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Department of Mathematics
Brigham Young University
Provo, Utah 84602
8014222061
Fax: 8014220504
office@mathematics.byu.edu
Department Chair: Paul Jenkins
Associate Chair: Todd Fisher
Associate Chair: Stephen Humphries
Graduate Coordinator: Jared Whitehead
Graduate Secretary: Debra Tait
Graduate Committee:
Jared Whitehead (Chair)
Jennifer Brooks (Associate Chair)
Jasbir Chahal (thesis evaluation)
Sum Chow (exit interviews)
Robert Snellman (TA Training)
Graduate Student Advisory Council:
Office Graduate Studies
Graduate Studies Staff
 Mission Statement
 Graduate Programs
 Mathematics Department
 Applications and Admissons
 Financial Support and Employment
 Living Expenses and Tuition
 Program Purpose and Objectives
 Program Requirements and Offerings
 Advisement
 Graduation and Evaluation of Student Progress
 Graduate Student Advisory Committee
 Courses and Seminars
 Graduate Faculty and Areas of Interest
Mission Statement
The Department of Mathematics at Brigham Young University serves the university community and furthers the university’s mission through the pursuit of excellence in teaching, scholarship, and service.
We offer a firstrate education to students, preparing them for career success in both academia and industry. Such an education inspires students, intellectually enabling them to employ critical analysis, logical deduction, thoughtful synthesis, and insightful problemsolving skills in any career path.
We extend the frontiers of mathematical knowledge in ways that involve students and colleagues, support the undergraduate major and graduate programs of the department, contribute to our understanding of the universe and the nature of truth, and bring positive recognition to the university.
Graduate Programs
The Department of Mathematics has approximately 35 graduate students, and supports most of them via teaching assistantships. These students receive help with tuition as well as a stipend for the teaching support they provide in college algebra and calculus.
Two degrees are offered through the Department of Mathematics: mathematics—MS; and mathematics—Ph.D.
MS students study mathematics courses in preparation for careers in business, industry, government, or education. Some students use a master’s degree in mathematics in preparation for a doctoral degree in mathematics or a closely related discipline or a discipline where technical competence is appreciated. Master’s students graduate in an average of two years.
The department supports from 1015 Ph.D. students. Designed for gifted and dedicated students, the program requires about four years beyond a master’s degree. The department has research interests in the areas of applied mathematics, algebraic geometry, geometric analysis, dynamical systems, number theory, geometric and lowdimensional topology, mathematical biology, and group theory. Ph.D. students graduate in, on average, four years.
Mathematics Department
With an enrollment of nearly 30,000 fulltime students, Brigham Young University, founded in 1875 as Brigham Young Academy, is one of the nation’s largest private universities and ranks 7th in the nation among all undergraduate institutions for the number of alumni who successfully complete a Ph.D. in mathematics or statistics.
The faculty of the Brigham Young University Department of Mathematics includes some of the most renowned instructors, researchers, and mentors in the nation. They are recognized for their research and creative endeavors, innovations and discoveries, excellence as teachers and advisors, and for their outstanding service in department and university appointments.
Our faculty members have received university, college or national teaching and research awards. The math department regularly places in the top 20 of the Putnam Mathematical Competition, an annual competition for the brightest mathematical student minds in the country.
Each fall, the BYU mathematics department offers a career and internship talk series for students. We invite 58 guest speakers who talk about internships and careers opportunities for mathematics majors. Past speakers have included a lawyer, a doctor, an actuary, an operations researcher at communications firm, a senior scientist at a pharmaceutical company, a mathematician at Lawrence Livermore National Lab, the president of a computer company, and a financial planner at Goldman Sachs. These presentations have been very popular with an average attendance of about 200 people.
Mathematics is central to life in a technological society. The rigor and discipline required to excel in mathematics develop skills that are in constant demand. Therefore, graduates are equipped to obtain positions in a wide variety of business, governmental, and industrial enterprises. Mathematics majors are also sought after by professional schools of law, medicine, and management. Mathematical experience beyond basic calculus enhances the life and capabilities of every intellectually curious student.
BYU Location
Brigham Young University is located in Provo, Utah. Provo is 45 miles south of Salt Lake City, a major metropolitan area. Salt Lake City is home of the Mormon Tabernacle Choir, the Utah Jazz, the Utah Symphony, and a large number of other attractions.
Religious Environment
The Church of Jesus Christ of Latterday Saints sponsors BYU to provide a university education in an atmosphere that nurtures spiritual growth and a strong conviction of the divinity of Jesus Christ. Church programs are closely correlated at all levels with the activities of the university, and students will find many opportunities to grow spiritually.
There are about twentyfive other religious denominations represented in the BYU student body. These students are encouraged to attend a congregation of their faith in the surrounding area.
University Devotionals
University devotionals are held throughout the year on Tuesdays at 11:05 a.m. They provide an inspirational and integrative part of the university experience. Devotional speakers, selected from the General Authorities and other leaders of the Church and university personnel, come to teach the gospel and affirm the spiritual dimension of the university experience for students, faculty, and staff.
University Forums
University forums are held on selected Tuesdays at 11:05 a.m. and are designed to enrich the general education experience. Speakers are noted authorities in the arts, sciences, humanities, media, and government, chosen for their contributions to their field and their ability to inspire and communicate. Participation in these assemblies and the associated questionandanswer sessions prompts inquiry into significant intellectual, cultural, and social issues and helps lay the foundation for lifelong learning.
Harold B. Lee Library
The Harold B. Lee Library collection numbers over eight million volumes, including books, periodicals, government documents, microfilm, and other nonprint items. The library’s Webbased catalog contains numerous fulltext databases and many electronic indexes to other sources.
The library is a depository for United State government documents and regularly receives publications of state and local governments. The Religion and Family History Library supports family history and genealogical research through an extensive collection of microfilm, microfiche, and online resources. L. Tom Perry Special Collections houses noncirculating books and manuscripts related to Mormonism, western Americana, incunabula, Victorian and Edwardian literature, historical manuscripts and photographs, motion pictures, and many other preserved items for research and use.
Cultural Environment
Students can immerse themselves in the culture at BYU through the Performing Arts Series, Museum of Art, and Museum of Peoples and Cultures.
Athletic Facilities
BYU’s athletic facilities are among the best in the nation. The Richards Building has facilities for racquetball, volleyball, basketball, aerobics, dance, and swimming. The Smith Fieldhouse houses ball courts, weight rooms, an indoor track, and a west annex big enough for spring batting practice.
The Great Outdoors
The Wasatch Mountains overlook BYU on the east, and Utah Lake lies to the west. Within an hour’s drive are several canyons and ski resorts; six national parks are only a halfday away. Outdoor gear may be rented on campus for everything from skiing to windsurfing.
Applications and Admissions
University Application Requirements
Admission to graduate study is highly selective and is granted to a specific program for a specific semester or term. As a minimum, applicants who wish to be considered for admission must do the following:
U.S. Applicants
 Submit a complete application before the application deadline. An application is not considered complete until the application fee has been paid and all official transcripts, letters of recommendation, the statement of intent, and the confidential report are in, as well as parts A and D of the admissions application.
 Agree to maintain university standards of personal conduct.
 Have received or been about to receive a baccalaureate degree from an accredited U.S. or Canadian university. The Office of Graduate Studies must receive an official transcript showing that the degree has been conferred. Without such verification, registration will not be permitted beyond the first semester. U.S. students with a degree from a foreign university equivalent to an American baccalaureate must submit official transcripts from all institutions attended and an accompanying certified translation.
 Have earned at least a 3.0 GPA in the last 60 semester hours of coursework.
 All applicants for whom English is not the native language: Submit evidence of proficiency in English.
 Have a score of at least 600 on the GRE Math Subject Test. THE GRE MATH SUBJECT TEST WILL NOT BE REQUIRED FOR APPLICANTS IN 2021.
 Satisfy departmental requirements for consideration. See all the sections under the Mathematics Department Application and Admission Requirements.
International Applicants (all nonU.S.)
 Submit a complete application before the application deadline. An application is not considered complete until the application fee has been paid and all official transcripts, official evidence of degrees earned, letters of recommendation (Part C), the statement of intent, official TOEFL score, financial certification, and the Code of Honor commitment and confidential report (Part B) are in, as well as Parts A and D of the admissions application.
 Agree to maintain university standards of personal conduct.
 Submit official transcripts from each institution attended, with accompanying certified English translation.
 Submit a copy of a diploma (preparation completed at least equivalent to a U.S. bachelor’s degree), with accompanying official English translation.
 Have earned at least a 3.0 GPA (on a 4.0 scale) for all previous undergraduate work.
 Submit a TOEFL score of at least 580. To be competitive for financial support, a TOEFL score of at LEAST 600 or a computer equivalent score of at least 237 is preferred. This is required of all applicants for whom English is not the native language. Students with a bachelor’s degree from a U.S. or Canadian university are usually exempt from this requirement.
 Have a score of at least 600 on the GRE Math Subject Test.
 Submit a completed Financial Certification and Visa Information form with supporting documents. Applicants must provide proof of sufficient funds for the total length of their program of study.
 Satisfy departmental requirements for consideration. See all the sections under the Mathematics Department Application and Admission Requirements.
Note: Brigham Young University will not process applications from applicants entering the United States with a B visa. An admitted student will receive an I20 or IAP66 form (Certificate of Eligibility) with the official letter of acceptance; the I20 and IAP66 are used to obtain a student visa (F1 or J1).
Financial Support and Employment
Most of the graduate students in mathematics are supported by teaching assistantships. The usual load for a teaching assistant is twenty hours a week. Teaching assistants currently receive a stipend of $17,400 for MS and $19,800 for PhD per calendar year. Some research or travel funding is available for those students who are making good progress toward a degree, and who have submitted a program of study and have an advisor’s endorsement.
To be considered for financial support, applications should be submitted by January 15 for fall semester and September 15 for winter semester.
Guidelines for the Continuation of Financial Support
Continued financial support is recommended for graduate teaching assistants who are making satisfactory progress in an approved program of study and who are judged satisfactory in their teaching duties. Quality teaching performance is essential for continuation. Unsatisfactory teaching may lead to loss of support, and cases of conspicuous irresponsibility or neglect will be cause for immediate termination.
Employment Outside the Mathematics Department
The combined obligations of teaching and studying are fulltime undertakings. The Department of Mathematics does not permit teaching assistants to assume any additional form of employment.
Teaching Loads and Tuition Waivers
The normal teaching load for a teaching assistant is twenty hours per week. Duties include teaching, grading, holding office hours, recitations, and working in the Math Lab.
In addition, full tuition for mathematics courses will generally be provided for teaching and research assistants during fall and winter semesters, provided they make adequate progress in their programs of study and regularly attend an appropriate seminar and the TA training (if applicable). Tuition may also be paid in spring and summer, depending on department budget constraints.
The department will not pay additional tuition for courses that are not on the student’s program of study. For example, a student enrolled in six hours of mathematics courses and three hours of physical education courses will have tuition paid only for the six hours of mathematics courses. However, a student who is enrolled fulltime (8.5 hours in fall/winter, 4.5 hours in spring/summer) in mathematics courses will have fulltime tuition paid by the mathematics department. Thus that student may then take additional nonmathematics courses that do not interfere with performing other responsibilities without charge. Students may petition the graduate committee to take courses outside the math department, provided the courses are relevant to their program of study, and have been approved by their advisors. AUDITED CLASSES ARE NOT COVERED BY THE DEPARTMENT unless special permission is granted by the graduate coordinator.
Living Expenses and Tuition
Tuition
A significant portion of the cost of operating the university is paid from the tithes of The Church of Jesus Christ of Latterday Saints (LDS). Therefore, students and families of students who are tithepaying members of the Church have already made a contribution to the operation of the university. Because others have not contributed in this way, they are charged a higher rate of tuition, as shown below. This practice is similar in principle to that of state universities that generally charge nonresidents at a higher rate than residents.
Graduate Tuition 202021
https://finserve.byu.edu/Tuition_Fees_And_Deadlines#t2
Fall and winter semesters:
FullTime (8.5+ hours) Latterday Saint: $3,645 NonLatterday Saint: $7,290
PartTime (per credit hour) Latterday Saint: $430 NonLatterday Saint: $860
Spring and summer terms:
FullTime (4.5+ hours) Latterday Saint: $1,823 NonLatterday Saint: $3,645
PartTime (per credit hour) Latterday Saint: $416 NonLatterday Saint: $832
Teaching and research assistants receive a tuition scholarship for mathematics courses fall and winter semesters if they are making good progress toward completion of their program.
Estimated Expenses for 20202021 fulltime graduate study
Program Purpose and Objectives
The general objective of the Department of Mathematics at Brigham Young University, as related to the degrees offered by the department, is to teach mathematics and mathematical thinking at the level appropriate to each student. This enables students to employ critical analysis, thoughtful synthesis, logical deduction, and insightful problem solving, not only within mathematics itself but also in a wide variety of natural and manmade situations
MS Objectives
The Master of Science program is specifically designed to help students as they progress towards becoming independent mathematical thinkers and participate in advancing the frontiers of mathematical knowledge. The program also prepares students for positions in business and industry that require advanced mathematics skills, critical analysis, thoughtful synthesis, and insightful and independent problemsolving.
Ph.D. Objectives
The specific purpose of the Doctor of Philosophy program in mathematics is to prepare students for a career in research and teaching at the university level. It also prepares them for professions that require independent mathematical research, advanced mathematical knowledge, critical analysis, thoughtful synthesis, and insightful and independent problemsolving. It gives students an opportunity to become full contributors to the important and exciting process of extending the frontiers of mathematical knowledge.
The underlying philosophy of the program is that graduatelevel mathematics is both enabling and ennobling. Mathematical knowledge, logical reasoning, and the ability to solve problems and discover mathematical truths are powerful and important skills that promote student success in a wide range of academic, professional, or businessrelated careers.
But more importantly, deep and careful mathematical thought expands both the mind and the soul. It increases understanding of many things, both physical and spiritual. Our purpose in this program is to enrich the spiritual and temporal lives of our students by sharing the beauty and power of mathematics with them.
The accomplishment of these objectives requires the students to gain a deep understanding of and appreciation for mathematics, its versatility, depth, and power. They must also understand important ideas of the main mathematical subdisciplines and the relationship of mathematics to other subjects.
Finally, students should be able to work independently, without the direct supervision and guidance of a senior mathematician. The development of this independence is certainly begun at the undergraduate and master’s levels, but for most students, it can only be fully achieved at the doctoral level. Although coursework plays some role in the requirements for the Ph.D. in mathematics, the most important element is the dissertation, a significant and substantial work of original mathematical research.
Specific goals of the programs
The specific goals of the MS in mathematics are to help each individual student.
 Achieve an understanding of graduatelevel mathematics, including several areas such as analysis, algebra, topology, and applied mathematics.
 Achieve depth and application in a specialized area.
 Develop mathematical research skills.
 Develop problemsolving skills applicable to a wide variety of settings.
 Learn to communicate complex ideas effectively and demonstrate sound reasoning in both quantitative and qualitative settings.
 Acquire the mathematical foundation necessary to enter a variety of opportunities in occupations and further schooling.
 Relate knowledge of mathematics and mathematical processes to physical, natural, and social sciences, humanities, and other human endeavors.
 Develop a reasoned relationship between secular knowledge and spiritual insight that fosters faith and commitment to the gospel of Jesus Christ and leads to lifelong learning and service.
The specific goals of the Ph.D. in mathematics are to help each individual student.
 Achieve a broad understanding of graduatelevel mathematics, including several areas such as analysis, algebra, topology, and applied mathematics.
 Achieve depth and a thorough knowledge of current developments in a specialized area.
 Develop mathematical research skills at the doctoral level, discovering significant new results in mathematics or solving outstanding problems.
 Develop expository skills that will allow communication of future research results with the academic world.
 Learn to communicate complex ideas effectively and to reason soundly in both quantitative and qualitative settings.
 Acquire the expertise necessary to continue to contribute to the frontiers of mathematical knowledge.
 Relate knowledge of mathematics and mathematical processes to physical, natural, and social sciences, humanities, and other human endeavors.
 Develop a reasoned relationship between secular knowledge and spiritual insight that fosters faith and commitment to the gospel of Jesus Christ and leads to lifelong learning and service.
Program Requirements and Offerings
The Department of Mathematics offers a master’s and a doctoral program. The Master of Science (M.S.) program prepares students for positions in business and industry, and also provides preparation for further graduate study leading to a doctoral degree at Brigham Young University or elsewhere.
The Doctor of Philosophy (Ph.D.) program prepares students for a career in research and teaching at the university level. The Ph.D. program in mathematics was approved in 1986 when the department received a program improvement grant to fund teaching assistantships in mathematics. The current research areas of the faculty include; algebraic geometry, applied mathematics, dynamical systems, combinatorics, geometric and lowdimensional topology, geometric and combinatorial group theory, number theory, numerical methods, mathematical biology, and partial differential equations.
With small classes and individual attention, the department supports highquality research programs in the selected areas.
Mathematics M.S. Degree
Approved Courses (Both Thesis and NonThesis Programs)
Approved graduate mathematics courses include all classes numbered 500 and above, with the exception of Math 500 and Math 502. All courses must be passed with a grade of C+ or better. No credit is given for prerequisite courses such as Math 342 or Math 372.
Students are required to submit a program of study before the end of the third week of their second semester. The university now uses the GRADPROG system for recording programs of study and other information having to do with a student’s graduate program. Instructions for using GRADPROG may be found here.
Note: The minimum registration requirement is six credit hours per year. Students not meeting this requirement will be dropped from the program.
Thesis Program Requirements
 Credit hours (30): Minimum 24 coursework hours in approved graduate proposed graduate mathematics with a grade of C+ or better in each, and six thesis hours (Math 699R). Three of the course hours must be from one of three areas of applied mathematics, analysis, or algebra, and another three course hours must be from one of the remaining two areas. With the approval of the graduate coordinator, graduatelevel courses in other departments can be used toward the coursework hours.
 Examination: The examination requirement in the thesis program may be met by way of coursework, or by way of the written examination as explained below, in two of three broadly defined areas of applied mathematics, analysis, and algebra, by the end of year two. Failure by a master’s student to meet the examination requirement by the end of year two will result in the discontinuation of financial support for that master’s student at the end of year two.
 Continuing master’s students have the option of meeting the examination requirement under the current or new system.

 Coursework, To meet the examination requirement by way of coursework, a master’s student will need to earn an A or better in two courses, or their equivalents at another institution, with one course in one of the three areas and another course in one of the remaining two areas. Courses in the area of applied mathematics include, but are not limited to, Math 510, Math 511, Math 521, Math 522, Math 611, and Math 636. Courses in the area of Analysis included but are not limited to Math 532, Math 540, Math 541, Math 565, Math 641, and Math 655. Courses in the area of Algebra include but are not limited to Math 561, Math 571, Math 572, Math 586, Math 656, and Math 676. A graduate course, or its equivalent at another institution, can only be used to count towards one of the three areas. For example, Math 636 (Probability 1) is both applied mathematics and analysis, but it can only be counted for one of these two areas. The Graduate Committee will maintain a list of associations of graduate courses with the three areas.
 A master’s student may meet the examination requirement by way of graduate coursework completed as an undergraduate.
 Written Examination. To meet the examination requirement by way of written examination, a master’s student will need to pass written examinations in two of the three areas. The written examinations will be based on published syllabi associated with the basic courses listed below. If a master’s student has earned an A or better in one course associated with one of the three areas, but not in another course in another area, the master’s student need only pass one written examination in an area not met by coursework. Written examinations will be offered in August/September, January, and May.
The Graduate Committee may change the basic courses associated with any of the three areas, but there will always be two basic courses associated with each of the three areas. No written examinations are available for other courses.
 Graduate Program of Study Students are required to submit a program of study before the end of the third week of their second semester. The university now uses the GRADPROG system for recording programs of study and other information having to do with a student’s graduate program. Instructions for using GRADPROG may be found here.
 Thesis
 Oral Defense of thesis
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Requirements for Degree — Nonthesis Program
 Credit hours (32): Minimum 30 coursework hours in approved graduate proposed graduate mathematics with a grade of C+ or better in each, and two hours for the project (Math 698R). Three of the course hours must be from one of three areas of applied mathematics, analysis, or algebra, and another three course hours must be from one of the remaining two areas. With the approval of the graduate coordinator, graduatelevel courses in other departments can be used toward credit hours.
 Examination: The examination requirement in the thesis program may be met by way of coursework, or by way of the written examination as explained below, in two of three broadly defined areas of applied mathematics, analysis, and algebra, by the end of year two. Failure by a master’s student to meet the examination requirement by the end of year two will result in the discontinuation of financial support for that master’s student at the end of year two.Continuing master’s students have the option of meeting the examination requirement under the current or new system.
 Coursework, To meet the examination requirement by way of coursework, a master’s student will need to earn an A or better in two courses, or their equivalents at another institution, with one course in one of the three areas and another course in one of the remaining two areas. Courses in the area of applied mathematics include, but are not limited to, Math 510, Math 511, Math 521, Math 522, Math 611, and Math 636. Courses in the area of analysis include but are not limited to Math 532, Math 540, Math 541, Math 565, Math 641, and Math 655. Courses in the area of algebra include but are not limited to Math 561, Math 571, Math 572, Math 586, Math 656, and Math 676. A graduate course, or its equivalent at another institution, can only be used to count towards one of the three areas. For example, Math 636 (Probability 1) is both applied mathematics and analysis, but it can only be counted for one of these two areas. The Graduate Committee will maintain a list of associations of graduate courses with the three areas. A master’s student may meet the examination requirement by way of graduate coursework completed as an undergraduate.
 Written Examination. To meet the examination requirement by way of written examination, a master’s student will need to pass written examinations in two of the three areas. The written examinations will be based on published syllabi associated with the basic courses listed below. If a master’s student has earned an A or better in one course associated with one of the three areas, but not in another course in another area, the master’s student need only pass one written examination in an area not met by coursework. Written examinations will be offered in August/September, January, and May. Previous exams may be used as study guides.
 Applied Mathematics: Math 521 and Math 522
 Analysis: Math 540 and Math 541
 Algebra: Math 571 and Math 572
The Graduate Committee may change the basic courses associated with any of the three areas, but there will always be two basic courses associated with each of the three areas. No written examinations are available for other courses.
 Graduate Program of Study: Students are required to submit a program of study before the end of the third week of their second semester. The university now uses the GRADPROG system for recording programs of study and other information having to do with a student’s graduate program. Instructions for using GRADPROG may be found here.
 Project and presentation: Write a paper about the project (Math 698R) which should focus on an area of advanced mathematics and present a 45minute talk based on the paper.
M.S. Degree Recommended Schedule of Study
Below is a recommended schedule of courses for students in the master’s program. Students should consult with their advisors to determine whether some deviation from this plan is better suited to their individual needs. The standard load for a student with a teaching or research assistantship is 9 credit hours of graduatelevel mathematics courses per semester. Students who enroll in fewer mathematics courses may have trouble completing their program requirements in a timely manner. Students not enrolled in at least six hours of mathematics courses per semester are generally not making satisfactory progress toward completion of their degree and may have their funding reduced or their degree candidacy terminated.
Semester 1 (Fall)
 Take Math 541, Math 553, and Math 571 or Math 510, or other courses as directed by your (perhaps temporary) advisor.
 Attend the weekly graduate seminar and department colloquia.
 Choose an advisory committee and prepare a study list.
 Take the master’s algebra and analysis exams in August.
Semester 2 (Winter)
 Take Math 540, Math 554, and Math 572, or other courses as directed by your advisor.
 Submit your study list before the end of the third week of the semester.
 Attend the weekly graduate seminar.
 Pass the master’s exams (in January and February if necessary).
Spring/Summer
 Begin the thesis or project.
 Take reading courses relevant to the thesis or project, as directed by your advisory committee.
Semester 3 (Fall)
 Take at least three hours of 600level courses.
 Take six more hours of courses according to your study list (some may be thesis or project hours).
 Attend a weekly research seminar as directed by your advisor, and attend department colloquia.
 Continue work on your thesis or project.
Semester 4 (Winter)
 Take at least three hours of 600level courses.
 Take six more hours of courses according to your study list (some may be thesis or project hours).
 Attend a weekly research seminar as directed by your advisor.
 Finish and defend the thesis or project.
Guidelines for M.S. Degree Projects and Theses
Content
A mathematics MS project should entail learning mathematics not normally taught in graduate or undergraduate classes. It may be of an expository nature or may involve the investigation of mathematical structures in some depth. It does not need to include original research, but it should include some proofs.
A mathematics MS thesis should be a substantial mathematical work. This does not only refer to length, but rather to content. Students should pursue original work sufficient for publication in a college mathematics journal. The thesis should be the work of the student and should not be written primarily by the advisor. Other than original work the thesis might be an account of work at the frontier of research in a particular area, perhaps including new examples worked out in detail.
Computational/algorithmic projects or theses are also possible; however, the mathematical content needs to be the core of the writing.
Students should be stretched and will be called to account for the logical content of their written work. They should contribute in some way to mathematics and not just reiterate what they have already learned.
Students should be aware of the limitations of their methodology (e.g. statistical significance) yet also be aware of the possibilities for amplification of their results. They should have a broad view of the subject matter and how what they have done fits into the general subject.
Presentation or Defense
The student should give a presentation in which the essential ideas of the written work are exposed and put into context. The student should be able to answer straightforward questions on the basic parts of their work, indicating a thorough understanding. The talk should include at least one proof. Please contact the graduate secretary in order to schedule a final oral examination.
Mathematics Ph.D. Degree
 Credit Hours (54): Minimum 36 coursework hours in mathematics courses numbered 600 or above (Math 521, 522, 540, 541, 571, 572 may be substituted) with a grade of B or better in each, plus 18 dissertation hours (Math 799R). More than nine credit hours of Math 695R being counted towards the coursework hours requires approval of the graduate coordinator. Graduatelevel courses in other departments can be counted toward the coursework hours with the approval of the graduate coordinator.
 Required Courses: Complete six credit hours in one of the three areas applied mathematics, analysis, and algebra, and complete six credit hours in one of the remaining two areas.
 Examination Requirement: The examination requirement ensures that PhD students have acquired a sufficient level of mathematical mastery to undertake highlevel research. The examination requirement can be met by way of coursework or by way of written examination, as explained below, in two of three broadly defined areas of applied mathematics, analysis, and algebra, by the end of year two. Failure of a PhD student to meet the examination requirement by the end of year two will result in the discontinuation of funding at the end of year two.
Continuing PhD students have the option to meet the examination requirement under the current or new system. Coursework. To meet the examination requirement by way of coursework, a PhD student will need to earn an A or better in four courses, or their equivalents at another institution, with two of the four courses in one of the three areas and two courses in one of the remaining two areas. Courses in the area of applied mathematics include but are not limited to Math 510, Math 511, Math 521, Math 522, Math 611, and Math 636. Courses in the area of analysis include but are not limited to Math 532, Math 540, Math 541, Math 565, Math 641, and Math 655. Courses in the area of algebra include but are not limited to Math 561, Math 571, Math 572, Math 586, Math 656, and Math 676. A graduate course or its equivalent at another institution can only be used to count towards one of the three areas. For example, Math 636 (Probability 1) is both applied mathematics and analysis, but it can only be counted for one of these two areas. The Graduate Committee will maintain a list of associations of graduate courses with the three areas.
 Written Examinations: To meet the examination requirement by way of written examination, a PhD student will need to pass written examinations in two of the three areas. The written examinations will be based on published syllabi associated to the basic courses listed below. If a PhD student has earned an A or better in two courses associated to one of the three areas, but not in two courses in another area, the PhD student need only pass one written examination in an area not met by coursework. Written examinations will be offered in August/September, January, and May.
The Graduate Committee may change the basic courses associated to any of the three areas, but there will always be two basic courses associated to each of the three areas. No written examinations are available for other courses.  Applied Mathematics: Math 521 and Math 522
 Analysis: Math 540 and Math 541
 Algebra: Math 571 and Math 572
 Dissertation: A PhD student must register for and complete a minimum of 18 hours of dissertation credit Math 799R. No more than 18 hours may count toward the 54 hours required, and all 18 hours may not be taken in one term or semester. Registration for dissertation credit and work on the dissertation must be concurrent. A PhD student may not register for Math 799R until that student has completed the examination requirement and completed 27 credit hours of the required 36 credit hours of coursework.
Defense of Dissertation: A final oral defense of the dissertation is conducted by a faculty committee consisting of the student’s research advisor and four other members of the faculty (one of whom must be an outside examiner). Defenses must be scheduled NO LATER THAN two weeks before the date of the defense. Students will not be permitted to defend their dissertations until their faculty advisors have approved their work. To schedule the final oral exam, contact the graduate secretary.
Ph.D. Degree Recommended Schedule of Study
The following schedule is recommended for teaching assistants in the Ph.D. program. Except where there are extenuating circumstances, teaching assistants who fall more than one year behind this schedule should not expect their teaching assistantships to be renewed. Students who have strong potential but lack adequate preparation may petition to have a year zero added in which they complete their preparation for the Ph.D. program. During this year, their teaching duties and pay will be similar to master’s students. Students who have passed fewer than two of the three required qualifying examinations by February of their second year will not be allowed to continue. Students who have passed only two of the three examinations by February of the second year may request special permission to continue for an additional year by submitting a written request to the student’s graduate committee. The student’s committee reviews the request and submits a written recommendation to the departmental graduate committee. In addition, students who have completed an M.S. degree at BYU are required to pass at least one examination by February of their first year of study in the Ph.D. program in order to continue beyond the first year.
Year 1
 Take three 600level yearlong mathematics sequences.
 Attend the weekly graduate seminar (or a research seminar, as directed by your advisor).
 Select an area of specialty, an advisor, and an advisory committee.
 Attend department colloquia.
 Prepare a study list in consultation with your advisor (due during the first year, and no later than the first week of the second year).
 Pass at least one qualifying exam.
Year 2
 Take nine credit hours of advanced graduate courses each semester, ideally in yearlong sequences (Dissertation hours may suffice for some of these credit hours).
 Attend a weekly research seminar, as directed by your advisor.
 Attend department colloquia.
 Pass three written qualifying examinations by the end of the year.
Year 3
 Continue taking advanced graduate courses.
 Actively participate in research seminars.
 Attend department colloquia.
 Begin work toward a dissertation.
Year 4
 Devote primary attention to finishing the dissertation.
 Continue participating in advanced courses and seminars.
 Consider publishing dissertation results in a journal and present them at a professional conference.
 Find research topics to pursue beyond a dissertation and begin to develop a longterm research plan.
 Complete the requirements for the doctoral degree.
Note: It is expected that students attend a seminar of their choice as well as colloquia throughout their programs
Advisement
Temporary Advisor
Once accepted into the graduate program, students are assigned a temporary advisor who guides their first registration and individual study until the student selects an advisory committee, which is appointed in the first semester. Students should contact their temporary advisor well before their first semester of graduate study so that they can be sure to enroll in courses best suited to their individual case.
Advisor and Advisory Committee
The advisor plays a significant role in guiding the student through the program and helping the student become an independent mathematician. The advisor helps the student choose a project, thesis, or dissertation topic, and gives guidance and supervision throughout the task.
Choosing an Advisor
The main component in choosing a professor to be an advisor should be to match the student’s research interests with the type and quality of research done by the professor. In order to determine the type of research currently being done by faculty members, students should attend the various seminars offered. Once a student has determined that someone has similar interests, the student should then consult with the professor and ensure that he or she is willing to act as an advisor.
Advisory Committee
During the first semester, students should work with the selected advisor to arrange for the appointment of an advisory committee. Master’s (thesis and project) committees consist of a chair and at least two other members; doctoral committees have a chair and at least four other members. The department may require additional members.
Program of Study List
The goal of the graduate program in mathematics is for the student to become an independent mathematician. This is not accomplished by taking a random selection of courses but by carefully working with an advisory committee to create a program that has a solid mathematical foundation and meets the student’s interests.
The university now uses the GRADPROG system for recording programs of study and other information having to do with a student’s graduate program. Instructions for using GRADPROG may be found here.
Master’s students should complete the program of study list under the direction of their graduate committee during the student’s first semester, and in no case later than the third week of the second semester. A master’s committee must consist of a chair and at least two members.
Doctoral students should receive approval and submit their program of study during the first year, and in no case later than the third week of the beginning of the second year of study. A doctoral committee must consist of a chair and at least four members.
Financial support will be reduced and may be withdrawn if a study list is not submitted on time. The Graduate Study List gives the approved courses of study for the graduate degree. It is possible at any time to amend the study list for courses not yet taken. In the new GRADPROG system, changes to a student’s program of study must be cleared through the department’s graduate secretary.
In addition to the official study list, by the end of October of each year, students should submit a tentative schedule of when they plan to take each remaining course on their study list. This allows the graduate committee to ensure that graduate course offerings for the coming year will meet students’ needs.
Graduation and Evaluation of Student Progress
Graduation Dates and Deadlines
Click on the following link for the university graduation dates and deadlines. You’ll need to scroll down to find them.
University dates and deadlines
Department Graduation Deadlines
Graduation
The math department encourages students to complete their degree programs in a timely fashion. An MS degree is expected to take two years to complete while a Ph.D. should take four years. We understand that unavoidable delays may occur, plans may change, and personal challenges may arise. However, taking too much time to graduate reflects poorly on the student, advisors, and department. Students should not extend the time it takes to graduate.
For instructions to apply for graduation, visit the following website
https://gradstudies.byu.edu/page/graduation
Evaluation Process
I. The math department will monitor graduate student progress twice a year (usually fall semester and spring term).
A. The graduate committee will review the progress of each student.
B. Students will be rated as making satisfactory, marginal, or unsatisfactory progress.

 If marginal or unsatisfactory progress is noted, students will be notified in writing what they need to do, when it needs to be accomplished, and who to contact for help to demonstrate satisfactory progress.
 Students who receive an unsatisfactory evaluation will not be eligible to obtain financial support.
C. Students will be notified in writing of their progress. The letter will contain information regarding the following:

 What they need to do to make satisfactory progress,
 When each task needs to be accomplished,
 Which faculty member(s) they should contact for more information or support,
 What will happen if these tasks are not accomplished (e.g., an unsatisfactory rating for the next semester, termination from the program, etc.).
II. Definitions of ratings:
A. Satisfactory progress includes the following:

 On track in all things to successfully graduate within the proper time frame.
 No concerns with departmental responsibility.
B. Marginal progress includes the following:

 Failure to submit program of study within the first two semesters.
 Failure to establish a graduate committee within the first two semesters.
 Registering for thesis hours but doing little or no work.
 Minimal contact with chair or advisory committee members.
 Failure to maintain a 3.0 GPA.
 Earning an unacceptable grade in a study list course (C+ grade for master’s students, and a B grade for doctoral students).
 Unsatisfactory performance of departmental responsibilities.
C. Unsatisfactory progress includes the following:

 Failing a course.
 Not progressing at a rate necessary to finish all courses in a timely manner.
 Not meeting the requirements set forth in a previous marginal evaluation.
 Poor performance in research.
 Lack of ethics.
III. If a student receives a marginal and an unsatisfactory or two unsatisfactory ratings in succession the department will:
A. Terminate the student’s program at the conclusion of the semester OR
B. Submit a Petition for Exception (OGS Form 2) to Graduate Studies making a convincing case that the student should be given another semester to demonstrate satisfactory progress. A copy of a contract to completion listing student and faculty responsibilities and a timeline must be attached. This document will include the signatures of the student and the student’s graduate committee. Note: The completion deadline in AIM will be shortened based on the contract to completion.
IV. If a student receives a marginal rating in one semester and is not making satisfactory progress in the next semester, the student will be rated as making unsatisfactory progress. A student will not be rated as making marginal progress in two sequential semesters. Failing to correct marginal progress is unsatisfactory
Graduate Student Advisory Committee
The Graduate Student Advisory Committee exists to improve the graduate program by:

 Advising graduate students concerning classes, requirements for degrees, and other aspects of the graduate program.
 Making recommendations concerning the graduate program to the Department of Mathematics.
 Assisting the Department in making its policies and requirements fully understood by the graduate students.
 Organizing the weekly graduate seminar.
This committee consists of three graduate students, elected in the fall of each year by the mathematics graduate students. If there are not sufficient nominations, the Graduate Committee may nominate or select members of this committee.
Courses and Seminars
Seminars
Part of becoming an independent mathematician is becoming exposed to a broad range of mathematical research as well as studying some specific areas in greater depth. It is expected that students attend colloquia and a seminar of their choice. Students receiving tuition awards are expected to attend the graduate seminar or, with the approval of their advisor, a research seminar at least 11 weeks per semester. Students are expected to attend at least five department colloquia a semester.
The graduate seminar is a weekly seminar organized by the Graduate Student Advisory Committee. Its purpose is to acquaint students with the faculty and their research, prepare students for the department colloquia, and to permit students an opportunity to share their research with other students. As students advance in the program, it is generally expected that they will attend a regular research seminar instead of or in addition to the graduate seminars.
The research seminars usually include the following:

 Algebra
 Algebraic Geometry
 Dynamical Systems
 Mathematical Biology
 Mathematical Physics
 Number theory
 Partial Differential Equations
 Stochastic Differential Equations
 Topology
Other seminars also run from time to time. Please check on the math department’s homepage for more information.
Courses
We have 20 core courses that are regularly scheduled and that are mainly for firstyear students. The remaining courses (about 10) are determined according to the needs of the current graduate students.
Core Courses
Twenty courses will be taught every year:
Math 510, 511 Numerical Analysis
Math 532 Complex Analysis
Math 540, 541 Real Analysis
Math 543,544 Probability
Math 553, 554 Topology
Math 570 Matrix Analysis
Math 571, 572 Algebra
Noncore courses
Math 586, 587 Number Theory
Math 634, 635 ODEs/Dynamical Systems
Math 640, 641 Analysis
Math 655, 656 Algebraic/Differential Topology
Noncore courses
Other courses are offered less regularly. Consult the course schedule to check availability.
All students should submit their program of study by the end of November of their first year. Students must also submit an additional list to the secretary, giving a schedule of when they plan to take the courses in their programs of study. Students should consult with their advisors to select the most beneficial courses, and to decide when they should take them. The graduate committee uses these lists to determine which classes will be taught the next year and to ensure that students’ coursework needs are met.
Descriptions of Approved Courses
510. Numerical Methods for Linear Algebra. (3)
Prerequisite(s): Math 410 or equivalent.
Numerical matrix algebra, orthogonalization and least squares methods, unsymmetric and symmetric eigenvalue problems, iterative methods, advanced solvers for partial differential equations.
511. Numerical Methods for Partial Differential Equations. (3)
Prerequisite(s): Math 303 or 447; 410; or equivalents.
Finite difference and finite volume methods for partial differential equations. Stability, consistency, and convergence theory.
513R. Advanced Topics in Applied Mathematics. (3)
Prerequisite(s): Instructor’s consent.
521. Methods of Applied Mathematics 1. (3)
Prerequisite(s): Math 334 or equivalent.
Possible topics include variational, integral, and partial differential equations; spectral and transform methods; nonlinear waves; Green’s functions; scaling and asymptotic analysis; perturbation theory; continuum mechanics.
522. Methods of Applied Mathematics 2. (3)
Prerequisite(s): Math 521 or equivalent.
Possible topics include variational, integral, and partial differential equations; spectral and transform methods; nonlinear waves; Green’s functions; scaling and asymptotic analysis; perturbation theory; continuum mechanics.
532. Complex Analysis. (3)
Prerequisite(s): Math 352 or instructor’s consent.
Introduction to the theory of complex analysis at the beginning graduate level. Topics: Cauchy integral equations, Riemann surfaces, Picard’s theorem, etc.
534. Introduction to Dynamical Systems 1. (3)
Prerequisite(s): Math 334, 341; or equivalents.
Discrete dynamical systems; iterations of maps on the line and the plane; bifurcation theory; chaos, Julia sets, and fractals. Computational experimentation.
540. Linear Analysis. (3)
Normed vector spaces and linear maps between them.
541. Real Analysis. (3)
Prerequisite(s): Math 341; 314 or 342; or equivalents.
Rigorous treatment of differentiation and integration theory; Lebesque measure; Banach spaces.
543. Advanced Probability 1. (3)
Prerequisite(s): Math 314 or equivalent.
Foundations of the modern theory of probability with applications.
Probability spaces, random variables, independence, conditioning, expectation, generating functions, and Markov chains.
544. Advanced Probability 2. (3)
Prerequisite(s): Math 543.
Advanced concepts in modern probability. Convergence theorems and laws of large numbers. Stationary processes and ergodic theorems. Martingales. Diffusion processes and stochastic integration.
547. Partial Differential Equations 1. (3)
Prerequisite(s): Math 334, 342; or equivalents.
Methods of analysis for hyperbolic, elliptic, and parabolic equations, including characteristic manifolds, distributions, Green’s functions, maximum principles, and Fourier analysis.
548. Partial Differential Equations 2. (3)
Prerequisite(s): Math 547.
Tools for PDEs and special topics: spherical means, method of descent, subharmonic functions, HamiltonJacobi equations, Riemann invariants, conservation laws for linear and nonlinear waves.
553. Foundations of Topology 1. (3)
Prerequisite(s): Math 451 or instructor’s consent.
Naive set theory, topological spaces, product spaces, subspaces, continuous functions, connectedness, compactness, countability, separation axioms, metrization, complete metric spaces, function spaces, and Baire spaces.
554. Foundations of Topology 2. (3)
Prerequisite(s): Math 553 or instructor’s consent.
Fundamental group, retractions and fixed points, homotopy types, separation theorems, classification of surfaces, Seifertvan Kampen Theorem, classification of covering spaces, and applications to group theory.
561. Introduction to Algebraic Geometry 1. (3)
Prerequisite(s): Math 571 or concurrent enrollment.
Basic definitions and theorems on affine, projective, and quasiprojective varieties.
562. Introduction to Algebraic Geometry 2. (3)
Prerequisite(s): Math 561.
Local properties of quasiprojective varieties. Divisors and differential forms.
565. Differential Geometry. (3)
Prerequisite(s): Math 342 or equivalent.
A rigorous treatment of the theory of differential geometry.
570. Matrix Analysis. (3)
Prerequisite(s): Math 302 or 313 or equivalent.
Special classes of matrices, canonical forms, matrix, and vector norms, localization of eigenvalues, matrix functions, applications.
571. Algebra 1. (3)
Prerequisite(s): Math 372 or equivalent.
572. Algebra 2. (3)
Prerequisite(s): Math 571.
586. Introduction to Algebraic Number Theory. (3)
Prerequisite(s): Math 372 or equivalent.
Algebraic integers; different and discriminant; decomposition of primes; class group; Dirichlet unit theorem; Dedekind zeta function; cyclotomic fields; valuations; completions.
587. Introduction to Analytic Number Theory. (3)
Prerequisite(s): Math 352 or equivalent.
Arithmetical functions; distribution of primes; Dirichlet characters; Dirichlet’s theorem; Gauss sums; primitive roots; Dirichlet Lfunctions; Riemann zetafunction; prime number theorem; partitions.
621. Matrix Theory 1. (3)
Prerequisite(s): Math 570.
Symmetric matrices, spectral graph theory, interlacing, the Laplacian matrix of a graph.
622. Matrix Theory 2. (3)
Prerequisite(s): Math 621.
Research topics in combinatorial matrix theory.
634. Theory of Ordinary Differential Equations. (3)
Prerequisite(s): Math 334, 341; or equivalents.
635. Dynamical Systems. (3)
Prerequisite(s): Math 634.
640. Nonlinear Analysis. (3)
Differential calculus in normed spaces, fixed point theory, and abstract critical point theory.
641. Functions of a Real Variable. (3)
Prerequisite(s): Math 541 or instructor’s consent.
Abstract measure and integration theory; L(p) spaces; measures on topological and Euclidean spaces.
643R. Special Topics in Analysis. (3)
Prerequisite(s): Math 641 or instructor’s consent.
Advanced topics in analysis drawn from pure and applied mathematics.
644. Harmonic Analysis. (3)
Prerequisite(s): Math 532, 541.
Harmonic analysis on the torus and in Euclidean space; pointwise and norm convergence of Fourier series and functionalanalytic aspects of Fourier transforms emphasized.
647. Theory of Partial Differential Equations 1. (3)
Prerequisite(s): Math 541, 547.
648. Theory of Partial Differential Equations 2. (3)
Prerequisite(s): Math 647.
651. Topology 1. (3)
Prerequisite(s): Math 553, 554.
Advanced topics in topology. Topics may include but are not limited to, piecewise linear topology, 3manifold theory, homotopy theory, differential topology, Riemannian geometry, and geometric group theory.
652. Topology 2. (3)
Prerequisite(s): Math 651.
Advanced topics in topology. Topics may include but are not limited to, piecewise linear topology, 3manifold theory, homotopy theory, differential topology, Riemannian geometry, and geometric group theory.
655. Differential Topology. (3)
Prerequisite(s): Math 342 or equivalent; Math 554 or equivalent.
Topological and smooth manifolds, tangent vectors, vector bundles, cotangent bundles, submersions, immersion, and embeddings of submanifolds, transversality, embedding, and approximation theorems, differential forms, wedge products, exterior derivative, orientation, Stokes’ theorem, and integration on manifolds.
656. Algebraic Topology. (3)
Prerequisite(s): Math 655.
Fundamental group and homotopy, Von Kampen theorem, covering spaces, group actions, higher homotopy; simplicial, singular, and cellular homology, homology with coefficients, exact sequences, excision, MayerVietoria; cohomology, universal coefficients, cup product, Poincare duality.
663. Algebraic Geometry 1. (3)
Prerequisite(s): Math 676 or concurrent enrollment.
Basic definitions and theorems on varieties, sheaves, and schemes.
664. Algebraic Geometry 2. (3)
Prerequisite(s): Math 663.
Cohomology of schemes. Classification problems. Applications.
673. Algebra 3. (3)
Prerequisite(s): Math 572 or equivalent.
675R. Special Topics in Algebra. (3)
Prerequisite(s): Math 572.
676. Commutative Algebra. (3)
Prerequisite(s): Math 572.
Commutative rings, modules, tensor products, localization, primary decomposition, Noetherian and Artinian rings, application to algebraic geometry and algebraic number theory.
677. Homological Algebra. (3)
Prerequisite(s): Math 572.
Chain complexes, derived functors, cohomology of groups, ext, and tor, spectral sequences, etc. Application to algebraic geometry and algebraic number theory.
686R. Topics in Algebraic Number Theory. (3)
Prerequisite(s): Math 372, 487, and instructor’s consent.
Current topics of research interest.
687R. Topics in Analytic Number Theory. (3)
Prerequisite(s): Math 352, 487; or equivalents.
Current topics of research interest.
691R. Graduate Mathematics Colloquium. (1)
Prerequisite(s): Math 371 or equivalent.
A diverse set of talks at the graduate level. Students will broaden their knowledge of recent and current research in mathematics. Speakers will be faculty, visitors, and students reporting on thesis work.
695R. Readings in Mathematics. (12)
698R. Master’s Project. (2)
699R. Master’s Thesis. (19)
751R. Advanced Special Topics in Topology. (3)
Prerequisite(s): Math 652.
Current topics in topology of research interest
799R. Doctoral Dissertation. (19)
Graduate Faculty and Areas of Interest
Algebra and Algebraic Geometry

 Stephen Humphries: Group Theory, Lowdimensional Topology
 Tyler Jarvis: Algebraic Curves, Moduli Spaces
 Pace Nielsen: Ring Theory, Module Theory, and Number Theory
 Nathan Priddis: Algebraic Geometry
Combinatorics

 Rodney W. Forcade: Combinatorics, Number Theory, and Graph Theory
Differential Equations and Dynamical Systems

 Mark Allen: Partial Differential Equations
 Lennard Bakker: Dynamical Systems and Celestial Mechanics
 Todd Fisher: Dynamical Systems
 Christopher P. Grant: Nonlinear Partial Differential Equations, Dynamical Systems
 Kenneth Kuttler: Abstract Methods for Nonlinear Partial Differential Equations and Inclusion
 Kening Lu: Nonlinear Partial Differential Equations, Dynamical Systems, and Applied Mathematics
 Tiancheng Ouyang: Nonlinear Partial Differential Equations and Celestial Mechanics
 Benjamin Webb: Dynamical Systems and Applied Mathematics
Minimal Surfaces

 Michael Dorff: Minimal Surfaces, Geometric Function Theory
 Gary Lawlor: Minimal Surfaces
Number Theory

 Roger Baker: Number Theory
 David A. Cardon: Analytic Number Theory, Algebraic Number Theory, Automorphic Forms
 Jasbir S. Chahal: Number Theory
 Darrin Doud: Number Theory
 Paul Jenkins: Number Theory, Modular Forms, Partitions
 XianJin Li: Analytic Number Theory
Numerical Analysis and Applied Mathematics

 Blake Barker: Applied Mathematics, Partial Differential Equations
 ShueSum Chow: Numerical Analysis
 John Dallon: Mathematical Biology
 Emily Evans: Applied Mathematics
 Scott Glasgow: Optics both Classical and Quantum
 Jeff Humpherys: Applied Mathematics, Nonlinear Partial Differential Equations, and Dynamical Systems
 Robin Roundy: Operations Research
 Vianey Villamizar: Numerical Solution of Partial Differential Equations, Wave Scattering, and Asymptotic Methods
 Jared Whitehead: Applied Mathematics, Fluid Dynamics
Topology and Geometric Group Theory


 Gregory Conner: Geometric Group Theory, Topology, and Combinatorial Group Theory
 Denise Halverson: Geometric Topology
 Curtis Kent: Geometric Group Theory
 Eric Swenson: Geometric Group Theory, Topology
