# Courses

## Finite Mathematics-MATH101 (CBA):

This course introduces linear programming, probability, and financial mathematics. Items
covered include systems of linear equations, matrices, systems of linear inequalities,
simplex method, set and counting techniques, probability and probability models and
mathematics of finance.

## Calculus I-MATH111 (ENG, CCIS):

This course is designed to develop the topics of differential calculus. Emphasis is
placed on limits, continuity, and derivatives of algebraic and transcendental functions
of one variable. The goal of this course is developing the student’s geometric insight
into the concepts of differentiation, and applying these concepts to problem-solving and
“real world application”.

## Calculus II-MATH113 (ENG, CCIS):

This course introduces the students to various topics such as the concept of
antiderivatives, integrals (definite and indefinite), the fundamental theorem of
calculus and applications of definite integrals to find the area, volume, arc’s length,
and surface area. Furthermore, the course continues in covering the concepts of
sequences, infinite series, and Power series.

## Business Calculus-MATH211 (CBA-FINANCE):

The course covers useful calculus functions such as one variable limits and
differentiation, applications of Heuristic treatment of the exponential and logarithmic
functions, and their properties.

## Engineering Mathematics-MATH215 (ENG):

This course has two parts-the first introduces the students to advanced topics in
calculus such as such functions of several variables, double integrals, and their
applications and triple integrals, the second part deals with elementary topics in
linear algebra. Indeed, topics like Vectors in 2-Space and 3-Space, Vector spaces, Inner
Produce Spaces and Eigenvalues, and Eigenvectors are considered.

## Numerical Analysis-MATH221 (ENG-NETWORK, CCIS-ELECTIVE):

In this course, students will review and learn mathematical techniques necessary for
success as an engineer, both in future coursework and on the job. Given the difficulty
of solving more realistic engineering problems analytically, the emphasis will be on the
understanding and use of computational algorithms. In the process, students will develop
a strong working knowledge of software packages like Matlab, Maple, and Mathematica,
which are integrated technical computing environments that combine numeric computation,
advanced graphics and visualization, and a high-level programming language.

## Linear Algebra-MATH223 (CCIS-ELECTIVE):

The course examines the techniques of linear algebra and utilizes its tools. Topics and
instruments include matrices, determinants, systems of linear equations, Euclidean
vector spaces, real vector spaces, inner product spaces of linear equations, Euclidean
vector spaces, real vector spaces, inner product spaces, eigenvalues and eigenvectors,
linear transformation, applications.

## Differential Equations-MATH225 (ENG):

This course introduces the students to various topics in ordinary differential
equations. These topics include: techniques for solving first order differential
equations such as linear equations, separable equations, exact equations and integrating
factors; homogeneous and general second order linear equations; higher order linear
equations; power series solutions; the Laplace transform and applications in science and
engineering, Fourier series and its convergence theorem, Separation of Variables, Heat
Equation, Wave Equation and Laplace equation.

## General Chemistry-CHM101 (ENG-MC):

The course governs basic concepts and terminology in chemistry. Topics presented
include: Matter and measurement, molecules and molecular compounds, ions and ionic
compounds, nomenclature, chemical reaction types, stoichiometry, atomic and molecular
weights, the mole concept, calculations with balanced chemical equations, limiting
reactant, the periodic table, general properties of aqueous solutions, concentrations,
acid base titration, reactions in aqueous solutions, energy and energy changes,
introduction to thermodynamics, the gas laws, quantum numbers and electronic
configuration, periodic properties, chemical bonding, intermolecular forces, chemical
kinetics and introduction to organic chemistry.

## Introduction to physical science-SCI101 (CCIS, CBA):

The course is a broad survey of physics and chemistry. It is designed to enable students
to appreciate the role of science in today's society and technology. The fundamental
components of space, time, matter and energy along with scientific methods are explored.
Applications of these concepts are highlighted in both understanding natural phenomenon
and working of daily life devices made using these principles.

## Physics I-PHY105 (ENG, CCIS):

This course introduces the principles of mechanics, energy, and heat. The course covers
physics and measurements, motion in one dimension, vectors, motion in two dimensions,
laws of motion, circular motion and other applications of Newton's laws, work, and
energy, potential energy, and conservation of energy, temperature, and heat. The
emphasis in this course is cultivating an understanding of natural phenomena through
direct observation, reasoning, and application of this knowledge.

## Physics II-PHY205 (ENG, CCIS):

This course goes deeper into a number of areas of physics. Topics include the electric
field, electrostatic forces, Gauss's law, electric potential, capacitors and
dielectrics, current and resistance, direct current circuits, magnetic fields, sources
of magnetic fields, magneto-static forces, induction, Faraday’s law, introduction to
alternating current circuits, geometrical optics, and optical instruments.

## Stress Management-ELE 103 (Elective):

The course explores the nature of stress, causes, and effects of stress, and strategies
for managing stress. The course is designed to expose students to an in-depth approach
to the understanding and management of stress. It treats stress perspectives,
consequences, and coping strategies that enhance adjustment in personal, family, and
career life. The learning activities of the course involve theoretical, experiential and
applied. Students are taught to be able to develop skills for designing stress-related
problem-solving strategies.

## Introduction to Psychology-PSY101 (ENG, CCIS, CBA):

The course is a comprehensive survey of fundamental fields and concepts in the science
of psychology. It covers such topics as; biology of the nervous system, learning,
consciousness, memory, drug use, motivation, personality, social influences on behavior,
psychological disorders and therapy. The course teaches current approaches to psychology
and demonstrates how biological, cognitive, and socio-cultural perspectives combine to
provide a comprehensive view of human behavior.

## Introduction to Statistics and Probability Theory-STAT101 (ENG, CCIS, CBA):

The course introduces a range of statistical concepts and techniques. Estimations of
statistical distributions such as mean, variance, and their applications are examined.
Also covered are random variables, frequency distributions, descriptive stats, discrete
probability, and probability theory.

## Statistical Analysis-STAT271 (CBA):

This course is the intermediate course of Statistics for business students. The course
is designed to expose the students to the use statistical towards estimation and
inference about the population parameters from sample data. To perform statistical
analyses using statistical software and interpret the results of statistical analyses.
Statistical data analysis for business students for decision-making purposes. Includes
an examination of summary measures, probability, random variables, and their
distributions. Presents estimation and hypothesis testing, correlation and

## Applied Statistics-STAT272 (ENG):

The course teaches how statistical techniques can be used to solve engineering problems.
The course covers principles of engineering data collection; principles of
experimentation; confidence intervals and significance tests; one-, two-, and
multi-sample studies and regression analysis. Students employ statistical software (e.g.
R, Excel) to perform statistical data analysis and experiments and work on team projects
involving engineering experimentation and data analysis.