Academic Catalog 2026-2027

Department of Mathematics

Undergraduate Degree(s):

Minor(s):

Certificate(s):

Graduate Degree(s):

As one of the largest instructional units in the University, the Department of Mathematical Sciences offers courses in Mathematics (MATH) for the matriculation of a Bachelor of Science (B.S.) Degree in Mathematics, a Data Science concentration, a Certificate in Data Science, and a minor in Mathematics, and a minor in Data Science for students majoring in other academic disciplines at the University.

The Department provides major support to the overall undergraduate curriculum at Texas Southern University since every undergraduate degree or program of study requires the completion of at least three semester credit hours in Mathematics for graduation. Instructional facilities and the Department Office (Room 111K) are located on the first floor of the Science Building. Faculty members are also housed on the first floor of the Science Building.

The mission of the Department of Mathematics is to make all students who matriculate through Texas Southern University aware of the role that Mathematics plays in the modern world and to allow them to develop sufficient skills in utilizing the processes and techniques of Mathematics to pursue their chosen fields of study, as well as to deal with mathematical processes on a daily basis. In the realization of this mission, students are prepared for a variety of careers, for negotiating the rigors of various curricula of study that are heavily dependent upon the understanding of mathematical processes, and for graduate study and research.

The goals of the Mathematics program are the following:

  • The graduate will have developed learning skills and acquired a firm foundation of knowledge of fundamental mathematical concepts, methods, reasoning and language sufficient to support further academic work or a career in area that requires mathematical understanding.

  • The graduate will exhibit understanding of advanced mathematical concepts and analytical skills, and also utilize appropriate technology to develop models for solving problems and analyzing new situations, both in mathematics and in areas that use mathematics.

The Mathematics program Student Learning Outcomes are to:

  • The student will exhibit understanding of advanced mathematical concepts and analytical skills.
  • The student will master the essentials of calculus sufficiently to apply those skills in more advanced mathematics classes.
  • The student will use mathematical modeling to solve problems from fields such as natural sciences, social sciences, business and engineering.
  • The student will apply knowledge relating to set theory, functions, and equivalence relation to advanced mathematics courses.
  • The student will write mathematical proofs when required in upper level and advanced mathematics courses.
  • The student will understand the concepts of random variable, distribution functions, and theoretical versus, simulated probability and apply them to real world situations.

Requirements for both the B.S. in Mathematics and the minor in Mathematics are summarized below. 

Students wishing to pursue either a major (B.S.) or minor in Mathematics must first be admitted to the University, must satisfy TSI Assessment requirements, must eradicate deficiencies assessed at the time of admission through the University Testing Center, and must petition the Department for admission as TSI Assessment requirements or equivalent are completed. Once admitted to the Department, students are assigned an official advisor who must be consulted on a semester or term basis for schedule approval and status verification for progression toward graduation.

All completed Mathematics courses that are designated for a major in Mathematics must be completed with a grade of “C” or better. Grades of “C-” are unacceptable.

In selecting a minor, Mathematics majors should seek detailed advisement from their designated advisors because the selection of a minor having representative courses in the core curriculum of study could impact the total number of credits required.

All courses taken in fulfillment of a minor in a non-mathematics discipline by a student pursuing a B.S. in Mathematics must be completed with a grade of “C” or better, where grades of “C- ” are unacceptable. This is also the case for students in other disciplines seeking the minor in Mathematics. 

In no case will students qualify for graduation at the undergraduate level with fewer than 120 semester credit hours satisfactorily completed.

An exit examination is required of all graduating seniors pursuing the B.S. in Mathematics.

All students pursuing a minor in Mathematics must have a cumulative average of “C” or better in the courses required for the minor.  In no case will a student be granted a minor in Mathematics with fewer than 20 semester credit hours satisfactorily completed. 

Individuals interested in seeking certification for teaching Mathematics in the public schools of Texas should contact the Teacher Certification Officer in the College of Education at Texas Southern University for application instructions. Mathematics courses used in the certification process must be approved through the Department.

Minor in Mathematics, click here.

ACCELERATED MASTER OF SCIENCE – MATHEMATICS (5-year BS to MS)

AIMS AND OBJECTIVES

The mathematics undergraduate students at TSU will have an opportunity to complete the BS and MS degrees at accelerated pace in five years, and the Accelerated MS Program will create a pipeline of students going to Ph.D. granting institutions.

ADMISSION REQUIREMENTS

  • Students must have a minimum accumulated grade point average of 3.0/4 at TSU,
  • Students must have a minimum cumulative GPA of 3.0 in mathematics major courses,
  • Students’ grades must be posted for all 200 and 300 level required math courses,
  • Students must complete at least 94 credits in the mathematics degree plan, and
  • Students must not have more than two semesters left in undergraduate program at time of admission to the masters’ program.
  • Transfer students must have completed a minimum of a two full-time semesters and 24 hours at TSU.

Selected undergraduate students may begin taking graduate courses during their senior year, earning 6 graduate mathematics hours that can be counted toward both the BS in Mathematics and the MS in Mathematics degree.

Applications cannot be evaluated until these requirements are met and the Graduate School receives the completed application. The entire admission process will be under the direction of the Graduate Faculty Committee in the Department of Mathematics and the Graduate Council in the Graduate School at the University.

Mathematics Courses

MATH 101  Interdisciplinary Math Lab  (0 Credits)  
Lecture: 0, Lab: 0  
Help student develop skills, strategies and reasoning required to succeed in mathematics. Include the study of numeracy and real number system; algebraic concepts, notation and reasoning; quantitative relationships; mathematical models and problem solving.
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 130  Fundamental Math  (3 Credits)  
Lecture: 3, Lab: 0  
Fundamental Math (3) Designed to provide students with the concepts and skills necessary for successful performance in college level mathematics. Assists students in passing state-required tests. Provides the academic foundation for success in MATH 131. Three hours of lecture and one hour of laboratory per week.
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 130L  Fundamental Math Lab  (0 Credits)  
Lecture: 0, Lab: 0  
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 131  Developmental Ed Math II  (3 Credits)  
Lecture: 3, Lab: 0  
Analytical Math (3) Designed to provide students with the necessary mathematical foundation to pass freshman level mathematics courses. Assists students in passing state-required tests. Three hours of lecture and one hour of laboratory per week.
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 131L  Analytical Math Lab  (0 Credits)  
Lecture: 0, Lab: 0  
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 232  Software Scientific Computing  (3 Credits)  
Lecture: 3  
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 243  Calculus & Analytic Geo III  (4 Credits)  
Lecture: 4  
Calculus and Analytic Geometry III (4) Sequences, infinite series, conic sections, polar coordinates, two-dimensional and three-dimensional vectors, parametric equations, partial differentiation, and multiple integrals. Four hours of lecture per week. Prerequisite: MATH 242.
Prerequisite(s): (MATH 242 or MATH 2414)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 251  Differential Equations  (3 Credits)  
Lecture: 3  
Important methods of solution of ordinary differential equations of the first order and of higher orders with applications to geometry and physics.
Prerequisite(s): (MATH 242 or MATH 2414)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 252  Intro to Operations Research  (3 Credits)  
Lecture: 3  
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 331  Foundations of Mathematics  (3 Credits)  
Lecture: 3, Lab: 0  
Transitional mathematics course toward the study of advanced mathematics. Various topics in the foundations of mathematics discussed.
Prerequisite(s): (MATH 2414 or MATH 242)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 332  Introduction to Graph Theory  (3 Credits)  
Lecture: 3  
Graph theory has been applied to many fields including other branches in mathematics, chemistry, biology and so on. With the current intensive interests in network systems, graph theory becomes even more popular. This course introduces some major topics in graph theory. More specifically, it discusses degrees, isomorphic graph, trees, connectivity, traversability, coloring graphs. If time allows, we will also discuss digraph, matching and factorization.
Prerequisite(s): (MATH 331)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 335  Foundations Of Geometry  (3 Credits)  
Lecture: 3, Lab: 0  
Logic and postulates relating to geometries. Modern plan geometry as developed from Euclidean geometry, measurement, and metric system. Properties of geometric figures, congruence, theory of parallel lines, and non-euclidian geometry.
Prerequisite(s): (MATH 241 or MATH 2413)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 336  Introduction to Abstract Algebra  (3 Credits)  
Lecture: 3, Lab: 0  
Introduction to mathematical systems such as groups, rings, and fields.
Prerequisite(s): (MATH 331)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 345  Applied Mathematics and Statistics for Scientists and Engineers  (3 Credits)  
Lecture: 3  
Selected topics in applied differential equations (including transform techniques), linear programming, numerical methods, and statistics with emphasis on applications to the solution of problems in science and engineering.
Prerequisite(s): (MATH 242 or MATH 2414)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 376  Applied Mathematical Analysis  (3 Credits)  
Lecture: 3, Lab: 0  
Applied Mathematical Analysis (3) Vector analysis; algebra and geometry of vectors; vector differential and integral calculus; theorems of Green, Gauss, and Stokes. Three hours of lecture per week. Prerequisite: MATH 314.
Prerequisite(s): (MATH 243 or MATH 314 or MATH 2415)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 430  The History Of Mathematics  (3 Credits)  
Lecture: 3, Lab: 0  
The History of Mathematics (3) General view of the development of the elementary branches of mathematics; growth of higher mathematics in the eighteenth and nineteenth centuries. Three hours of lecture per week. Prerequisite: Twelve credits of college mathematics.
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 431  Software for Scientific Computing  (3 Credits)  
Lecture: 3, Lab: 0  
This course introduces some of the high-level computing languages and software that are widely used in industry and universities. These software are extremely efficient on matrix operations, and also they focus on numerical computing in interactive environment. In this course, we focus on introducing MATLAB and R language, and give a brief tour of Mathematics. The aim of the course is to have students to learn what these three pieces of software can do and how they can use the tools for their own computing purposes.
Prerequisite(s): ((MATH 136 or MATH 2312) and (MATH 231 or MATH 1342))
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 433  Concepts Structure Of Math  (3 Credits)  
Lecture: 3, Lab: 0  
Concepts and Structure of Mathematics (3) Structure of the number system, elements of set theory, properties of real numbers, and basic concepts of mathematical systems. Presented for nonmajors. Three hours of lecture per week. Prerequisite: Consent of the instructor.
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 437  A Surv of Math Ideas  (3 Credits)  
Lecture: 3  
Applications of various mathematical topics and mathematical needs of people in some of the trades, professions, and scientific disciplines.
Prerequisite(s): ((MATH 243 or MATH 2415 or MATH 314))
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 439  Introduction to Analysis  (3 Credits)  
Lecture: 3, Lab: 0  
The real number system; elementary point set theory; sequences and series; continuity; possibly topics from differentiation and integration.
Prerequisite(s): ((MATH 243 or MATH 314 or MATH 2415) and (MATH 331))
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 460  Intro To Complex Analysis  (3 Credits)  
Lecture: 3, Lab: 0  
Introduction to Complex Analysis (3) Complex numbers and complex geometry; limits, continuity, derivatives, and the Cauchy-Riemann equations; analytic and harmonic functions; Cauchy's Integral Theorem and its consequences. Three hours of lecture per week. Prerequisites: MATH 314 and MATH 331.
Prerequisite(s): ((MATH 243 or MATH 314 or MATH 2415) and (MATH 331))
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 461  Introduction to Partial Differential Equations  (3 Credits)  
Lecture: 3  
Linear Operators: Linear first order equations; the wave equation; the hear equation; Laplace's Equation; Green's Function and Sturm-Liouville problems; Fourier Series; Numerical Solutions.
Prerequisite(s): ((MATH 251 or MATH 333 or MATH 2320))
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 462  Intro To Topology  (3 Credits)  
Lecture: 3, Lab: 0  
Topics include metric spaces, connectedness, and compactness. The topology of Euclidean spaces discussed in detail as well as its generalization to non-metric topological spaces.
Prerequisite(s): ((MATH 243 or MATH 314 or MATH 2415) and (MATH 331))
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 463  Introduction to Numerical Analysis  (3 Credits)  
Lecture: 3  
Computer Arithmetic and associated error analysis. Solution of non linear equations. Interpolation and approximation methods. Numerical differentiation and integration. Initial value problems for ordinary differential equations.
Prerequisite(s): (MATH 242 or MATH 2414)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 465  Introduction to Data Science and Machine Learning  (3 Credits)  
Lecture: 3  
This course introduces theory and applications for statistics learning techniques including linear and logistic regression, classification and regression trees, random forests and neural networks. R programming will be used throughout the course.
Prerequisite(s): MATH 3339
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 466  Introduction to Data Science and Statistics Learning  (3 Credits)  
Lecture: 3  
This course introduces theory and applications for statistics learning techniques including maximal marginal classifiers, support vector machines, K-means and hierarchical clustering, and re-sampling methods. R programming will be used throughout the course.
Prerequisite(s): (MATH 465 or MATH 3339)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 467  Biostats  (3 Credits)  
Lecture: 3  
This course is intended as comprehensive concepts-centric biostatistics primer. Those who complete the course will be able to read and respond to the scientific literature, including the Methods and Results sections, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team in biological science and related fields. R programming will be used throughout the course.
Prerequisite(s): ((MATH 1342 or MATH 231) and (MATH 3339))
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 471  Topics In Math I  (3 Credits)  
Lecture: 3, Lab: 0  
Topics in Mathematics I (3) New developments and trends in mathematics discussed. Three hours of lecture per week. Prerequisite: Consent of the instructor.
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 473  Probability & Statistics I  (3 Credits)  
Lecture: 3, Lab: 0  
Introduction to probability and statistical inference making use of the calculus developed in MATH 241 and MATH 242.
Prerequisite(s): ((MATH 242 or MATH 2414) and (MATH 231 or MATH 1342))
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 474  Probability & Statistics II  (3 Credits)  
Lecture: 3, Lab: 0  
Moments of distributions and Stieltjes integral; joint density functions; conditional means; moment generating functions; sequences of random variables; distribution theory; and hypothesis testing.
Prerequisite(s): MATH 473
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 475  Abstract Algebra  (3 Credits)  
Lecture: 3, Lab: 0  
Group theory; Lagrange's Theorem; Isomorphism Theorem; Cayley's Theorem; rings and fields.
Prerequisite(s): MATH 336
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 490  Independent Study Undergrad  (3 Credits)  
Lecture: 3, Lab: 0  
Independent Study: Undergraduate (3) Intensive study of a topic in mathematics under the direction of a faculty member. Prerequisites: Senior standing and consent of the instructor.
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 498  Capstone Courses in Math  (3 Credits)  
Lecture: 3  
This course will combine ideas from different areas of mathematics with emphasis on current topics of interest and serve as a capstone course for all mathematics majors. topics vary at instructor's discretion. The course will include student presentations, written projects, mathematical reasoning, problem solving and senior exit exam.
Prerequisite(s): MATH 331
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 499  Seminar  (3 Credits)  
Lecture: 3, Lab: 0  
Seminar (3) Various topics in mathematics discussed. Three hours of lecture per week. Prerequisite: Consent of the instructor.
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 1314  College Algebra  (3 Credits)  
Lecture: 3  
Concise overview of elementary algebra, including progressions, exponents, radicals, quadratic equations, binomial theorem, inequalities, absolute values, and mathematical induction.
Prerequisite(s): (( or or or or TSI Exemption TAKS with a score of 2200 or TSI MATH Assessment with a score of 350 or or C-Better Math Resident Stu with a score of 2.00 or C-Better Math Transfer Stu with a score of 2.0 or) and (HCCM 131) or MATH 131 ) or (TSI MATH Assessment with a score of 910 and Adult Basic Education MATH with a score of 6 or TSI MATH Assessment with a score of 950)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
TCCN: MATH 1314  
MATH 1316  Plane Trigonometry  (3 Credits)  
Lecture: 3  
Definitions and relations of the six trigonometric functions, proofs of formulas, solutions of triangles, trigonometric identities and equations, inverse trigonometric functions, vectors, and applications related to these topics.
Prerequisite(s): (( or or or or TSI Exemption TAKS with a score of 2200 or TSI MATH Assessment with a score of 350 or or C-Better Math Resident Stu with a score of 2.00 or C-Better Math Transfer Stu with a score of 2.0 or) and (MATH 101 (may be taken concurrently) or MATH 131 or HCCM 131)) or (TSI MATH Assessment with a score of 910 and Adult Basic Education MATH with a score of 6 or TSI MATH Assessment with a score of 950)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 1324  Math and Business and Econ I  (3 Credits)  
Lecture: 3  
Presentation of mathematical theories and approaches as applied to business and economics.
Prerequisite(s): (( or or or or TSI Exemption TAKS with a score of 2200 or or C-Better Math Resident Stu with a score of 2.00 or C-Better Math Transfer Stu with a score of 2.00 or) and (MATH 101 or MATH 131 or HCCM 131)) or (TSI MATH Assessment with a score of 910 and Adult Basic Education MATH with a score of 6 or TSI MATH Assessment with a score of 950)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
TCCN: MATH 1324  
MATH 1325  Elements of Calculus  (3 Credits)  
Lecture: 3  
Limits and continuity, derivatives, graphing and optimization, exponential and logarithmic functions, antiderivatives, integration, applications to management, economics, and business.
Prerequisite(s): (MATH 133 or MATH 1314) or (MATH 135 or MATH 1324)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
TCCN: MATH 1325  
MATH 1332  Contemporary Mathematics I  (3 Credits)  
Lecture: 3  
Contemporary Mathematics is a course designed for liberal and fine arts, non-mathematics, and non-business majors. It will provide knowledge of the nature of mathematics as well as training in mathematical thinking and problem solving. Topics may include logic and mathematics reasoning, sets, problem solving, applications, networks, graphs, probability, statistics, geometry, mathematics of finance, and number theory.
Prerequisite(s): (( or or or or TSI Exemption TAKS with a score of 2200 or or C-Better Math Resident Stu with a score of 2.0 or C-Better Math Transfer Stu with a score of 2.0 or) and (MATH 101 or MATH 131 or HCCM 131)) or (TSI MATH Assessment with a score of 910 and Adult Basic Education MATH with a score of 6 or TSI MATH Assessment with a score of 950)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
TCCN: MATH 1332  
MATH 1333  Contemporary Mathematics II  (3 Credits)  
Lecture: 3  
Contemporary Mathematics is a course designed for liberal and fine arts, non-mathematics, non-science, and non business majors. It will provide knowledge of the nature of mathematics, as well as training in mathematical thinking and problem solving. Topics include statistics, probability, combinatiatorics, and game theory. Emphasis will be given to methods and models utilizing these topics in real world applications.
Prerequisite(s): (MATH 132 or MATH 1332) or (MATH 133 or MATH 1314)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
TCCN: MATH 133  
MATH 1342  Elementary Statistics  (3 Credits)  
Lecture: 3  
Basic statistics topics presented for students planning to work in health-related fields.
Prerequisite(s): (( or or or or TSI Exemption TAKS with a score of 2200 or TSI MATH Assessment with a score of 350 or or C-Better Math Resident Stu with a score of 2.00 or C-Better Math Transfer Stu with a score of 2.0 or) and (MATH 101 (may be taken concurrently) or MATH 131 or HCCM 131)) or (TSI MATH Assessment with a score of 910 and Adult Basic Education MATH with a score of 6 or TSI MATH Assessment with a score of 950)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
TCCN: MATH 1342  
MATH 1350  Fundamentals of Mathematics I  (3 Credits)  
Lecture: 3  
Sets, functions, logic, numeration theory, advanced definition perspectives, arithmetic operations (properties and algorithms), rational numbers, system of real numbers, and mathematical applications. Problem solving emphasized.
Prerequisite(s): MATH 133 or MATH 1314
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
TCCN: MATH 1350  
MATH 1351  Foundations of Mathematics II  (3 Credits)  
Lecture: 3  
Basic concepts and methods of probability, statistics, and geometry, including discrete probability, random events, and conditional probability. Analysis of data, informational display, measurement, and geometry (as approached through similarity and congruence, coordinates, and transformations). Problem solving emphasized.
Prerequisite(s): (MATH 133 or MATH 1314)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
TCCN: MATH 1351  
MATH 2305  Discrete Mathematics  (3 Credits)  
Lecture: 3, Lab: 0  
A course designed to prepare math, computer science, and engineering majors for a background in abstraction, notation, and critical thinking for the mathematics most directly related to computer science. Topics include: logic, relations, functions, basic set theory, countability and counting arguments, proof techniques, mathematical induction, combinatorics, theory, and mathematical proof techniques.
Prerequisite(s): ((MATH 2313) or (MATH 2413 or MATH 241))
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 2312  Precalculus Math  (3 Credits)  
Lecture: 3  
Designed to prepare students for the study of MATH 241. Elementary functions that are differentiated and integrated in calculus stressed, including polynomial, rational, algebraic, exponential, logarithmic, and trigonometric functions.
Prerequisite(s): (MATH 133 or MATH 1314)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
TCCN: MATH 2312  
MATH 2318  Linear Algebra  (3 Credits)  
Lecture: 3  
Introduces and provides models for application of the concepts of vector algebra. Topics include finite dimensional vector spaces and their geometric significance; representing and solving systems of linear equations using multiple methods, including Gaussian elimination and matrix inversion; matrices; determinants; linear transformations; quadratic forms; eigenvalues and eigenvector; and applications in science and engineering.
Prerequisite(s): (MATH 2414 or MATH 242)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 2320  Differential Equations  (3 Credits)  
Lecture: 3  
Important methods of solution of ordinary differential equations of the first order and of higher orders with applications to geometry and physics.
Prerequisite(s): (MATH 242 or MATH 2414)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 2412  Accelerated Pre-Calculus  (4 Credits)  
Lecture: 4, Lab: 0  
This course covers elementary functions including polynomial, rational, algebraic, exponential, logarithmic, and trigonometric functions.
Prerequisite(s): (MATH 133 or MATH 1314)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 2413  Calculus & Analytic Geomtry I  (4 Credits)  
Lecture: 3, Lab: 2  
Inequalities, functions, graphs, straight lines, linear equations, limits, continuity, differentiation, maximum-minimum problems, mean value theorem, related rates, and indefinite integrals.
Prerequisite(s): ((MATH 136 or MATH 2312) or (MATH 2412 or MATH 146) or (MATH 133 or MATH 1314) and (MATH 134 or MATH 1316))
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
TCCN: MATH 2413  
MATH 2414  Calculus&Analytic Geometry II  (4 Credits)  
Lecture: 3, Lab: 2  
Definite and indefinite integrals, techniques of integration, transcendental functions, and applications of the definite integral.
Prerequisite(s): (MATH 241 or MATH 2413)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
TCCN: MATH 2414  
MATH 2415  Calculus & Analytic Geo III  (4 Credits)  
Lecture: 4  
Sequences, infinite series, conic sections, polar coordinates, two-dimensional and three-dimensional vectors, parametric equations, partial differentiation, and multiple integrals.
Prerequisite(s): (MATH 242 or MATH 2414)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 3338  Introduction To Probability  (3 Credits)  
Lecture: 3  
This course introduces probability which forms the foundation for understanding statistics, randomness and uncertainty. This course covers discrete and continuous probability distributions, random variables and their distributions, cumulative distribution functions, expectation, variance and covariance. R will be used through out the course.
Prerequisite(s): (MATH 242 or MATH 2414)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 3339  Statistics For Sciences  (3 Credits)  
Lecture: 3  
This course introduces graphical and descriptive methods in statistics, probability and distributions, sampling, estimation, hypothesis testing, regression, exploratory and diagnosis methods, and also discusses analysis of variance if time allows.
Prerequisite(s): (MATH 1342 or MATH 231)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 4332  Introduction to Analysis II  (3 Credits)  
Lecture: 3  
This is the second part of a two-semester course in Introduction to Real Analysis. Topics include real number system; sequences and series; limit, continuity and differentiation; the Riemann integral; sequences and series of functions; elementary metric space theory including compactness, connectedness and completeness; differentiation and integration of functions of several variables.
Prerequisite(s): MATH 339
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 4377  Advanced Linear Algebra I  (3 Credits)  
Lecture: 3  
This course is intended for undergraduates to introduced student of mathematical proofs in Linear systems of equations, matrices, determinants, vector spaces and linear transformations, eigenvalues and eigenvectors..
Prerequisite(s): ((MATH 2318 or MATH 330 or MATH 250) and (MATH 331))
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics
MATH 4378  Advanced Linear Algebra II  (3 Credits)  
Lecture: 3  
Continuation of MATH 4377, Determinants, eigenvalues, eigenvectors, and diagonalization, canonical forms, and inner product and norm, Gram-Schmidt process.
Prerequisite(s): (MATH 4377)
College/School: Col of Science, Engr & Tech
Department: Department of Mathematics