Mathematics (MATH)

MATH 0099  Math Non-Course Based Development  
0 Semester Credit Hours  

PREPARATION WORKSHOP TO HELP STUDENTS ACHIEVE COLLEGE READINESS IN MATHEMATICS UNDER THE TEXAS SUCCESS INITIATIVE. TOPICS INCLUDE FIVE GENERAL AREAS: FUNDAMENTAL MATHEMATICS, ALGEBRA, GEOMETRY, STATISTICS, AND PROBLEM SOLVING.

MATH 0200  Brief Developmental Mathematics  
1-2 Semester Credit Hours (1-2 Lecture Hours)  

TOPICS AS IN MATH 0300. FOR STUDENTS WHO HAVE COMPLETED MOST TOPICS IN MATH 0300. REQUIRES PERMISSION OF MATH DEPARTMENT. (NOT COUNTED TOWARD GRADUATION) FALL, SPRING, MAYMESTER, SUMMER.

Co-requisite: MATH 1314, MATH 1442.  
MATH 0214  Brief Developmental Mathematics-Algebra  
2 Semester Credit Hours (2 Lecture Hours)  

THIS COURSE IS CO-REQUISITE COURSE SUPPORTING FOR MATH 1314. SUPPORT WILL FOCUS ON ESSENTIAL SKILLS REQUIRED FOR SUCCESS IN COLLEGE ALGEBRA (MATH 1314). SUPPORTING TOPICS INCLUDE REVIEW OF INTERMEDIATE ALGEBRA, POLYNOMIAL EQUATIONS, GRAPHING TECHNIQUES, AND APPLICATIONS. COURSE PROVIDES THE NECESSARY ACADEMIC SUPPORT FOR TSI LIABLE STUDENTS CONCURRENTLY ENROLLED IN MATH 1314 AS THE CO-REQUISITE WITH MATH 0214.  STUDENTS WHO REGISTER FOR MATH 0214 MUST CO-REGISTER IN MATH 1314. MATH 0214 IS NOT COUNTED TOWARD GRADUATION. FALL, SPRING, SUMMER.

Co-requisite: MATH 1314.  
MATH 0224  Brief Developmental Mathematics-Business Mathematics  
2 Semester Credit Hours (2 Lecture Hours)  

THIS COURSE IS THE CO-REQUISITE COURSE SUPPORTING FOR MATH 1324.  SUPPORT WILL FOCUS ON ESSENTIAL SKILLS REQUIRED FOR SUCCESS IN BUSINESS MATH (MATH 1324).  SUPPORTING TOPICS INCLUDE THE USE OF CALCULATORS AND TECHNOLOGY.  TOPICS FOCUS ON BASIC REVIEW OF MATHEMATICAL SKILLS, ELEMENTARY ALGEBRA, MATHEMATICAL AND LOGICAL REASONING, PROBABILITY, AND FINANCIAL MANAGEMENT, WHILE PROVIDING THE NECESSARY ACADEMIC SUPPORT FOR TSI LIABLE STUDENTS CONCURRENTLY ENROLLED IN MATH 1324 AS THE CO-REQUISITE WITH MATH 0224.  STUDENTS WHO REGISTER FOR MATH 0224 MUST CO-REGISTER IN MATH 1324. MATH 0224 IS NOT COUNTED TOWARD GRADUATION. FALL, SPRING, SUMMER.

Co-requisite: MATH 1324.  
MATH 0232  Brief Developmental Mathematics-Contemporary Mathematics  
2 Semester Credit Hours (2 Lecture Hours)  

THIS COURSE IS CO-REQUISITE COURSE SUPPORTING FOR MATH 1332. SUPPORT WILL FOCUS ON ESSENTIAL SKILLS REQUIRED FOR SUCCESS IN CONTEMPORARY MATHEMATICS (MATH 1332).  SUPPORTING TOPICS INCLUDE A BASIC REVIEW OF MATHEMATICAL SKILLS, ELEMENTARY ALGEBRA, MATHEMATICAL AND LOGICAL REASONING, PROBABILITY, AND DESCRIPTIVE STATISTICS, WHILE PROVIDING THE NECESSARY ACADEMIC SUPPORT FOR TSI LIABLE STUDENTS CONCURRENTLY ENROLLED IN MATH 1332 AS THE CO-REQUISITE WITH MATH 0232.  STUDENTS WHO REGISTER FOR MATH 0232 MUST CO-REGISTER IN MATH 1332. MATH 0232 IS NOT COUNTED TOWARD GRADUATION. FALL, SPRING, SUMMER.

Co-requisite: MATH 1332.  
MATH 0242  Brief Developmental Mathematics-Statistics  
2 Semester Credit Hours (2 Lecture Hours)  

THIS COURSE IS CO-REQUISITE COURSE SUPPORTING FOR MATH 1442. SUPPORT WILL FOCUS ON ESSENTIAL SKILLS REQUIRED FOR SUCCESS IN STATISTICS FOR LIFE (MATH 1442). SUPPORTING TOPICS INCLUDE THE USE OF CALCULATORS AND TECHNOLOGY. TOPICS FOCUS ON DESCRIPTIVE AND INFERENTIAL STATISTICS, PROBABILITIES INCLUDING NOTATION, WHILE PROVIDING THE NECESSARY ACADEMIC SUPPORT FOR TSI LIABLE STUDENTS CONCURRENTLY ENROLLED IN MATH 1442 AS THE CO-REQUISITE WITH MATH 0242 . STUDENTS WHO REGISTER FOR MATH 0242 MUST CO-REGISTER IN MATH 1442. MATH 0242 IS NOT COUNTED TOWARD GRADUATION.  FALL, SPRING, SUMMER.

Co-requisite: MATH 1442.  
MATH 0300  Developmental Mathematics  
3 Semester Credit Hours (3 Lecture Hours)  

TOPICS INCLUDE NUMBER CONCEPTS, COMPUTATION, ELEMENTARY ALGEBRA, GEOMETRY, AND MATHEMATICAL REASONING. ALSO, LINEAR EQUATIONS AND INEQUALITIES, RATIONAL EXPRESSIONS, EXPONENTS AND RADICALS, QUADRATICS AND WORD PROBLEMS. MAY BE REPEATED FOR CREDIT AS NEEDED TO COMPLETE MASTERY OF ALL TOPICS. (NOT COUNTED TOWARD GRADUATION.) FALL, SPRING, SUMMER.

MATH 0310  Development Mathematics-Algebra  
3 Semester Credit Hours (2 Lecture Hours, 2 Lab Hours)  

3 SEM. HRS. (2:2) TOPICS INCLUDE NUMBER CONCEPTS, COMPUTATION, ELEMENTARY ALGEBRA, AND GEOMETRY. ALSO, LINEAR EQUATIONS AND INEQUALITIES, RATIONAL EXPRESSIONS, EXPONENTS AND RADICALS, QUADRATICS AND WORD PROBLEMS. MAY BE REPEATED FOR CREDIT AS NEEDED TO COMPLETE MASTERY OF ALL TOPICS. (NOT COUNTED TOWARD GRADUATION.) FALL, SPRING, SUMMER.

MATH 0398  Introduction to Algebra  
3 Semester Credit Hours (3 Lecture Hours)  

NUMBER CONCEPTS, COMPUTATION, ELEMENTARY ALGEBRA, GEOMETRY, AND MATHEMATICAL REASONING.

MATH 0399  Intermediate Algebra  
3 Semester Credit Hours (3 Lecture Hours)  

TOPICS INCLUDE LINEAR EQUATIONS AND INEQUALITIES, RATIONAL EXPRESSIONS, EXPONENTS AND RADICALS, QUADRATICS AND WORD PROBLEMS.

Prerequisite: MATH 0398.

MATH 1314  College Algebra  
3 Semester Credit Hours (3 Lecture Hours)  

QUADRATIC EQUATIONS, INEQUALITIES, GRAPHS, LOGARITHMS AND EXPONENTIALS, THEORY OF POLYNOMIAL EQUATIONS, SYSTEMS OF EQUATIONS.

Prerequisite: MATH 0300, minimum score of 530 in 'SAT MATH SECTION', minimum score of 19 in 'ACT1 Math', MATH 0320 or minimum score of 350 in 'TSI Math'.

TCCNS: MATH 1314  
MATH 1316  Trigonometry  
3 Semester Credit Hours (3 Lecture Hours)  

TRIGONOMETRIC FUNCTIONS, IDENTITIES, EQUATIONS INVOLVING TRIGONOMETRIC FUNCTIONS, SOLUTIONS OF RIGHT AND OBLIQUE TRIANGLES.

Prerequisite: (MATH 1314, minimum score of 550 in 'SAT MATH SECTION' or minimum score of 21 in 'ACT1 Math') or minimum score of 21 in 'ACT Math'.

TCCNS: MATH 1316  
MATH 1324  Mathematics for Business and Social Sciences  
3 Semester Credit Hours (3 Lecture Hours)  

STUDENTS WILL LEARN HOW THE PROPERTIES AND LANGUAGE OF MATHEMATICS CAN BE USED IN BUSINESS AND REAL-WORLD PROBLEM SOLVING AND UNDERSTAND THE TECHNIQUES AND APPLICATIONS OF FINANCE PROBLEMS, BASIC MATRIX OPERATION, BASIC COUNTING PRINCIPLES, AND PROBABILITY ANALYSIS IN MODELING REAL-WORLD SCENARIOS.

Prerequisite: minimum score of 550 in 'SAT MATH SECTION', minimum score of 21 in 'ACT Math' or minimum score of 21 in 'ACT1 Math'.

TCCNS: MATH 1324  
MATH 1325  Calculus for Business & Social Sciences  
3 Semester Credit Hours (3 Lecture Hours)  

STUDENTS WILL DEVELOP AND COMBINE THE CONCEPTS IN AND RELATIONSHIPS BETWEEN MATHEMATICS AND BUSINESS FROM THE FUNDAMENTALS OF CALCULUS AND OPTIMIZATION IN ALL BUSINESS FIELDS. STUDENTS ARE EXPECTED TO LEARN THE MATERIALS ALGEBRAICALLY WITH TECHNOLOGY. STUDENTS WILL COMBINE THE CONCEPTS OF LIMITS, CONTINUATION, DIFFERENTIATION AND INTEGRATION TECHNIQUES TO SOLVE PROBLEMS IN BUSINESS, ECONOMICS, AND SOCIAL SCIENCES. 

Prerequisite: MATH 1324.

TCCNS: MATH 1325  
MATH 1332  Contemporary Mathematics  
3 Semester Credit Hours (3 Lecture Hours)  

THIS COURSE SERVES AS A TERMINAL COURSE AND SUPPLIES A BRIEF OVERVIEW OF SEVERAL TOPICS IN MATHEMATICS.  TOPICS MAY INCLUDE INTRODUCTORY TREATMENTS OF SETS, LOGIC, NUMBER SYSTEMS, NUMBER THEORY, RELATIONS, FUNCTIONS, PROBABILITY AND STATISTICS. APPROPRIATE APPLICATIONS ARE INCLUDED. THIS COURSE EMPHASIZES USING CRITICAL THINKING TO MAKE DECISIONS BASED ON INFORMATION.

Co-requisite: MATH 0200.  
TCCNS: MATH 1332  
MATH 1390  Introduction to Mathematical Topics  
1-3 Semester Credit Hours (1-3 Lab Hours)  

A COURSE TO INTRODUCE STUDENTS TO MATHEMATICAL TOPICS IN A FORMAL SETTING. THE COURSE MAY SUPPORT PROBLEM SOLVING, OR SYSTEMATIC INVESTIGATIONS OF TOPICS OUTSIDE THE CURRENT MATHEMATICAL CATALOG. MAY NOT BE SUBSTITUTED FOR REGULARLY SCHEDULED OFFERINGS.

MATH 1442  Statistics for Life  
4 Semester Credit Hours (3 Lecture Hours, 2 Lab Hours)  

AN INTRODUCTION TO STATISTICAL CONCEPTS AND METHODS USED IN ALL DISCIPLINES TO ENHANCE DECISION MAKING BASED ON DATA ANALYSIS, INCLUDING: BASIC EXPERIMENTAL DESIGN MODELS, MEASUREMENT AND DATA COLLECTION THROUGH SAMPLING; DISPLAY AND SUMMARY OF INFORMATION, AND ASSESSMENT OF RELATIONSHIP THROUGH DESCRIPTIVE TECHNIQUES; PROBABILITY CONCEPTS LEADING TO ESTIMATION AND HYPOTHESIS TESTING OF MEANS, VARIANCE AND PROPORTIONS, REGRESSION ANALYSIS, ONE-FACTOR ANOVA AND CHI-SQUARE TEST OF INDEPENDENCE; AND APPLICATIONS THROUGH CASE STUDIES. THE LABORATORY COMPONENT OF THE COURSE OFFERS APPLICATIONS OF THE THEORY PRESENTED DURING THE CLASSROOM SESSIONS.

Prerequisite: MATH 0300, minimum score of 530 in 'SAT MATH SECTION', minimum score of 19 in 'ACT1 Math', MATH 0310, 0320, minimum score of 350 in 'TSI Math' or minimum score of 19 in 'ACT Math'.

TCCNS: MATH 1442  
MATH 2305  Discrete Mathematics I  
3 Semester Credit Hours (3 Lecture Hours)  

AN INTRODUCTION TO TOPICS IN DISCRETE MATHEMATICS WITH AN EMPHASIS ON APPLICATIONS IN MATHEMATICS AND COMPUTER SCIENCE. TOPICS INCLUDE FORMAL LOGIC, GRAPHS, TREES AND RELATED ALGORITHMS, AND COMBINATORICS AND DISCRETE PROBABILITY.

Prerequisite: MATH 2413, minimum score of 620 in 'SAT Math', minimum score of 620 in 'SAT1 Mathematics', minimum score of 640 in 'SAT MATH SECTION', minimum score of 27 in 'ACT Math' or minimum score of 27 in 'ACT1 Math'.

TCCNS: MATH 2305  
MATH 2312  Precalculus  
3 Semester Credit Hours (3 Lecture Hours)  

A MORE RAPID TREATMENT OF THE MATERIAL IN MATH 1314 AND MATH 1316, THIS COURSE IS DESIGNED FOR STUDENTS WHO WISH A REVIEW OF THE ABOVE MATERIAL, OR WHO ARE VERY WELL PREPARED. FUNCTIONS, GRAPHS, TRIGONOMETRY, AND ANALYTIC GEOMETRY.

Prerequisite: MATH 1314, minimum score of 550 in 'SAT MATH SECTION', minimum score of 21 in 'ACT Math' or minimum score of 21 in 'ACT1 Math'.

TCCNS: MATH 2312  
MATH 2413  Calculus I  
4 Semester Credit Hours (4 Lecture Hours, 2 Lab Hours)  

LIMITS, CONTINUITY, DERIVATIVES, APPLICATIONS OF THE DERIVATIVE, AND AN INTRODUCTION TO INTEGRALS. CONTAINS A LABORATORY COMPONENT.

Prerequisite: MATH 1316, 2312, minimum score of 640 in 'SAT MATH SECTION' or minimum score of 27 in 'ACT1 Math'.

TCCNS: MATH 2413  
MATH 2414  Calculus II  
4 Semester Credit Hours (3 Lecture Hours, 2 Lab Hours)  

TECHNIQUES OF INTEGRATION, APPLICATIONS OF INTEGRALS, SEQUENCES, SERIES, TAYLOR POLYNOMIALS AND SERIES. PARAMETRIC EQUATIONS. CONTAINS A LABORATORY COMPONENT.

Prerequisite: MATH 2413.

TCCNS: MATH 2414  
MATH 2415  Calculus III  
4 Semester Credit Hours (3 Lecture Hours, 2 Lab Hours)  

VECTORS AND SPACE CURVES, PARTIAL DERIVATIVES, MULTIPLE INTEGRALS, SPECIAL COORDINATE SYSTEMS, LINE AND SURFACE INTEGRALS, GREEN'S, STOKES', AND THE DIVERGENCE THEOREMS. CONTAINS A LABORATORY COMPONENT.

Prerequisite: MATH 2414.

TCCNS: MATH 2415  
MATH 3300  Geospatial Mathematical Techniques  
3 Semester Credit Hours (3 Lecture Hours)  

CHARACTERISTICS OF GEOGRAPHIC/SPATIAL INFORMATION; OVERVIEW OF RELEVANT SECTIONS OF NUMBERS, ALGEBRA AND GEOMETRY, PLANE AND SPHERICAL TRIGONOMETRY, MATRICES, DETERMINANTS AND VECTORS, CURVES AND SURFACES, INTEGRAL AND DIFFERENTIAL CALCULUS, PARTIAL DERIVATIVES, WITH AN EMPHASIS ON GEOSPATIAL APPLICATIONS. CONCEPTS OF GEOSPATIAL COORDINATE SYSTEMS AND GEOSPATIAL COORDINATE TRANSFORMATIONS; OVERVIEW OF SPATIAL STATISTICS AND BEST-FIT SOLUTIONS WITH GEOSPATIAL APPLICATIONS. STUDENTS MAY NOT RECEIVE CREDIT FOR BOTH MATH 3300 AND GISC 3300.

Prerequisite: MATH 2413 and 2414.

MATH 3301  Introduction to Complex Analysis  
3 Semester Credit Hours (3 Lecture Hours)  

THIS COURSE INTRODUCES FUNCTIONS OF A COMPLEX VARIABLE AND THEIR APPLICATIONS.  CONTENTS INCLUDE DIFFERENTIATION AND INTEGRATION; ZEROS, POLES AND RESIDUES; CONFORMAL MAPPINGS.

Prerequisite: (MATH 2415) or (MATH 2414 and 3314).

MATH 3310  Mathematical Analysis for Mechanical Engineering  
3 Semester Credit Hours (3 Lecture Hours)  

APPLICATIONS OF FUNDAMENTALS OF LINEAR ALGEBRA, VECTOR ANALYSIS, NUMERICAL METHODS, COMPUTER PROGRAMMING AND PROBABILITY AND STATISTICS INTO MECHANICAL ENGINEERING. MAY NOT COUNT TOWARDS THE MATH MAJOR. STUDENTS MAY NOT RECEIVE CREDIT FOR BOTH MATH 3310 AND MEEN 3310.

Prerequisite: MATH 3315.

MATH 3311  Linear Algebra  
3 Semester Credit Hours (3 Lecture Hours)  

FUNDAMENTALS OF LINEAR ALGEBRA AND MATRIX THEORY. TOPICS INCLUDE VECTORS, MATRIX OPERATIONS, LINEAR TRANSFORMATIONS, FUNDAMENTAL PROPERTIES OF VECTOR SPACES, SYSTEMS OF LINEAR EQUATIONS, EIGENVALUES AND EIGENVECTORS. APPLICATIONS.

Prerequisite: MATH 2413.

MATH 3312  College Geometry  
3 Semester Credit Hours (2 Lecture Hours, 2 Lab Hours)  

A CAREFUL STUDY OF THE FOUNDATIONS OF EUCLIDEAN GEOMETRY BY SYNTHETIC METHODS WITH AN INTRODUCTION TO NON-EUCLIDEAN GEOMETRIES. AN INTRODUCTION TO TRANSFORMATIONAL GEOMETRY.

Prerequisite: MATH 2413.

MATH 3313  Foundations of Number Theory  
3 Semester Credit Hours (3 Lecture Hours)  

THIS COURSE ASSISTS A STUDENT'S TRANSITION TO ADVANCED MATHEMATICS. FUNDAMENTALS OF LOGIC AND PROOF ARE REVIEWED AND APPLIED TO TOPICS FROM ELEMENTARY NUMBER THEORY. 

Prerequisite: MATH 2305 and 2414.

MATH 3314  Foundations of Real Numbers  
3 Semester Credit Hours (3 Lecture Hours)  

 THIS COURSE ASSISTS A STUDENT'S TRANSITION TO ADVANCED MATHEMATICS.  FUNDAMENTALS OF LOGIC AND PROOF ARE REVIEWED AND APPLIED TO DEVELOPMENT OF THE REAL NUMBER LINE.

Prerequisite: MATH 2414 and 2305.

MATH 3315  Differential Equations  
3 Semester Credit Hours (3 Lecture Hours)  

AN INTRODUCTION TO BOTH THEORETICAL AND APPLIED ASPECTS OF ORDINARY DIFFERENTIAL EQUATIONS. TOPICS INCLUDE: FIRST ORDER EQUATIONS, LINEAR SECOND ORDER EQUATIONS, ELEMENTARY NUMERICAL METHODS, AND THE LAPLACE TRANSFORM.

Prerequisite: MATH 2414.

MATH 3342  Applied Probability and Statistics  
3 Semester Credit Hours (3 Lecture Hours)  

A CALCULUS BASED INTRODUCTION TO PROBABILITY AND STATISTICS. EMPHASIS WILL BE ON DEVELOPMENT OF STATISTICAL THINKING AND WORKING WITH DATA. TOPICS INCLUDE PROBABILITY THEORY, DESCRIPTIVE STATISTICS, COMMON DISTRIBUTIONS, AND STATISTICAL INFERENCE.

Prerequisite: MATH 2413.

MATH 3345  Statistical Modeling and Data Analysis  
3 Semester Credit Hours (3 Lecture Hours)  

AN INTRODUCTION TO PROBABILITY/STATISTICAL MODELING AND DATA ANALYSIS TECHNIQUES TO INVESTIGATE DATA.  TOPICS INCLUDE: EXPLORATORY DATA ANALYSIS, PROBABILITY MODELS AND SIMULATION, SAMPLING DISTRIBUTIONS, STATISTICAL INFERENCE.  APPLICATIONS TO REAL WORLD PROBLEMS.  STUDENTS WILL BE EXPECTED TO PRESENT AND JUSTIFY RESULTS ORALLY AND IN WRITING.

Prerequisite: MATH 2413 and (COSC 1330 or 1435).

MATH 3347  Introduction to Probability  
3 Semester Credit Hours (3 Lecture Hours)  

THIS IS AN INTRODUCTION TO PROBABILITY. IN THE COURSE, KEY FUNDAMENTAL CONCEPTS OF PROBABILITY, RANDOM VARIABLES AND THEIR DISTRIBUTIONS, EXPECTATIONS, AND CONDITIONAL PROBABILITIES WILL BE COVERED. TOPICS INCLUDE COUNTING RULES, COMBINATORIAL ANALYSIS, SAMPLE SPACES, AXIOMS OF PROBABILITY, CONDITIONAL PROBABILITY AND INDEPENDENCE, DISCRETE AND CONTINUOUS RANDOM VARIABLES, JOINTLY DISTRIBUTED RANDOM VARIABLES, CHARACTERISTICS OF RANDOM VARIABLES, LAW OF LARGE NUMBERS AND CENTRAL LIMIT THEOREM, RANDOM PROCESSES, MARKOV CHAINS, MARKOV CHAIN-MONTE CARLO, POISSON PROCESS AND ENTROPY.

Prerequisite: MATH 2415.

MATH 3385  Linear Optimization and Decisions  
3 Semester Credit Hours (3 Lecture Hours)  

THIS COURSE INTRODUCES THE LINEAR PROGRAMMING AND OPTIMIZATION PROBLEMS ARISING IN MANY APPLICATIONS. CONTENTS INCLUDE LINEAR PROGRAMMING MODELS WITH SOLUTIONS, THE SIMPLEX METHOD, DUALITY THEORY AND ITS USE FOR MANAGEMENT DECISION MAKING, DUAL SIMPLEX METHOD AND SENSITIVITY ANALYSIS.

Prerequisite: MATH 3311 and 2413.

MATH 3390  Problem Solving in Mathematics  
1-3 Semester Credit Hours (1-3 Lecture Hours)  

A PROBLEM SOLVING COURSE FOR STUDENTS WHO WANT TO PARTICIPATE IN MATH PROBLEM SOLVING COMPETITIONS, TRAIN FOR THE ACTUARIAL OR OTHER PROFESSIONAL EXAMINATIONS, WORK ON RESEARCH AIMED AT CONFERENCE PRESENTATIONS, OR PERFORM RESEARCH PROJECTS AT THE JUNIOR LEVEL THAT ARE NOT AT THE LEVEL OF DIRECTED INDEPENDENT STUDY MATERIAL.

Prerequisite: MATH 2414.

MATH 4185  Senior Mathematics Seminar  
1 Semester Credit Hour (1 Lecture Hour)  

THIS COURSE INTRODUCES A WEEKLY MATHEMATICS SEMINAR.  STUDENTS WILL GENERATE A VIABLE PROJECT FOR THE CAPSTONE COURSE.

MATH 4285  Mathematics Major Capstone  
2 Semester Credit Hours (2 Lecture Hours)  

DEVELOPMENT OF PROJECTS AS PROPOSED IN MATH 4185, AS WELL AS MATHEMATICS COMMUNICATION SKILLS.  STUDENTS WILL PRESENT THEIR PROJECTS, AND TAKE A NATIONAL LEVEL ASSESSMENT.

Prerequisite: MATH 4185.

MATH 4301  Introduction to Analysis  
3 Semester Credit Hours (3 Lecture Hours)  

AN ADVANCED TREATMENT OF THE FOUNDATIONS OF CALCULUS STRESSING RIGOROUS PROOFS OF THEOREMS. TOPICS INCLUDE: ELEMENTS OF PROPOSITIONAL AND PREDICATE LOGIC, TOPOLOGY OF THE REAL NUMBERS, SEQUENCES, LIMITS, THE DERIVATIVE, AND THE RIEMANN INTEGRAL.

Prerequisite: MATH 2415 and 3314.

MATH 4306  Modern Algebra  
3 Semester Credit Hours (3 Lecture Hours)  

FUNDAMENTALS OF SET OPERATIONS, MAPS AND RELATIONS, GROUPS, RINGS AND FIELD THEORY. TOPICS INCLUDE PERMUTATION GROUPS, COSETS, HOMOMORPHISMS AND ISOMORPHISMS, DIRECT PRODUCT OF GROUPS AND RINGS, INTEGRAL DOMAINS FIELD OF QUOTIENTS, FUNDAMENTAL PROPERTIES OF INTEGERS, THE RING OF INTEGERS MODULO N, AND RINGS OF POLYNOMIALS. APPLICATIONS.

Prerequisite: MATH 3311 and 3313.

MATH 4312  Differential Geometry  
3 Semester Credit Hours (3 Lecture Hours)  

DIFFERENTIAL FORMS ON R1, R2, R3, AND RN; INTEGRATION AND DIFFERENTIATION OF DIFFERENTIAL FORMS; STOKES' THEOREM; MANIFOLDS; GAUSSIAN CURVATURE AND THE GAUSS-BONNET THEOREM. 

Prerequisite: MATH 2415.

MATH 4315  Partial Differential Equations  
3 Semester Credit Hours (3 Lecture Hours)  

AN INTRODUCTION TO PARTIAL DIFFERENTIAL EQUATIONS EMPHASIZING THE WAVE, DIFFUSION AND POTENTIAL (LAPLACE) EQUATIONS. A FOCUS ON UNDERSTANDING THE PHYSICAL MEANING AND MATHEMATICAL PROPERTIES OF SOLUTIONS OF PARTIAL DIFFERENTIAL EQUATIONS. METHODS INCLUDE FUNDAMENTAL SOLUTIONS AND TRANSFORM METHODS FOR PROBLEMS ON THE LINE, AND SEPARATION OF VARIABLES USING ORTHOGONAL SERIES FOR PROBLEMS IN REGIONS WITH BOUNDARY. ADDITIONAL TOPICS INCLUDE HIGHER DIMENSIONAL PROBLEMS AND SPECIAL TOPICS LIKE HARMONIC FUNCTIONS, THE MAXIMUM PRINCIPLE, GREEN'S FUNCTIONS ETC.

Prerequisite: MATH 3315 and 2415.

MATH 4321  Applied Regression Analysis  
3 Semester Credit Hours (3 Lecture Hours)  

INTRODUCTION TO THE FORMULATION OF LINEAR MODELS AND THE ESTIMATION OF THE PARAMETERS OF SUCH MODELS, WITH PRIMARY EMPHASIS ON LEAST SQUARES. APPLICATION OF MULTIPLE REGRESSION AND CURVE FITTING AND THE DESIGN OF EXPERIMENTS FOR FITTING REGRESSION MODELS.

Prerequisite: MATH 1342, 2342 or 1470.

MATH 4328  Discrete Mathematics II  
3 Semester Credit Hours (3 Lecture Hours)  

A CONTINUED STUDY OF TOPICS FROM DISCRETE MATHEMATICS I WITH ADDITIONAL TOPICS FROM DISCRETE MATHEMATICS THAT HAVE STRONG APPLICATION TO THE FIELD OF COMPUTER SCIENCE. ADDITIONAL TOPICS INCLUDE: RECURRENCE RELATIONS, FORMAL LANGUAGES, AND FINITE-STATE MACHINES.

Prerequisite: MATH 2305 and COSC 2437.

MATH 4342  Introduction to Mathematical Statistics  
3 Semester Credit Hours (3 Lecture Hours)  

THIS IS A FIRST COURSE IN MATHEMATICAL STATISTICS, TOPICS INCLUDE: MOMENT-GENERATING FUNCTIONS, FUNCTIONS OF RANDOM VARIABLES, SAMPLING DISTRIBUTIONS, METHODS OF ESTIMATION  INCLUDING BAYESIAN ESTIMATION, CHARACTERISTICS OF ESTIMATORS, INTERVAL ESTIMATION, HYPOTHESIS TESTING, NEYMAN-PEARSON LEMMA, LIKELIHOOD RATIO TEST, TESTS INVOLVING MEANS AND VARIANCES, REGRESSION AND CORRELATION, MULTIPLE LINEAR REGRESSION, INTRODUCTION TO ANOVA, NON-PARAMETRIC TESTS.

Prerequisite: MATH 2415.

MATH 4385  Applied Modeling  
3 Semester Credit Hours (3 Lecture Hours)  

CAPSTONE COURSE FOR MATHEMATICS MAJORS. THE CONSTRUCTION OF MATHEMATICAL MODELS FROM AREAS SUCH AS ECONOMICS, REFINING, BIOLOGY AND MARICULTURE, ETC. WHERE POSSIBLE, LOCAL PHENOMENA WILL BE MODELED WITH THE ASSISTANCE OF OUTSIDE CONSULTANTS.

Prerequisite: MATH 3315 and 3342 or MATH 3345.

MATH 4390  Selected Topics  
3 Semester Credit Hours (3 Lecture Hours)  

OFFERED ON SUFFICIENT DEMAND.

MATH 4696  Directed Independent Study  
1-6 Semester Credit Hours  

SEE COLLEGE DESCRIPTION.