Department of Mathematics
Chair: Dr. Milena Stanislavova
The Department of Mathematics offers courses in pure and applied mathematics and a major and minor in mathematics leading to employment in education, government, business, and industry. In addition, mathematics courses are offered to support programs in the physical, social, biological, and health sciences and in engineering, business, and education. Students considering a major or minor in mathematics should consult the undergraduate academic advisor or the Director of Undergraduate studies to arrange for counseling on career and academic objectives and program planning.
The Department of Mathematics Web site (https://www.uab.edu/cas/mathematics/) summarizes information about the Departmental programs.
For the major there are four distinct B.S. degree tracks in mathematics:
 Mathematics (traditional track)
 Mathematics with Honors
 Applied Mathematics and Scientific Computation
 Mathematical Reasoning
Students interested in secondary teaching certification in mathematics normally take the traditional track. Students interested in middle school teaching normally take the mathematical reasoning track. Certification courses are part of the UABTeach program.
Mathematics FastTrack Program
The Department of Mathematics has an accelerated program for qualified students. Through this FastTrack option, a mathematics major can earn a BS degree and an MS degree in mathematics in four to five years (depending upon whether summer terms are included). As another option, students can pursue a BS in mathematics and an MS in biostatistics by choosing the biostatistics track at the end of the third year. Each individual FastTrack student works with a mentor from the graduate faculty on a mathematics research project during every term. FastTrack students will usually begin taking graduate mathematics courses after the third year, and are automatically admitted to the graduate program in the fourth year, if performing satisfactorily. Students who complete this program will be prepared for continued graduate work in mathematics and the sciences, or for careers in industry. FastTrack scholarships are available. For more information, contact the Honors Program Director, Dr. Oversteegen, at (205) 9342154.
Course Numbering System
Mathematics course numbers indicate both the level and area of the course. The first digit (0, 1, 2, 3, or 4) indicates developmental (no degree credit), freshman, sophomore, junior, or senior level, respectively. The second and third digits indicate area, according to this scheme:
 00–10 — Precalculus
 11–19 — History of mathematics and mathematical reasoning
 20–29 — Logic and foundations
 30–39 — Algebra
 40–49 — Analysis
 50–59 — Differential equations
 60–69 — Applicationsoriented courses
 70–79 — Geometry and topology
 80–89 — Probability and statistics
 90–99 — Special topics, seminars, and independent research
For example, MA 454 Intermediate Differential Equations is an advanced level differential equations course. Calculus courses (MA 125, MA 225 , MA 126, MA 226 and MA 227) are exceptions to the area numbering scheme.
Graduate Programs
The Department of Mathematics offers graduate study leading to the degrees of Master of Science in mathematics (thesis or nonthesis option) and Doctor of Philosophy in applied mathematics. Further information may be obtained from the Graduate Program Director, or the UAB Graduate School Catalog.
See the UAB Graduate School Catalog for descriptions of graduate courses.
Bachelor of Science with a Major in Mathematics
Requirements  Hours  

Blazer Core Curriculum  41  
General Electives  40  
Required Mathematics Courses ^{1}  
Thirtynine semester hours with twentyone at the 300 level or above  
MA 125  Calculus I  4 
or MA 225  Calculus I  Honors  
MA 126  Calculus II  4 
or MA 226  Calculus II  Honors  
MA 227  Calculus III  4 
MA 252  Introduction to Differential Equations  3 
MA 260  Introduction to Linear Algebra  3 
or MA 434  Algebra I: Linear  
MA 440  Advanced Calculus I  3 
MA 441  Advanced Calculus II  3 
Select one of the following:  3  
Scientific Programming  
Matrix Computation  
Mathematical Modeling  
Modeling with Partial Differential Equations  
Numerical Analysis I  
Mathematics Electives and Advanced Mathematics Sequence  12  
Four electives selected from courses numbered 300 or above, each of which must have at least a calculus (MA 125) prerequisite. MA 313 counts toward the major only for students in UABTeach. MA 411 or MA 480 does not count toward the major.  
Choose one of the following Advanced Mathematics sequences as electives:  
Algebra I: Linear and Algebra II: Modern  
Intermediate Differential Equations and Partial Differential Equations I  
Partial Differential Equations I and Modeling with Partial Differential Equations  
Introduction to Topology I and Introduction to Topology II  
Probability and Mathematical Statistics  
Probability and Advanced Probability  
Total Hours  120 
 ^{ 1 }
Completion of MA 125 or MA 225 automatically satisfies the Core Curriculum Area III: Math requirement. MA 126 or MA 226, MA 252 and MA 361 are all quantitative literacy (QL) and writing (W) courses. In addition, MA 125 or MA 225 is a QL course. UAB requires that all students complete a capstone requirement. For this track the capstone requirement is MA 441 .
Grade Requirement
A grade of C or better is required in each course counted toward the major.
Minor
 A minor is required for this degree. Those interested in secondary education can select the STEM Education minor offered by the School of Education.
General Electives
Students must take general electives to reach the 120 semester hour requirement
Bachelor of Science with a Major in Mathematics and an Applied Mathematics and Scientific Computation Track
This track aims to provide graduates with the mathematical and computational skills needed to develop and maintain mathematical models from the Sciences, Engineering, Medicine and the Biosciences, Business, and elsewhere.
A mathematical model is a rendering of some realworld system into the language of mathematics, usually taking the form of a single partial differential equation, or a system of such equations. The development of effective mathematical models is a fundamental need of our society, based as it is upon science and technology, and these models act as the indispensable link between us humans and the multitude of machines that we use to manage and investigate our world.
Requirements  Hours  

Blazer Core Curriculum  41  
General Electives  40  
Required Mathematics Courses ^{1}  
39 semester hours with 21 hours at the 300 level or above  
MA 125  Calculus I  4 
or MA 225  Calculus I  Honors  
MA 126  Calculus II  4 
or MA 226  Calculus II  Honors  
MA 227  Calculus III  4 
MA 252  Introduction to Differential Equations  3 
MA 260  Introduction to Linear Algebra  3 
or MA 434  Algebra I: Linear  
MA 360  Scientific Programming  3 
or CS 380  Matrix Computation  
MA 455  Partial Differential Equations I  3 
or MA 461  Modeling with Partial Differential Equations  
or MA 486  Mathematical Statistics  
Mathematics Electives  6  
Two additional electives selected from courses numbered 300 or above, and from areas 3099 of the course numbering system for mathematics. MA 411 and MA 480 does not count toward the major.  
Advanced Mathematics Electives  9  
Select three additional electives from the following courses:  
Algebra I: Linear  
Algebra II: Modern  
Vector Analysis  
Complex Analysis  
Intermediate Differential Equations  
Partial Differential Equations I  
Mathematical Game Theory  
Modeling with Partial Differential Equations  
Intro to Stochastic Differential Equations  
Introduction to Optimization  
Gas Dynamics  
Numerical Analysis I  
Mathematical Finance  
Probability  
Mathematical Statistics  
Research Methods in Mathematics  
Advanced Probability  
Total Hours  120 
 ^{ 1 }
Completion of MA 125 or MA 225 automatically satisfies the Core Curriculum Area III: Math requirement. MA 126 or MA 226 and MA 252 are quantitative literacy (QL) and writing (W) courses. In addition, MA 125 or MA 225 is a QL course. UAB requires that all students must complete a capstone requirement. For this track the capstone requirement is one of MA 455, MA 461,and MA 486.
Grade Requirement
A grade of C or better is required in each course counted toward the major.
Minor
 A minor in the sciences, business, or engineering is required for this degree. Students in UABTeach may select the minor in STEM Education offered by the School of Education.
General Electives
Students must take general electives to reach the 120 semester hour requirement.
Bachelor of Science with a Major in Mathematics and a Mathematical Reasoning Track
The Mathematical Reasoning Track is designed to develop a deeper level of understanding of mathematical thinking, including a deepening knowledge of important mathematical ideas, understanding the role of inquiry and reflection in learning mathematics, understanding the role of cultivating a productive disposition in tackling mathematical problems, and developing the ability to communicate mathematics to audiences at different levels. In particular, this track is appropriate for students interested in pursuing certification in mathematics at the middle school level.
Requirements  Hours  

Blazer Core Curriculum  41  
General Electives  45  
Required Mathematics Courses ^{1}  
MA 125  Calculus I  4 
or MA 225  Calculus I  Honors  
Select two courses from the following three groups:  67  
PreCalculus Trigonometry ^{2}  
or MA 107  PreCalculus Algebra and Trigonometry  
Finite Mathematics  
or MA 418  Statistics for Teachers  
Calculus II  
or MA 226  Calculus II  Honors  
Additonal Required Mathematics Courses  
MA 311  History of Mathematics I  3 
MA 313  Patterns, Functions and Algebraic Reasoning  3 
MA 314  Geometric and Proportional Reasoning  3 
MA 316  Numerical Reasoning  3 
MA 361  Mathematical Modeling  3 
MA 411  Integrating Mathematical Ideas  3 
Mathematics Electives  
Two electives selected from the following courses: MA 260 or MA 434, MA 418, MA 419, MA 435, MA 460, MA 472, MA 485  6  
Total Hours  120121 
 ^{ 1 }
Completion of MA 106 or MA 107 automatically satisfies the Core Curriculum Area III: Math requirement. MA 106, MA 107, MA 110, MA 125 or MA 225, MA 361, MA 418 are all quantitative literacy courses. In addition, MA 361 is a QEP writing (W) course. UAB requires that all students complete a capstone requirement. The capstone requirement for this track is MA 411 . At least three courses in this major must be at the 400 level.
 ^{ 2 }
Students cannot count both MA 106 and MA 107 toward their major.
 ^{ 3 }
MA 419 cannot be repeated for credit toward this major.
Grade Requirements
A grade of C or better is required in each course counted toward the major. Requirements are 3436 semester hours in mathematics with 24 at the upper level (courses numbered 300 and above). Nine hours must be taken at the 400 level.
Minor
 A minor is required for this degree. Those interested in middle school education can select the STEM Education minor offered by the School of Education.
General Electives
Students must take general electives to reach the 120 semester hour requirement
 Proposed Program of Study for a Major in Mathematics with a Traditional Track
 Proposed Program of Study for a Major in Mathematics with a Traditional Track and Leading to Secondary Teaching Certification
 Proposed Program of Study for a Major in Mathematics with an Applied Mathematics and Scientific Computation Track
 Proposed Program of Study for a Major in Mathematics with a Mathematical Reasoning Track
 Proposed Program of Study for a Major in Mathematics with a Fast Track Plan
Proposed Program of Study for a Major in Mathematics with a Traditional Track
Freshman  

First Term  Hours  Second Term  Hours 
EH 101  3  EH 102  3 
MA 125 or 225  4  MA 126 or 226  4 
Blazer Core Creative Arts  3  Blazer Core History & Meaning  3 
Blazer Core Humans & Their Socities  3  Blazer Core Communicating in the Modern World  3 
Blazer Core Local Beginnings  3  Blazer Core Thinking Broadly  3 
16  16  
Sophomore  
First Term  Hours  Second Term  Hours 
Blazer Core Scientific Inquiry  4  Blazer Core Scientific Inquiry  4 
Blazer Core City as a Classroom  3  MA 227  4 
MA 252  3  Math 300Level Elective with MA 125 Prerequisite  3 
MA 260  3  Minor Course Selection  3 
Minor Course Selection  3  
16  14  
Junior  
First Term  Hours  Second Term  Hours 
MA 440  3  MA 441  3 
Math Directed Elective  3  Math 300Level Elective with MA 125 Prerequisite  3 
Minor Course Selection  3  Minor Course Selection  3 
General Elective  3  General Elective  3 
General Elective  3  General Elective  3 
15  15  
Senior  
First Term  Hours  Second Term  Hours 
Advanced Math Sequence  3  Advanced Math Sequence  3 
Minor Course Selection  3  Minor Course Selection  3 
General Elective  3  General Elective  3 
General Elective  3  General Elective  3 
General Elective  3  General Elective  1 
15  13  
Total credit hours: 120 
Proposed Program of Study for a Major in Mathematics with a Traditional Track and Leading to Secondary Teaching Certification
Freshman  

First Term  Hours  Second Term  Hours 
MA 125 or 225  4  MA 126 or 226  4 
EH 101  3  EH 102  3 
HY 101  3  HY 102  3 
ARH 101  3  CS 103  4 
EHS 125  1  EHS 126  1 
14  15  
Sophomore  
First Term  Hours  Second Term  Hours 
MA 227  4  MA 252  3 
MA 361  3  PH 222  4 
PH 221  4  HY 275 or PHL 270  3 
EHS 325  3  PY 101  3 
General Elective  2  
14  15  
Junior  
First Term  Hours  Second Term  Hours 
MA 260  3  MA 435  3 
MA 472  3  MA 486  3 
MA 485  3  EC 210  3 
CMST 101  3  PHL 115  3 
EHS 326  3  Elective  4 
15  16  
Senior  
First Term  Hours  Second Term  Hours 
MA 440  3  MA 441  3 
EHS 327  3  EHS 425  6 
Elective  9  EHS 426  1 
Elective  6  
15  16  
Total credit hours: 120 
Proposed Program of Study for a Major in Mathematics with an Applied Mathematics and Scientific Computation Track
Freshman  

First Term  Hours  Second Term  Hours 
MA 125 or 225  4  MA 126 or 126  4 
EH 101  3  EH 102  3 
HY 101  3  HY 102  3 
Core Curriculum  3  Core Curriculum  3 
CAS 112  3  General Elective  3 
16  16  
Sophomore  
First Term  Hours  Second Term  Hours 
MA 227  4  MA 252  3 
MA 260  3  Core Curriculum  3 
CS 103  4  Core Curriculum  4 
Core Curriculum  4  Core Curriculum  3 
CS 203  4  
15  17  
Junior  
First Term  Hours  Second Term  Hours 
MA 360  3  MA 485  3 
MA 4XX Elective  3  MA Elective  3 
Core Curriculum  6  CS 303  3 
CS 250  3  Core Curriculum  3 
General Elective  3  
15  15  
Senior  
First Term  Hours  Second Term  Hours 
MA 4XX Elective  3  MA 468  3 
CS 330  3  MA Elective  3 
MA Elective  3  General Electives  7 
General Electives  6  
15  13  
Total credit hours: 122 
Proposed Program of Study for a Major in Mathematics with a Mathematical Reasoning Track
Freshman  

First Term  Hours  Second Term  Hours 
MA 110 or 418  3  MA 106 or 107  34 
EHS 125  1  EHS 126  1 
EH 101  3  EH 102  3 
EYE/Local Beginnings  3  General Elective  4 
History and Meaning Course  3  Scientific Inquiry Course with Lab  4 
General Elective  3  
16  1516  
Sophomore  
First Term  Hours  Second Term  Hours 
MA 160 (or MA 168 or MA 125 or MA 225)^{1}  4  MA 125 (or MA 225 or MA 268 or MA 126 or MA226)^{1}  4 
MA 313  3  MA 314  3 
EHS 325  3  HY 275 or PHL 270  3 
Reasoning Course  3  Communicating in the Modern World Course  3 
History and Meaning Course  3  Generl Elective  3 
16  16  
Junior  
First Term  Hours  Second Term  Hours 
MA 316  3  MA 361  3 
EHS 326  3  MA 411  3 
Scientific Inquiry Course with Lab  4  MA Approved Elective  3 
Creative Arts Course  3  Humans and Their Societies  3 
General Elective  3  General Elecvtive  4 
16  16  
Senior  
First Term  Hours  Second Term  Hours 
MA 311  3  EHS 425  6 
MA 472  3  EHS 426  1 
EHS 327  3  General Elective  3 
City as Classroom Course  3  
General Electives  3  
15  10  
Total credit hours: 120121 
The above schedule assumes the student is in UABTeach and is pursuing middle school certification. If not, EHS courses should be replaced by courses fulfilling requirements for a minor course of study.
1: Allowable course Combinations to meet requirements: One of the following:

MA 168 and MA 268

MA 160 and (MA 125 or MA 225)

(Ma 125 or MA 225) and (MA 126 or MA 226)
Proposed Program of Study for a Major in Mathematics with a Fast Track Plan
Freshman  

First Term  Hours  Second Term  Hours  Summer Term  Hours 
MA 125 or 225  4  MA 126 or 226  4  MA 361  3 
MA 298  1  MA 298  1  Blazer Core Requirement  3 
MA 490  1  MA 490  1  Blazer Core Requirement  4 
EH 101  3  EH 102  3  
Blazer Core Requirement  3  Blazer Core Requirement  3  
CAS 112 or EHS 125  1  HY 102  3  
HY 101  3  
16  15  10  
Sophomore  
First Term  Hours  Second Term  Hours  Summer Term  Hours 
MA 227  4  MA 252 (Honors)  3  MA 444  3 
MA 260 (Honors)  3  CS 203  4  CS 250  3 
MA 398  1  MA 398  1  General Elective  3 
MA 490  1  MA 490  1  
CS 103  4  General Elective  3  
Blazer Core Requirement  3  Blazer Core Requirement  3  
16  15  9  
Junior  
First Term  Hours  Second Term  Hours  Summer Term  Hours 
MA 440  3  MA 441  3  MA 545  3 
MA 485  3  MA 486  3  MA 588  3 
MA 498  1  MA 498  1  General Elective  3 
MA 490  1  MA 490  1  
CS 303  3  CS 330  3  
Blazer Core Course  3  General Elective  2  
General Elective  3  Blazer Core Requirement  3  
17  16  9  
Senior  
First Term  Hours  Second Term  Hours  Summer Term  Hours 
MA 534  3  MA 535  3  MA 642  3 
MA 5XX/6XX  3  MA 5XX/6XX  6  MA 5XX/6XX  6 
General Elective  3  
9  9  9  
Total credit hours: 150 
Classes taken in the FastTrack senior year depend on future career goals. Students should consult with the masters program director to select courses which are appropriate. Note: Students with more advanced placement credit can start in sophomore year. Please consult with the FastTrack program director for alternative tracks
Minor in Mathematics
Requirements  Hours  

Required Mathematics Courses  
MA 125  Calculus I ^{1}  4 
or MA 225  Calculus I  Honors  
MA 126  Calculus II  4 
or MA 226  Calculus II  Honors  
MA 227  Calculus III  4 
Mathematics Electives  
Select nine hours from Mathematics courses numbered 200 or above. ^{2}  9  
Total Hours  21 
^{1}  MA 125 or MA 225 Calculus I may also satisfy the Core Curriculum Area III: Math requirement; check the Core Curriculum for your particular major. 
^{2}  At least 6 semester hours of which must have a calculus (MA 125) prerequisite. MA 411 and MA 480 do not count toward the minor. 
GPA & Residency Requirement
A minimum grade of C is required in all courses applied to the minor. A minimum of six semester hours with a calculus (MA 125) prerequisite must be completed at UAB.
Honors Program
The Mathematics Honors Program is designed for advanced, motivated students. Through a mentored research program format and seminars, research and communication skills are developed in preparation for a graduate or professional career.
The Mathematics Honors Program fosters a spirit of inquiry, independence, and initiative along with providing an overview of the relationships among the branches of mathematics studied. The student will have an early opportunity to tackle a mathematical research project while interacting oneonone with faculty members in a research setting. The mentoring, the approved seminars, and the oral presentation or poster should all contribute to the student’s development. Upon completion of the program, the student will graduate “With Honors in Mathematics.”
Acceptance into the Mathematics Honors Program requires the student:
 to be a mathematics major in the traditional track;
 to have earned a 3.5 GPA in mathematics courses attempted;
 to have earned a 3.0 GPA overall;
 to have arranged with one or more faculty mentors to work on undergraduate research projects for six semester hours distributed over two or more terms; and
 to have filled out and submitted the Mathematics Honors Program application form to the Undergraduate Program Director.
Major requirements for the Mathematics Honors Program:
 to be a mathematics major in the traditional track;
 to complete an additional 9 hours of approved seminar (3 hours) and research (6 hours);
 to have earned a 3.5 GPA in mathematics courses and a 3.0 GPA overall; and
 to present an oral or poster presentation on mathematics in an academic setting
Suggested Curriculum for the Honors Program:
Freshman  

First Term  Hours  Second Term  Hours 
MA 125 or 225  4  MA 126 or 226  4 
EH 101  3  EH 102  3 
HY 101  3  HY 102  3 
ARH 101  3  CS 103  4 
FYE/FLC Course (credit hours may vary)  2  PHL 115  3 
15  17  
Sophomore  
First Term  Hours  Second Term  Hours 
MA 227  4  MA 252  3 
MA 298  1  MA 361  3 
MA 434  3  MA 298  1 
EC 210  3  PH 221  4 
Minor Course  3  EC 211  3 
14  14  
Junior  
First Term  Hours  Second Term  Hours 
MA 398  1  MA 441  3 
MA 440  3  MA Elective  3 
MA 490  1  MA 398  1 
PH 222  4  MA 490  1 
MA Elective  3  CMST 101  3 
CS 203  4  CS 303  3 
16  14  
Senior  
First Term  Hours  Second Term  Hours 
MA 490  1  MA Sequence  3 
MA sequence  3  MA 490  1 
MA 498  1  MA 498  1 
CS 330  3  General Electives  7 
General Electives  7  
15  12  
Total credit hours: 117 
Courses
MA 094. Basic Mathematics. 3 Hours.
Whole numbers, fractions, decimals, ratios and proportions, percentages, integers, basic geometry, and basic algebra including linear equations and applications. Designed to prepare students for MA 110, Finite Mathematics. Students preparing to take MA 102 should take MA 098. Attendance at the first meeting is mandatory. MA 094 section QL is an online version of MA 094 intended primarily for students who have job conflicts or live a long distance from the campus. There are no campus based meetings with the online class. However, students in the online version of MA 094 are required to interact with peers and the instructor through an online format and should be able to work independently and be motivated selfstarters who are confident in their ability to master mathematics. Noncredit; does not contribute to any degree requirements. 0.000 Credit Hours.
MA 094L. Basic Mathematics Lab. 2 Hours.
This course is a 2 credit hours corequisite lab designed to supplement the introduction to ﬁnite mathematics course MA 108. The lab provides detailed and comprehensive review of whole numbers, fractions, decimals, ratios and proportions, percentages, integers, basic geometry, and basic algebra including linear equations and applications. The emphasis is on handson, individualized guidance for mastering the above concepts as well as problem solving and examples of applications in the topics discussed and presented in MA 108.
MA 098. Basic Algebra. 3 Hours.
Arithmetic of integers, rational numbers, real numbers, exponents, polynomial algebra, factoring, rational functions, linear and quadratic equations, elementary geometry, verbal problems. Designed to prepare students for college level math courses. Attendance at the first meeting is mandatory. MA 098 section QL is an online version of MA 098 and is intended primarily for students who have job conflicts or live a long distance from the campus. There are no campus based meetings with the online class. However, students in the online version of Ma098 are required to interact with peers and the instructor through an online format and should be able to work independently and be motivated selfstarters who are confident in their ability to master mathematics. Noncredit; does not contribute to any degree requirements. 0.000 Credit Hours.
MA 102. Intermediate Algebra. 3 Hours.
Absolute values, Cartesian coordinates, graphs of linear equations, concept of a function, linear systems, algebra of polynomials, factoring of polynomials, algebra of rational expressions, literal equations, word problems involving linear, rational and quadratic models, integer and rational exponents, radical expressions, rational, radical and quadratic equations, complex numbers. 3 hours of mandatory class and lab meetings per week. Quantitative Literacy is a significant component of this course. MA 102 section QL is an online version of MA 102 and is intended primarily for students who have job conflicts or live a long distance from the campus. There are no campus based meetings with the online class. However, students in the online version of MA 102 are required to interact with peers and the instructor through an online format and should be able to work independently and be motivated selfstarters who are confident in their ability to master mathematics.
Prerequisites: MA 098 [Min Grade: C] or MPL 30 or EMA E
MA 105. PreCalculus Algebra. 3 Hours.
Functions from algebraic, geometric (graphical), and numerical points of view, including polynomial, rational, logarithmic, and exponential functions; inverse functions; systems of equations and inequalities; quadratic and rational inequalities; complex and real roots of polynomials; applications and modeling, both scientific and business. Supports development of quantitative literacy. May not be enrolled in Undergraduate Certificate. Quantitative Literacy is a significant component of this course. This course meets Blazer Core Quantitative Literacy.
Prerequisites: MA 102 [Min Grade: C] or MPL 46 or EMA E
MA 106. PreCalculus Trigonometry. 3 Hours.
Trigonometric functions (circular functions) and their inverses, graphs, and properties; right triangle trigonometry and applications; analytical trigonometry, trigonometric identities and equations; polar coordinates; complex numbers; laws of sines and cosines; conic sections. Supports development of quantitative literacy. Quantitative Literacy is a significant component of this course. This course meets Blazer Core Quantitative Literacy.
Prerequisites: MA 105 [Min Grade: C] or MPL 61 or EMA E
MA 107. PreCalculus Algebra and Trigonometry. 4 Hours.
A onesemester combination of MA 105 PreCalculus Algebra and MA 106 PreCalculus Trigonometry, this course covers the basics of many types of functions including polynomial, rational, exponential, logarithmic, inverse, trigonometric and more. Analysis of graphs, modeling, and applications of functions in the modern world will be covered. This course provides a quick review of the algebra and trigonometry needed to be successful in Calculus, as well as promotes realworld problemsolving skills to serve as a Blazer Core Quantitative Literacy course.
Prerequisites: MA 102 [Min Grade: B] or MA 105 [Min Grade: C] or MPL 65
MA 108. Mathematics of Social Choice. 3 Hours.
For most people, the value of mathematics lies in applications. On the one hand, the operation of our society is based upon a great deal of technical mathematics that is mastered by a minority of the population. On the other hand, there are many applications of mathematics, in the form of whole number and rational arithmetic, and display and evaluation of data, that require only an understanding and computational familiarity with elementary mathematics. This course takes the later point of view. This course meets Blazer Core Quantitative Literacy.
MA 110. Finite Mathematics. 3 Hours.
An overview of topics of finite mathematics and applications of mathematics for the liberal arts student. Topics include counting, permutations, combinations, basic probability, conditional probability, descriptive statistics, binomial and normal distributions, statistical inference, and additional selected topics. Students construct models of problem situations, translate verbal descriptions into mathematical form, interpret and create schematic representations of mathematical relationships, use quantitative evidence as a basis for reasoning, argument, and drawing conclusions, and communicate their results to an audience appropriately. May not be enrolled in Undergraduate Certificate. Quantitative Literacy is a significant component of this course. This course meets Blazer Core Quantitative Literacy.
Prerequisites: MA 094 [Min Grade: C] or MA 098 [Min Grade: C] or MA 102 [Min Grade: C] or MPL 30 or EMA E
MA 110L. Finite Mathematics Laboratory. 0 Hours.
This course is a zero credit hours corequisite lab designed to supplement lectures. This course provides a handson, individualized overview of finite mathematics and applications of mathematics for the liberal arts student. Topics include counting, permutations, combinations, basic probability, conditional probability, descriptive statistics, binomial and normal distributions, statistical inference, and additional selected topics. Students construct models of problem situations, translate verbal descriptions into mathematical form, interpret and create schematic representations of mathematical relationships, use quantitative evidence as a basis for reasoning, argument, and drawing conclusions, and communicate their results to an audience appropriately. This course is corequisite with MA 110. Quantitative Literacy is a significant component of this course.
MA 118. Leadership and the Mathematics of Rational DecisionMaking. 3 Hours.
The purpose of this course is twofold: 2 • To provide current and future leaders with a mathematical framework to support ethical decisionmaking, particularly regarding voting methods and the allocation of resources. • To give a brief introduction to some of the more technical aspects at play in our world, enough so that our future leaders have an idea of the mathematics that occur behind the scenes. As a First Year Experience (FYE) course, MA 118 engages students in the process of finding a leadership role within UAB or the greater Birmingham area, as well as analyzing the decisions which our current leaders make, judging if those decisions are rational, or what would make them more rational. To that effect, students will learn to identify the mathematical principals at play within a major decision, and predict the possible longterm impacts of these decisions. As a mathematics course, MA 118 demonstrates that much of the value of mathematics for most citizens lies in its applications. There are many common applications of mathematics, in the form of whole number arithmetic or the display and evaluation of data, which require only an understanding and computational familiarity with elementary mathematics. On the one hand, the operation of our society is based upon a great deal of technical mathematics that is mastered by a minority of the population. Responsible and ethical leaders should have at least a passing familiarity with these technicalities, which they will acquire in this course.
MA 120. Introduction to Symbolic Logic. 3 Hours.
Modern theory of deductive inference. Emphasis on recognizing valid forms of reasoning. Truthfunction theory and some concepts of onevariable quantification theory. May not be used to satisfy Core Curriculum requirement in mathematics.
MA 125. Calculus I. 4 Hours.
Limit of a function; continuity, derivatives of algebraic, trigonometric exponential, and logarithmic functions, application of derivative to extremal problems, optimization, and graphing; Newton method; the definite integral and its application to area problems; fundamental theorem of integral calculus, average value, and substitution rule. This course meets the Blazer Core Quantitative Literacy requirement.
Prerequisites: MA 106 [Min Grade: C] or MA 107 [Min Grade: C] or MPL 76 or EMA E or A02 29 or SAT2 680
MA 125L. Calculus I Lab. 0 Hours.
This course is a zero credit hours corequisite lab designed to supplement the lectures. The emphasis will be on problem solving and examples of applications of the concepts discussed and presented during lectures. The laboratory will also use computer programs for problemsolving, visualization, plotting and simulation. The topics covered are: Limit of a function; continuity, derivatives of algebraic, trigonometric, exponential, and logarithmic functions, application of derivative to extremal problems, optimization, and graphing; Newton method; the deﬁnite integral and its application to area problems; fundamental theorem of integral calculus, average value, and substitution rule. Quantitative literacy is a significant component of this course.
MA 126. Calculus II. 4 Hours.
Techniques of integration; applications in integration such as volume, arc length and work; infinite series, Taylor series; polar coordinates; parametric equations; plane and space vectors; lines and planes in space. This course meets Blazer Core Curriculum Quantitative Literacy.
Prerequisites: MA 125 [Min Grade: C] or MA 225 [Min Grade: C]
MA 160. Linear Algebra: Data and Models. 4 Hours.
The course teaches linear algebra mostly from a process point of view with multiple examples to engender conceptual understanding through noting commonalities of the basic structures of ﬁnitedimensional Euclidean spaces. Beginning with two and three dimensional Euclidean spaces where algebraic and geometric viewpoints can be seen to correspond, we extend processing and understanding to higher dimensional spaces through software. The lab will run prepackaged computer programs for determining some basic structures from others. Throughout the course development, applications in areas such as analysis of data sets, biological models, genetics, imaging science, page ranking, optimization, ﬁnancial models, cryptography, and more will be presented. No background in matrix operations or computer programming is required.
Prerequisites: MA 105 [Min Grade: C] or MPL 70
MA 168. Mathematics of Biological Systems I. 4 Hours.
The course teaches mathematical modeling as a tool for understanding the dynamics of biological systems. We will begin with the fundamental concepts of singlevariable calculus, and then develop single and multivariable differential equation models of dynamical processes in ecology, physiology and other applications in which quantities change with time. The laboratory will run prepackaged computer programs for problemsolving, visualization, plotting and simulation. Basic programming concepts like program ﬂow control and data structures will be introduced. No background in computer programming is required. This course meets Blazer Core Quantitative Literacy.
Prerequisites: MA 106 [Min Grade: C] or MA 107 [Min Grade: C] or MPL 70 or A02 29 or SAT2 680
MA 180. Introduction to Statistics. 3 Hours.
Descriptive and inferential statistics, probability distributions, estimation, hypothesis testing, Oneway ANOVA, and linear regression. Quantitative Literacy is a significant component of this course. This course meets Blazer Core Quantitative Literacy.
Prerequisites: MA 102 [Min Grade: C] or MA 105 [Min Grade: C] or MPL 46 or MA 106 [Min Grade: C] or MA 107 [Min Grade: C] or MA 110 [Min Grade: C] or MA 125 [Min Grade: C] or MA 225 [Min Grade: C] or MA 168 [Min Grade: C]
MA 189. Data Dive Into Birmingham. 3 Hours.
This course provides an introduction to statistical methods for data analysis and places an emphasis on reallife applications more so than traditional mathematics courses. Featured in this course are a variety of applications from companies and businesses, as well as governmental organizations, in the city of Birmingham and the surrounding area. Alumni, local industry researchers, and faculty in other departments/colleges at UAB will be invited to present an illustration of how statistics and mathematics are used in their particular jobs and fields. The presentation form will either be in person, online, or via a prerecorded video. Students will be asked to replicate the analysis procedures of example cases on real datasets concerning the city of Birmingham and the region using R. The focus will be on learning new techniques and discussing the details from the practical local cases. This course will cover critical concepts, techniques, and tools in statistics and applied mathematics, as well as ethical discussions and privacy and security topics related to data. This course is a part of the Blazer Core City as Classroom curriculum with flags in Collaborative Assignments and Projects, as well as Service Learning/CommunityBased Learning.
MA 224. Intermediate Symbolic Logic. 3 Hours.
Full development of quantification theory, including identity and definite description, and soundness and completeness proofs. Skill in formal proof emphasized, as well as ability to express arguments from natural language in artificial language.
Prerequisites: MA 120 [Min Grade: C] or PHL 220 [Min Grade: C]
MA 225. Calculus I  Honors. 4 Hours.
Limit of a function; continuity, derivatives of algebraic, trigonometric exponential, and logarithmic functions, application of derivative to extremal problems, optimization, and graphing; Newton method; the definite integral and its application to area problems; fundamental theorem of integral calculus, average value, and substitution rule. Students will be required to display an indepth understanding of these topics through a complete justification of their work on tests and through participation in class projects. This course meets Blazer Core Curriculum Quantitative Literacy.
Prerequisites: MA 106 [Min Grade: C] or MA 107 [Min Grade: C] or MPL 76 or EMA E
MA 226. Calculus II  Honors. 4 Hours.
Techniques of integration; applications in integration such as volume, arc length and work; infinite series, Taylor series; polar coordinates; parametric equations; plane and space vectors; lines and planes in space. This course meets Blazer Core Curriculum Quantitative Literacy.
Prerequisites: MA 125 [Min Grade: C] or MA 225 [Min Grade: C]
MA 227. Calculus III. 4 Hours.
Vector functions, functions of two or more variables, partial derivatives, quadric surfaces, multiple integration and vector calculus, including Greens Theorem, curl and divergence, surface integrals, and Gauss' and Stokes' Theorem.
Prerequisites: MA 126 [Min Grade: C] or MA 226 [Min Grade: C]
MA 252. Introduction to Differential Equations. 3 Hours.
First order differential equations (separable, linear, exact, and additional nonlinear examples using MAPLE), modeling with first order DE's, examples of systems of first order DE's, theory of higher order linear DE's (homogeneous and nonhomogeneous, superposition of solutions, linear independence and general solutions, initial and boundary value problems), solution of constant coefficient homogeneous linear equations, variation of parameters and Green's functions with complicated cases done using MAPLE. Modeling projects in the course will emphasize the use of MAPLE to do the heavy lifting. Quantitative Literacy and Writing are significant components of this course. This course meets Blazer Core Quantitative Literacy.
Prerequisites: MA 126 [Min Grade: C] or MA 226 [Min Grade: C]
MA 260. Introduction to Linear Algebra. 3 Hours.
Linear equations and matrices; real vector spaces, basis, diagonalization, linear transformations; determinants, eigenvalues, and eigenvectors; inner product spaces, matrix diagonalization; applications and selected additional topics. This course meets Blazer Core Quantitative Literacy with a flag in Collaborative Assignments.
Prerequisites: MA 125 [Min Grade: C] or MA 225 [Min Grade: C] or MA 168 [Min Grade: C]
MA 265. Math Tools for Engineering Problem Solving. 4 Hours.
An applied mathematics course designed to utilize the terminology and problemsolving approaches inherent to engineering, while completing the mathematical preparation of most engineering students. This course includes elements of MA 227 and MA 252.
Prerequisites: MA 126 [Min Grade: C] or MA 226 [Min Grade: C]
MA 268. Mathematics of Biological Systems II. 3 Hours.
The course MA268 is multidisciplinary in nature and targets undergraduate students in the life sciences, particularly biology, and mathematics. We review the biology of a variety of problems that arise in nature and medicine, and build upon the calculus ideas already developed by the students, adding additional mathematical tools as needed to facilitate the solution of these problems. The new mathematics includes introductory linear algebra (matrices, eigenvalues, eigenvectors) introductory multivariable calculus (linear approximation, optimization) and an introduction to the dynamics of linear and nonlinear systems of diﬀerential equations and mathematical chaos in biological systems. Biological topics may include single species and interacting population dynamics, modeling infectious and dynamic diseases, regulation of cell function, and biological oscillators. There will also be discussions of current topics of interest such as cardiac arrhythmias and neural action potentials, HIV and AIDS, and control of the mitotic clock. For data visualization and computational tasks, we use the publicdomain Pythonbased software SageMath. No prior computational expertise is assumed.
Prerequisites: MA 168 [Min Grade: C] or MA 125 [Min Grade: C] or MA 225 [Min Grade: C]
MA 298. Research in Mathematics. 112 Hour.
This course covers special topics in mathematics and the applications of mathematics. May be repeated for credit when topics vary. Prerequisites vary with topics. Freshman or sophomore standing recommended. Prerequisites: Permission of instructor.
MA 311. History of Mathematics I. 3,4 Hours.
Development of mathematical principles and ideas from an historical viewpoint, and their cultural, educational and social significance.
Prerequisites: MA 125 [Min Grade: C] or MA 225 [Min Grade: C] or MA 168 [Min Grade: C]
MA 312. History of Mathematics II. 3 Hours.
Development of mathematical principles and ideas from an historical viewpoint, and their cultural, educational and social significance.
Prerequisites: MA 311 [Min Grade: C]
MA 313. Patterns, Functions and Algebraic Reasoning. 3 Hours.
Problem solving experiences, inductive and deductive reasoning, patterns and functions, some concepts and applications of geometry for elementary and middle school teachers. Topics include linear and quadratic relations and functions and some cubic and exponential functions. Number sense with the rational number system including fractions, decimals, and percents will be developed in problem contexts. An emphasis will be on developing algebraic thinking and reasoning.
Prerequisites: MA 102 [Min Grade: C] or MA 105 [Min Grade: C] or MA 106 [Min Grade: C] or MA 107 [Min Grade: C] or MA 110 [Min Grade: C] or MA 125 [Min Grade: C] or MA 160 [Min Grade: C] or MA 168 [Min Grade: C]
MA 314. Geometric and Proportional Reasoning. 3 Hours.
Problem solving experiences, inductive and deductive reasoning, concepts and applications of geometry and proportional reasoning. Topics include analysis of one, two and threedimensional features of real objects, ratio and proportionally, similarity, and congruence, linear, area, and volume measurement, and the development of mathematically convincing arguments. An emphasis will be on developing geometric and proportional thinking and reasoning.
Prerequisites: MA 313 [Min Grade: C] or MA 168 [Min Grade: C]
MA 315. Probabilistic and Statistical Reasoning. 3 Hours.
Descriptive and inferential statistics, probability, estimation, hypothesis testing. Reasoning with probability and statistics is emphasized.
Prerequisites: MA 313 [Min Grade: C]
MA 316. Numerical Reasoning. 3 Hours.
Develop an understanding of number and improve numerical reasoning skills specifically with regard to place value, number relationship that build fluency with basis facts, and computational proficiency; developing a deep understanding of numerous diverse computational algorithms; mathematical models to represent fractions, decimals and percents, equivalencies and operations with fractions, decimals and percents; number theory including order of operations, counting as a big idea, properties of number, primes and composites, perfect, abundant and significant numbers, and figurate numbers; inductive and deductive reasoning with number.
Prerequisites: MA 313 [Min Grade: C] or MA 168 [Min Grade: C]
MA 317. Extending Algebraic Reasoning. 3 Hours.
Extension of algebraic and functional reasoning to polynomials, rational, exponential, and logarithmic functions; problemsolving involving transfer among representations (equation, graph, table); proof via symbolic reasoning, contradiction, and algorithm; interpretation of key points on graphs (intercepts, slope, extrema); development of facility and efficiency in manipulating symbolic representations with understanding; appropriate use of technology and approximate versus exact solutions; functions as models.
Prerequisites: MA 313 [Min Grade: C]
MA 360. Scientific Programming. 3 Hours.
Programming and mathematical problem solving using Matlab, Python, FORTRAN or C++. Emphasizes the systematic development of algorithms and numerical methods. Topics include computers, floating point arithmetic, iteration, GNU/Linux operating system, functions, arrays, Matlab graphics, image processing, robotics, solving linear systems and differential equation arising from practical situations, use of debuggers and other debugging techniques, and profiling; use of callable subroutine packages like LAPACK and differential equation routines; parallel programming. Assignments and projects are designed to give the students a computational sense through complexity, dimension, inexact arithmetic, randomness, simulation and the role of approximation.
Prerequisites: MA 126 [Min Grade: C] or MA 226 [Min Grade: C]
MA 361. Mathematical Modeling. 3 Hours.
Mathematical modeling using computer software, including spreadsheets, systems dynamics software, and computer algebra systems; connections to calculus and functions are emphasized. Students make presentations to the class; justification of mathematical claims and quality of student presentations are assessed. Quantitative Literacy is a significant component of this course.
Prerequisites: MA 125 [Min Grade: C] or MA 225 [Min Grade: C] or MA 168 [Min Grade: C]
MA 398. Research in Mathematics. 112 Hour.
This course covers special topics in mathematics and the applications of mathematics. May be repeated for credit when topics vary. Junior standing recommended. Permission of instructor required.
MA 411. Integrating Mathematical Ideas. 3 Hours.
This course will integrate ideas from algebra, geometry, probability, and statistics. Emphasis will be on using functions as mathematical models, becoming fluent with multiple representations of functions, and choosing the most appropriate representations for solving a specific problem. Students will be expected to communicate mathematics verbally and in writing through small group, whole group, and individual interactions.
Prerequisites: (MA 125 [Min Grade: C] or MA 225 [Min Grade: C]) and MA 314 [Min Grade: C](Can be taken Concurrently) or MA 316 [Min Grade: C]) or MA 168 [Min Grade: C]
MA 418. Statistics for Teachers. 3 Hours.
Descriptive and inferential statistics, probability distributions, estimation, hypotheses testing, regression. Writing assignment on a project drawing from the above topics. Quantitative Literacy is a significant component of this course.
Prerequisites: MA 102 [Min Grade: C] or MPL 46 or MA 105 [Min Grade: C] or MA 106 [Min Grade: C] or MA 107 [Min Grade: C] or MA 110 [Min Grade: C] or MA 125 [Min Grade: C] or MA 225 [Min Grade: C]
MA 419. Special Topics. 14 Hour.
Topics vary; may be repeated for credit.
Prerequisites: MA 125 [Min Grade: C] or MA 225 [Min Grade: C] or MA 168 [Min Grade: C]
MA 434. Algebra I: Linear. 3 Hours.
Abstract vector spaces. Linear transformations: ranges and null spaces; matrix representation; invertibility and isomorphism; the change of coordinate matrix; transformation of a matrix of a linear map under a change of basis. Elementary matrix operations and elementary matrices; column and row spaces of a matrix; rank. Theory of systems of linear equations. Inner product spaces: inner products and norms; orthogonal bases; GramSchmidt orthogonalization process and orthogonal complements; selfadjoint operators; spectral theorem. Generalized eigenvectors; Jordan form. Applications.
Prerequisites: MA 260 [Min Grade: C]
MA 435. Algebra II: Modern. 3 Hours.
Rings, including the rings of integers and of polynomials, integral domains, fields and groups. Homomorphism, isomorphism. As time permits, Galois theory, semigroups, quotient groups, models, or other areas of algebra may be included. Students present proofs from a list of preassigned theorems to the class. Logical correctness and proper mathematical proofwriting style are assessed.
Prerequisites: MA 434 [Min Grade: C] or MA 260 [Min Grade: C]
MA 440. Advanced Calculus I. 3 Hours.
Real numbers, sequences and series, continuity, differential and integral calculus, exponential and logarithm functions, sine and cosine functions. Students present proofs from a list of preassigned theorems to the class. Written versions of the proofs are posted for easy access in subsequent proofs. Logical correctness and proper mathematical proofwriting style are assessed. Writing and Quantitative Literacy are significant components of the course.
Prerequisites: MA 227 [Min Grade: C]
MA 441. Advanced Calculus II. 3 Hours.
Real numbers, sequences and series, continuity, differential and integral calculus, exponential and logarithm functions, sine and cosine functions. Students present proofs from a list of preassigned theorems to the class. Written versions of the proofs are posted for easy access in subsequent proofs. Logical correctness and proper mathematical proofwriting style are assessed. Writing and Quantitative Literacy are significant components of the course.
Prerequisites: MA 440 [Min Grade: C]
MA 444. Vector Analysis. 3 Hours.
Review and application of multiple integrals; Jacobians and change of variables in multiple integrals; line and surface integrals; Green, Gauss, and Stokes theorems, with applications to physical sciences and computation in spherical and cylindrical coordinates.
Prerequisites: MA 227 [Min Grade: C]
MA 445. Complex Analysis. 3 Hours.
Analytic functions, complex integration and Cauchys theorem, Taylor and Laurent series, calculus of residues and applications, conformal mappings.
Prerequisites: MA 227 [Min Grade: C]
MA 453. Fourier Analysis. 3 Hours.
Fourier series, including odd/even functions expansions, complex power series, generalized Fourier series. Convergence, applications to partial diﬀerential equations. Fourier transform: basic properties, inversion of the FT, windowing, relation to the Laplace transform. Applications to partial diﬀerential equations. Wavelets and signal processing basic functions, transforming wavelets, short time Fourier transform.
Prerequisites: MA 252 [Min Grade: C]
MA 454. Intermediate Differential Equations. 3 Hours.
Topics from among Frobenius series solutions, SturmLiouville systems, nonlinear equations, and stability theory.
Prerequisites: MA 252 [Min Grade: C]
MA 455. Partial Differential Equations I. 3 Hours.
Classification of second order partial differential equations; background on eigenfunction expansions and Fourier series; integrals and transforms; solutions of the wave equations, reflection of waves; solution of the heat equations in bounded and unbounded media; Laplaces equation, Dirichlet and Neumann problems. Written project reports required. Quantitative Literacy and Writing are significant components of this course.
Prerequisites: MA 252 [Min Grade: C]
MA 456. Partial Differential Equations II. 3 Hours.
Classification of second order partial differential equations; background on eigenfunction expansions and Fourier series; integrals and transforms; solution of the wave equations, reflection of waves; solution of the heat equation in bounded and unbounded media; Laplace's equation, Dirichlet and Neumann problems.
Prerequisites: MA 455 [Min Grade: C]
MA 460. Mathematical Game Theory. 3 Hours.
This course is an introduction to mathematical game theory for those that have good understanding of calculus. Unlike calculus and optimization, where one learns how to maximize functions when the payoff depends only on your own choices, game theory deals with situations in which payoff depends not only on your own choices but also on the choices of others. Like optimization, game theory is deﬁned by the problems it deals with, not by the mathematical techniques that are used to solve them. These problems come from diverse ﬁelds ranging from evolutionary biology and animal behavior to political science and economics. Examples are drawn from scenarios such as traffic accidents, crimecontrol strategies, climate change negotiations etc. The course provides substantial treatment of evolutionary game theory, where strategies are not chosen through rational analysis, but emerge by virtue of being successful. This part of game theory requires understanding of calculus and some differential equations and is the most relevant to biology. It also explains how human societies evolve. Problem sets to help develop the ability necessary to master game theory tools will be discussed and assigned at the end of each chapter. Quantitative literacy is a significant component of this course.
Prerequisites: MA 125 [Min Grade: C] or MA 225 [Min Grade: C] or MA 168 [Min Grade: C]
MA 461. Modeling with Partial Differential Equations. 3 Hours.
Practical examples of partial differential equations; derivation of partial differential equations from physical laws; introduction to COMSOL Multiphysics using practical examples; specialized modeling projects selected from topics such as groundwater modeling, scattering of waves, medical and industrial imaging, traffic flows, continuum mechanics and deformation of solids, Fluid mechanics including the class boat race, financial derivative modeling, and acoustic and electromagnetic wave applications. Written project reports required for homework assignments in addition to online quizzes. Quantitative Literacy and Writing are significant components of this course.
Prerequisites: MA 252 [Min Grade: C] or MA 227 [Min Grade: C]
MA 462. Intro to Stochastic Differential Equations. 3 Hours.
Stochastic differential equations arise when random effects are introduced into the modeling of physical systems. Topics include Brownian motion and Wiener processes, stochastic integrals and the Ito calculus, stochastic differential equations, and applications to financial modeling, including option pricing.
Prerequisites: MA 485 [Min Grade: C]
MA 466. Introduction to Optimization. 3 Hours.
Optimization is important in many decision making problems in various areas like engineering, economics and machine learning. Optimization theory deals with finding the best solution(s) or variables of a given objective function. Recently, the area of optimization has received much attention due to the development of highly efficient computational methods for data analysis. The scope of this course covers linear algebra, unconstrained optimization, linear programming, and nonlinear constrained optimization. The topics include linear algebra, linear program, duality, network flows, simplex method, nonsimplex method, gradient and conjugate methods, neural network, genetic algorithm and convex optimization. The course will also introduce optimization algorithms and codes via python and matlab.
Prerequisites: MA 126 [Min Grade: C] or MA 226 [Min Grade: C]
MA 467. Gas Dynamics. 3 Hours.
Euler's equations for inviscid flows, rotation and vorticity, NavierStokes equations for viscous flows, hyperbolic equations and characteristics, rarefaction waves, shock waves and entropy conditions, the Riemann problem for onedimensional gas flows, numerical schemes.
Prerequisites: MA 252 [Min Grade: C] and MA 360 [Min Grade: C]
MA 468. Numerical Analysis I. 3 Hours.
Sources of error and conditioning. Solution of algebraic equations in one variable: Bisection method, Fixed point iteration method, Newton’s method and its variants, and their convergence. Approximation and interpolation: Monomial and Lagrange interpolations, Newton’s divided difference form, Hermite interpolation, and Cubic spline. Numerical differentiation: Deriving formulas using Taylor series, Truncation error, and Richardson extrapolation. Numerical integration: Open and closed NewtonCotes formulas, Composite numerical integration, Romberg integration, and Gaussian quadrature. Solution of Ordinary Differential Equations (ODEs): Initial value ODEs, Euler’s method, RungeKutta methods, Multistep methods, and Boundary value ODEs. Practice on the computer.
Prerequisites: MA 227 [Min Grade: C] or MA 252 [Min Grade: C]
MA 469. Numerical Analysis II. 3 Hours.
Direct methods for linear systems: Gaussian elimination and back substitution, Pivoting strategies, Matrix factorization: LU and Cholesky decomposition, and Estimating errors and the condition number. Iterative solution of systems of nonlinear equations: Fixed points for functions of several variables, Newton’s method, QuasiNewton methods, Steepest Descent method. Evaluation of eigenvalues and eigenvectors of matrices: Existence and uniqueness, Orthogonal matrices and similarity transformations, Power method and variants, Generalized eigenvalue problems, Householder’s Method, QR algorithm, and Singular Value Decomposition (SVD). Practice on the computer.
Prerequisites: MA 468 [Min Grade: C]
MA 470. Differential Geometry. 3 Hours.
Theory of curves and surfaces: Frenet formulas for curve, first and second fundamental forms of surface; global theory; abstract surfaces, manifolds, Riemannian geometry.
Prerequisites: MA 126 [Min Grade: C] or MA 226 [Min Grade: C]
MA 472. Geometry I. 3 Hours.
The axiomatic method; Euclidean geometry including Euclidean constructions, basic analytic geometry, transformational geometry, and Klein's Erlangen Program. Students present proofs from a list of preassigned theorems to the class. Logical correctness and proper mathematical proofwriting style are assessed.
Prerequisites: MA 125 [Min Grade: C] or MA 225 [Min Grade: C] or MA 168 [Min Grade: C]
MA 473. Geometry II. 3 Hours.
Analytical geometry, Birkhoff s axioms, and the complex plane; structure and representation of Euclidean isometries; plane symmetries; nonEuclidean(hyperbolic) geometry and nonEuclidean transformations; fractal geometry; algorithmic geometry. Course integrates intuition/exploration and proof/ explanation.
Prerequisites: MA 472 [Min Grade: C] and (MA 260 [Min Grade: C] or MA 434 [Min Grade: C])
MA 474. Introduction to Topology I. 3 Hours.
Essence and consequences of notion of continuous function developed. Topics include metric spaces, topological spaces, compactness, connectedness, and separation.
Prerequisites: MA 126 [Min Grade: C] or MA 226 [Min Grade: C]
MA 475. Introduction to Topology II. 3 Hours.
Essence and consequences of notion of continuous function developed. Topics include metric spaces, topological spaces, compactness, connectedness, and separation.
Prerequisites: MA 474 [Min Grade: C]
MA 480. Introduction to Statistics. 3 Hours.
Descriptive and inferential statistics, probability distributions, estimation, hypothesis testing. Recommended that two years of high school algebra or MA 102 has been completed before taking course. MA 480 does not count toward any math major or minor.
MA 484. Mathematical Finance. 3 Hours.
The notion of no arbitrage. Interest, compounding, bonds. Review of mean, variance, and covariance. Central limit theorem. Portfolio management: risk and return. Forwards and Futures. Putcall parity. Martingales and conditional expectation. The binomial model. Fundamental theorems of asset pricing. The CoxRossRubinstein formula. The BlackScholesMerton formula. Using computing programs such as Matlab and Python for more complex derivatives such as American put options.
Prerequisites: MA 125 [Min Grade: C] and MA 485 [Min Grade: C] or MA 168 [Min Grade: C]
MA 485. Probability. 3 Hours.
Combinatorics, probability spaces, combinatorics, conditional probabilities and independence, Bayes rule, discrete and continuous distributions, mean value and variance, random variables, joint distributions, correlation, Law of Large Numbers, Central Limit Theorem.
Prerequisites: MA 126 [Min Grade: C] or MA 226 [Min Grade: C]
MA 486. Mathematical Statistics. 3 Hours.
Sampling techniques and data analysis, Describing data distributions, Point estimation, Statistical inference, Confidence intervals, Tests for binomials, Tests for normals, Hypothesis testing, Twofactor analysis, GoodnessofFit test, Contingency tables.
Prerequisites: MA 485 [Min Grade: C]
MA 489. Statistical Techniques for Machine Learning and Big Data. 3 Hours.
Topics of statistical learning and how to implement these methods by using R/Python. The course will cover major statistical learning methods and concepts for both supervised and unsupervised learning, such as model assessment and selection; classification, clustering; and big data analysis.
Prerequisites: MA 486 [Min Grade: B]
MA 490. Mathematics Seminar. 13 Hour.
This course covers special topics in mathematics and the applications of mathematics. May be repeated for credit when topics vary. Prerequisites Permission of instructor.
MA 491. Special Topics in Mathematics. 13 Hour.
This course covers special topics in mathematics and the applications of mathematics. May be repeated for credit when topics vary. Prerequisites vary with topics.
MA 492. Special Topics in Mathematics. 13 Hour.
This course covers special topics in mathematics and the applications of mathematics. May be repeated for credit when topics vary. Prerequisites vary with topics.
MA 493. Special Topics in Mathematics. 13 Hour.
This course covers special topics in mathematics and the applications of mathematics. May be repeated for credit when topics vary. Prerequisites vary with topics.
MA 494. Special Topics in Mathematics. 16 Hour.
This course covers special topics in mathematics and the applications of mathematics. May be repeated for credit when topics vary. Prerequisites vary with topics.
MA 495. Special Topics in Mathematics. 16 Hour.
This course covers special topics in mathematics and the applications of mathematics. May be repeated for credit when topics vary. Prerequisites vary with topics.
MA 496. Special Topics in Mathematics. 112 Hour.
This course covers special topics in mathematics and the applications of mathematics. May be repeated for credit when topics vary. Prerequisites vary with topics.
MA 497. Research Methods in Mathematics. 13 Hour.
Through experience in designing and carrying out investigations, learn how scientists and mathematicians gain knowledge, evaluate scientific and mathematical claims when they conduct, and design and carry out investigations to answer new questions. Work is closely coordinated with the work of students from other content disciplines so that students see the similarity and differences of research methods in their own field as compared with those of science and mathematics inquiry as a whole. Enrollment in UABTeach is required.
Prerequisites: MA 125 [Min Grade: C] or MA 225 [Min Grade: C]
MA 498. Research in Mathematics. 112 Hour.
This course covers special topics in mathematics and the applications of mathematics. May be repeated for credit when topics vary. Prerequisites vary with topics. Senior standing recommended.
MA 499. Honors Research in Mathematics. 112 Hour.
Mentored research in mathematics leading to a written research report and a public presentation in the form of a talk or poster. Admission restricted to students admitted to Honors in Mathematics. Permission of instructor required.
Faculty
Blokh, Alexander, Professor of Mathematics, 1992, Ph.D. (Kharkov State), Dynamical Systems 
Dale, Louis, Professor Emeritus of Mathematics, 1973, B.A. (Miles), M.S. (Atlanta), Ph.D. (Alabama), Ring Theory 
FathallahShaykh, Hassan, Professor of Neurology; Mathematics; Integrative, Developmental and Cell Biology; Biomedical, Electrical, and Mechanical Engineering, 2008, M.D. (American Univ of Beirut), Ph.D. (Illinois at Chicago), Mathematical Biology, Systems biology of cancer, Dynamics of molecular networks, Biological rhythms 
Grujic, Zoran, Professor of Mathematics, 2023, Ph.D. (Indiana University), Nonlinear Partial Differential Equations, Mathematical Fluid Dynamics 
Karpeshina, Yulia, Professor of Mathematics, 1995, M.S., Ph.D. (Saint Petersburg, Russia), Partial Differential Equations and Mathematics Physics 
Knowles, Ian W., Professor of Mathematics, 1979, B.Sc. (Adelaide), M.Sc., Ph.D. (FlindersSouth Australia), Ordinary and Partial Differential Equations, Numerical Analysis 
Kravchuk, Elena, Assistant Professor of Mathematics, 2002, M.S. (Donetsk State – Ukraine), Ph.D. (NASU, Donetsk – Ukraine) 
Li, JunFang, Associate Professor of Mathematics, 2008, B.A. (Wuhan Univ., China), Ph.D. (Oklahoma), Geometric Analysis and Nonlinear Partial Differential Equations 
Li, Keren, Assistant Professor, 2022, B.A. (Nankai University, China), M.S. (Louisiana State), Ph. D. (Illinois  Chicago), Distributed machine learning; Genomic data analysis; Structural equation models; Generalized linear models; Variable selection 
Mayer, John C., Professor Emeritus of Mathematics, 1984, B.A. (RandolphMacon), M.A., Ph.D. (Florida), Topology, Continuum Theory, Dynamical Systems, Mathematics Education 
Muhammad Mohebujjaman, Assistant Professor of Mathematics, 2023, M.S. (Clemson University), Ph.D. (Clemson University) 
Navasca, Carmeliza, Associate Professor of Mathematics, 2012, B.A. (California  Berkeley), Ph.D. (California  Davis), Multilinear Algebra, Control Theory, Optimization, Data Mining 
Nkashama, Mubenga N., Professor of Mathematics, 1989, Ph.D. (Catholic University of Louvain, Belgium), Partial Differential Equations; Nonlinear Analysis; Continuous Dynamical Systems 
Oversteegen, Lex G., Professor of Mathematics, 1980, Kandidaat Doctorandus (Amsterdam), Ph.D. (Wayne State), Topology, Continuum Theory, Dynamical Systems 
O’Neil, Peter V., Professor Emeritus of Mathematics, 1978, B.S. (Fordham), M.S., Ph.D. (Rensselaer Polytechnic Institute), Graph Theory, Combinatorics 
Phillips, Stephanie, Instructor of Mathematics, 2022, B.S. Edu. (Jacksonville State University), M.A. (East Carolina University), Secondary Education Mathematics 
Phillips, Tricia, Assistant Professor of Mathematics, 2023, B.A. (Hartwick College), M.S., Ph.D. (Tennessee), Mathematical Biology 
Puchta, Tami, Instructor of Mathematics, 2015, Ed.S. (UAB), Math Education 
Saito, Yoshimi, Professor Emeritus of Mathematics, 1983, B.A., M.A., Ph.D. (Kyoto, Japan), Scattering Theory, Differential Equations 
Selinger, Nikita, Associate Professor of Mathematics, 2015, Ph.D. (Jacobs University, Bremen), Conformal Dynamics; Teichmüller Theory 
Shterenberg, Roman G., Professor of Mathematics, 2007, M.S., Ph.D. (St. Petersburg State Univ – Russia), Mathematical Physics, Spectral Theory, Inverse Problems, Partial Differential Equations, Nonlinear Partial Differential Equations 
Simányi, Nándor, Professor of Mathematics, 1999, M.S., Ph.D. (Rolánd Eötvös  Hungary), Dr.M.S. (Hungarian Academy of Sciences), Dynamical Systems, Ergodic Theory, Topology 
Stanislavova, Milena, Professor of Mathematics, 2021, M.S. (Sofia Univ, Bulgaria), 2000 Ph.D. (Missouri  Columbia), Partial Differential Equations, Dynamical Systems, Analysis 
Starr, Shannon, Associate Professor of Mathematics, 2012, B.A. (California  Berkeley), Ph.D. (California  Davis), Mathematical Physics and Probability 
Stefanov, Atanas, Professor of Mathematics, 2021, D.E.A. (University of ParisVI), M.S. (Sofia Univ, Bulgaria), D.E.A. (Univ of Paris  VI, France),Ph.D. (Missouri  Columbia),, Fourier Analysis, Partial Differential Equations 
Stocks, Douglas R., Associate Professor Emeritus of Mathematics, 1969, B.A., M.A., Ph.D. (Texas) 
Stolz, Günter, Professor of Mathematics, 1994, Ph.D. (Frankfurt, Germany), Spectral Theory, Mathematical Physics 
Weikard, Rudi, Professor of Mathematics, 1990, Ph.D. (Technical Univ of Braunschweig, Germany), Ordinary and Partial Differential Equations, Mathematical Physics 
Wickman, Lauren, Assistant Professor of Mathematics, 2022, B.A., M.S., Ph.D. (Florida), Topological Dynamics, Model Theory, and Continuum Theory 
Zeng, Yanni, Professor of Mathematics, 1997, B.S., M.S. (Zhongshan, China), Ph.D. (New York), Nonlinear Analysis, Applied Partial Differential Equations 
Zou, Henghui, Associate Professor of Mathematics, 1994, B.S. (Xiangtan, P.R.C.), M.S. (Peking, P.R.C.), Ph.D. (Minnesota), Nonlinear Partial Differential Equations, Nonlinear Analysis 