

Systems of linear equations, vectors in n-space, vector equations of lines and planes, matrix algebra, inverses and invertibility, introduction to linear transformations, subspaces of n-space, determinants, introduction to eigenvalues and eigenvectors, the dot product and orthogonality, applications in a variety of fields.

This course covers foundational mathematical topics relevant to engineering technologies such as algebraic manipulation, trigonometry, geometry, exponents, logarithms, and functions as well as basic linear algebra concepts. It aims to improve problem-solving and critical thinking skills and prepare students for studies in calculus and applied engineering physics.

Elementary Number Theory, Numeration Systems, Number Systems and Elementary Probability Theory are included in this course.

This course covers techniques for solving differential equations, including first-order equations, second-order linear equations (reduction of order, variation of parameters), the Laplace transform, linear systems, and power series solutions. Applications include separation of variables for Partial Differential Equations (PDEs), along with topics in Taylor and Fourier series, and convergence tests.

Vector spaces; inner product spaces; examples of n-space and the space of continuous functions. GramSchmidt process, QR-factorization of a matrix and least squares. Linear transformations, change of basis, similarity and diagonalization. Orthogonal diagonalization, quadratic forms. Applications in a variety of fields, numerical methods.

This course will provide students an opportunity to build essential math skills that are fundamental to engineering technologies. Its aim is to review and extend topics in linear algebra, functions, exponentials, logarithms, and trigonometry and introduce students to the topics of differential and integral calculus and statistics.

Reasoning and problem solving in the context of logic, algebra, geometry, and combinatorics.

In this introductory course, students will explore the fundamentals of business and gain knowledge and skills necessary to succeed at NWP and in the industry. Diverse topics will be covered in this course such as professionalism, personal branding, leadership, ethical decision-making, critical thinking, resource utilization, entrepreneurial thinking, and business careers. This course delves into contemporary business challenges affording students the chance to formulate informed recommendations.

Statistical inference for variance; statistical inference for the means; proportions and variances from two populations; analysis of variance; non-parametric statistics; joint probability distributions; marginal and conditional distributions; covariance; correlation and independence; contingency tables; simple linear regression; multiple linear regression; nonlinear regression; and time series analysis are topics covered in the course.

Introductory course in medical microbiology designed for students enrolled in health care related programs. The course begins with basic information on microorganisms (bacteria, viruses, fungi, parasites and prions), the immune system, infection control, transmission of infection, epidemiology, antimicrobials, disinfection and sterilization. The later part of the course concentrates on infectious diseases caused by pathongenic microorganisms.

This course will focus on the structure and physiology of free-living and pathogenic bacteria. The diversity of their metabolic activiites, the interaction of microbes with their environment, symbiotic relationships and cell-to-cell communication are major topics. Lectures and laboratory exercises are coordinated to explore topics in basic microbiology, environmental microbiology, molecular microbiology, and the production of economically or medically important products through microbial biotechnology.

Introduces the principles and mechanisms of immunity in eukaryotes. Provides and overview of the major groups of infectious agents (virus, bacteria, parasites) and examines selected microorganisms within the context of the host response to pathogens and pathogen evasion strategies.

Learners will understand key strategic marketing and branding concepts. Students will analyze personal and corporate branding, integrated marketing strategy and communication, and brand identity. In addition, exploration of marketing strategies that influence price, product, place, and promotion to support corporate objectives.