Non-Degree Programs
Mathematics

The Department of Mathematics offers basic mathematics and statistics courses to other academic departments. Students majoring in Computer Science, Computer and Communications Engineering, and Business in all its programs are required to assimilate and apply basic mathematics and statistics fundamentals to master the subject matter pertaining to their academic disciplines.

To accomplish the above goals, the Department of Mathematics uses multiple instructional methods, teaching aids and classroom activities to help students develop the needed computational and problem solving skills, critical thinking, and real life application.


Math Courses
CODE DESCRIPTION PREREQUISITE CR.
MAT 105 Fundamentals of Math I NONE
3
MAT105L Fundamentals of Math I Lab NONE
1
MAT 106 Fundamentals of Math II NONE
3
MAT106L Fundamentals of MathI II Lab NONE
1
MAT 200 Precalculus NONE
3
MAT200X College Algebra NONE
3
MAT 201 Calculus I MAT 200
3
MAT 202 Calculus II MAT 201
3
MAT 203 Calculus III MAT 202
3
MAT 204 Discrete Math MAT 202
3
MAT 205 Linear Algebra MAT 202
3
MAT 210 Probability & Statistics For Science MAT 202
3
MAT 220 Math For Business & Finance MAT 200X
3
MAT 225 Differential Equations MAT 203
3
MAT 260 Geometry For Arts NONE
3
MAT 315 Numerical Methods MAT 205 & CSI 205
3
MAT 320 Advanced Engineering Mathematics MAT 225
3
STA 200 Statistics For Communication ENG 001 & MAT 200X
3
STA 210 Statistics & Probability For Business I ENG 200
3
STA 310 Statistics & Probability For Business II ENG 200 & STA 210
3
Course Descriptions
MAT 105
Fundamentals of Math I
This course is designed for students who wish to acquire basic skills in university level mathematics. The course involves three hours of lecture and two hours of lab practice per week.
Prerequisite: NONE
MAT105L
Fundamentals of Math I Lab
This is a Lab course for students who wish to acquire basic skills in university level mathematics. This course is taken concurrently with MAT 105.
Prerequisite: NONE
MAT 106
Fundamentals of Math II
This course is designed for students who wish to acquire intermediate skills in university level mathematics. The course involves three hours of lecture and two hours of lab practice per week.
Prerequisite: NONE
MAT106L
Fundamentals of MathI II Lab
This is a lab course for students who wish to acquire intermediate skills in university level mathematics. This course is taken concurrently with MAT 106.
Prerequisite: NONE
MAT 200
Precalculus
This is a preparatory course for mathematics. It includes radical and rational expressions, quadratic equations and inequalities, coordinate systems and function concepts, logarithmic and exponential functions, systems of equations and inequalities, and derivatives.
Prerequisite: NONE
MAT200X
College Algebra
This is a remedial math course for graphics design students and/or students whose entrance exams indicate the need for a refresher math course. The course content includes solving linear equations, solving quadratic equations, polynomials, rational and radical expressions, and an introduction to logarithms and exponentials.
Prerequisite: NONE
MAT 201
Calculus I
This is an introductory calculus course. Contents include functions and graphs, rates of change, limits and continuity, differentiation rules and their applications, Rolle's theorem, the Mean Value Theorem, L'Hopital's Rule, optimization of functions, integrals and their area calculation applications, and the Fundamental Theorem of Calculus.
Prerequisite: MAT 200
MAT 202
Calculus II
This is an intermediate calculus course. Contents include integral calculation of areas, volumes and lengths of graphs, transcendental and hyperbolic functions, inverse functions and their derivatives, integration techniques, and an introduction to multi-variable integrals.
Prerequisite: MAT 201
MAT 203
Calculus III
This is an advanced calculus course. Contents include sequences and series, Fourier series, Lagrange multipliers, polar coordinates and their applications, functions of several variables, partial differentiation, quadratic surfaces, cylindrical, spherical, and rectangular coordinates and multiple integrals and their applications.
Prerequisite: MAT 202
MAT 204
Discrete Math
This is a course that deals with mathematical structures used in computer science and engineering. Contents include sets, functions and relations, graphs and diagraphs, matrices, methods of proof, quantifiers, counting principles, graphs and trees, and algorithms.
Prerequisite: MAT 202
MAT 205
Linear Algebra
This is an advanced algebra course. Contents include linear equations, Guassian elimination, matrices and determinants, vector spaces and subspaces, bases and dimensions, rank and nullity, linear independency and dependency, Eigenvalues and Eigenvectors.
Prerequisite: MAT 202
MAT 210
Probability & Statistics For Science
This is a statistics course for computer science and engineering students. Contents include random variables, laws of probability, probability distributions, expectation and variance, moment generating functions, joint distribution, independence, probability models, Chi-square test, t- and f- distributions, estimation, confidence limits, significance tests, and regression.
Prerequisite: MAT 202
MAT 220
Math For Business & Finance
This is a course for business and economics students. Contents include linear functions and their applications: supply and demand analysis and national income determination, quadratic functions and their applications: revenue, cost, and profit, percentages and progressions, and their applications: scale factors, simple and compound interests, differentiation rules and their applications: optimization of functions and marginal functions, integration techniques and their applications: consumer's surplus and producer's surplus, matrices: operations on matrices and input output analysis.
Prerequisite: MAT 200X
MAT 225
Differential Equations
This course discusses the principles techniques and applications of differential equations needed in engineering. Contents include first-order equations, separable, exact, and linear equations, second-order differential equations, Frobenius Method, Fourier series and Laplace transforms.
Prerequisite: MAT 203
MAT 260
Geometry For Arts
This course covers the fundamentals of geometry. Contents include geometry in space, perspective drawing, sketching techniques, and geometrical applications in graphic and interior design.
Prerequisite: NONE
MAT 315
Numerical Methods
This course discusses the numerical methods needed in computer science and computer engineering. Contents include numerical integration methods, Monte Carlo method, moment method and matrix multiplication techniques. Emphasis will be on the implementation of numerical procedures using software packages such as Mathematica, MathCAD or MatLab.
Prerequisite: MAT 205 & CSI 205
MAT 320
Advanced Engineering Mathematics
This is a course of engineering mathematics. Topics include partial differentiation equations, Calculus of variations, optimization methods, maximum principles, and dynamic programming. The course includes applications using computerized software.
Prerequisite: MAT 225
STA 200
Statistics For Communication
This course is an introduction to probability and statistics. Contents include measures of central tendencies, measures of variation, counting techniques, probability, expectation and central limit theorem. The course includes applications that use computerized software such as Mega Stat and SPSS.
Prerequisite: ENG 001 & MAT 200X
STA 210
Statistics & Probability For Business I
This course is an introduction to statistics and probability. Contents include methods used in collection, organization, presentation and analysis of data for the purpose of better business decisions. It introduces deductive and inferential statistics and probability. The course includes applications using computerized software such as MegaStat and SPSS
Prerequisite: ENG 200
STA 310
Statistics & Probability For Business II
This course is an advanced statistics course that builds on the probability theory developed in STA 210. Contents include point and interval estimations, testing hypothesis, non-parametric methods, goodness of fit, experimental design, analysis of variance and covariance, regression and correlation. The course includes applications using computerized software such as MegaStat and SPSS
Prerequisite: ENG 200 & STA 210

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